Journal articles: 'Intelligent Software Agent'

1

Cohen, Mark A., Frank E. Ritter, and Steven R. Haynes. "Applying Software Engineering to Agent Development." AI Magazine 31, no. 2 (July 28, 2010): 25. http://dx.doi.org/10.1609/aimag.v31i2.2214.

Full text

Abstract:

Developing intelligent agents and cognitive models is a complex software engineering activity. This article shows how all intelligent agent creation tools can be improved by taking advantage of established software engineering principles such as high-level languages, maintenance-oriented development environments, and software reuse. We describe how these principles have been realized in the Herbal integrated development environment, a collection of tools that allows agent developers to exploit modern software engineering principles.

APA, Harvard, Vancouver, ISO, and other styles

2

SYCARA, KATIA, and DAJUN ZENG. "COORDINATION OF MULTIPLE INTELLIGENT SOFTWARE AGENTS." International Journal of Cooperative Information Systems 05, no. 02n03 (June 1996): 181–211. http://dx.doi.org/10.1142/s0218843096000087.

Full text

Abstract:

We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

APA, Harvard, Vancouver, ISO, and other styles

3

S.Bhamra, G., A. K. Verma, and R. B. Patel. "Intelligent Software Agent Technology: An Overview." International Journal of Computer Applications 89, no. 2 (March 1, 2014): 19–31. http://dx.doi.org/10.5120/15474-4160.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Hongbing, Li, Meng Bo, and Chen Shifu. "An Agent-Based Approach for Constructing Software Systems of Virtual Simulation." International Journal of Virtual Reality 4, no. 4 (January 1, 2000): 97–109. http://dx.doi.org/10.20870/ijvr.2000.4.4.2659.

Full text

Abstract:

The design and construction of virtual reality environments involve technologies such as computer graphics, image processing, pattern recognition, intelligent interface, artificial intelligence, voice recognition, network, parallel processing, and high-performance computing. Some researchers insist that object-oriented and agent-oriented technologies are fundamental for virtual reality system design. This paper applies artificial intelligence to the design of virtual reality systems. Agents are constructed by using object-oriented methods and a set of underlying computing models, such as neural networks, genetic algorithms, expert systems, and plan managers. Some object-oriented frameworks of these computing models are presented to illustrate this approach. The example of a spaceship game will illustrate interactions among environments, agents, and underlying computing models. The approach and reusable class library presented herein can be applied to various virtual reality environment simulations and intelligent applications.

APA, Harvard, Vancouver, ISO, and other styles

5

Wooldridge, Michael, and Nicholas R. Jennings. "Intelligent agents: theory and practice." Knowledge Engineering Review 10, no. 2 (June 1995): 115–52. http://dx.doi.org/10.1017/s0269888900008122.

Full text

Abstract:

AbstractThe concept of anagenthas become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary).Agent theoryis concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents.Agent architecturescan be thought of as software engineering models of agents; researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally,agent languagesare software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper isnotintended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.

APA, Harvard, Vancouver, ISO, and other styles

6

Ifeanyi Isaiah, Achi, and Agwu Chukwuemeka Odi. "Multi Software Agent Based Intelligent Tutoring System." International Journal of Engineering Trends and Technology 20, no. 5 (February 25, 2015): 218–22. http://dx.doi.org/10.14445/22315381/ijett-v20p242.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

VIROLI, MIRKO, ALESSANDRO RICCI, and ANDREA OMICINI. "Operating instructions for intelligent agent coordination." Knowledge Engineering Review 21, no. 1 (March 2006): 49–69. http://dx.doi.org/10.1017/s0269888906000774.

Full text

Abstract:

In contrast to standard approaches based on agent communication languages (ACLs), environment-based coordination is emerging as an interesting alternative for structuring interactions in multiagent systems (MASs). In particular, the notion of coordination artifacts has been proposed as an engineering methodology to build runtime abstractions effectively providing collaborating agents with specifically designed coordination tasks.In this paper, we study the semantics for the interaction of agents with coordination artifacts playing the same role of ACL semantics, that is, supporting semantic interoperability between agents developed by different parties through the connection between rationality and interaction. Our approach is rooted on the notion of operating instructions of coordination artifacts, which—as with a manual for a human exploiting a device—describe the interaction protocols the agent can follow as well as the mentalistic semantics of each single interaction. By tackling some of the most relevant issues raised in the context of ACL semantics, our framework allows intelligent, BDI-like agents to carry on complex interactions through coordination artifacts in a rational way.

APA, Harvard, Vancouver, ISO, and other styles

8

MÜLLER, JÖRG P. "Architectures and applications of intelligent agents: A survey." Knowledge Engineering Review 13, no. 4 (February 1999): 353–80. http://dx.doi.org/10.1017/s0269888998004020.

Full text

Abstract:

The objective of this paper is twofold. In its first part, we survey the state of the art in research on agent architectures. The architecture of an agent describes its modules and capabilities, and how these operate together. We structure the field by investigating three important research threads, i.e. architectures for reactive agents, deliberative agents and interacting agents. Then we describe various hybrid approaches that reconcile these three threads, aiming at a combination of different features like reactivity, deliberation and the ability to interact with other agents. These approaches are contrasted with architectural issues of recent agent-based work, including software agents, softbots, believable agents, as well as commercial agent-based systems. The second part of the paper addresses software engineers and system designers who are interested in applying agent technology to their problem domains. The objective of this part is to assist these readers in deciding which agent architecture to choose for a specific application. We characterise the most important domains to which the different approaches described in the first part have been applied, propose an application-related taxonomy of agents, and give a set of guidelines to select the right agent (architecture) for a given application.

APA, Harvard, Vancouver, ISO, and other styles

9

Ng, Y. C., K. S. Tey, K. R. Subramanian, S. B. Tor, L. P. Khoo, and S. G. Lee. "An Intelligent, Multi-Agent Environment for Concurrent and Collaborative Configuration of Personal Computers." Concurrent Engineering 10, no. 2 (June 2002): 143–51. http://dx.doi.org/10.1177/1063293x02010002639.

Full text

Abstract:

Although Concurrent and Collaborative Engineering (CCE) has enjoyed widespread acceptance in industry, many implementation problems remain. With the advent of more powerful artificial intelligence techniques, CCE can be further improved. This paper demonstrates how intelligent software agents may be deployed to facilitate concurrent, collaborative engineering. A system architecture, Java Agent Alive!, is presented as a multi-agent environment. A case study of configuring a personal computer (PC) from its processor, memory and hard disk drive is discussed to highlight the power of software agents in negotiating for the PC configuration with the best price and performance. A software agent is created and assigned to each of the PC components. These agents attend two levels of agent conferences, viz. the bidding conference and the PC component vendor's conference. At both conferences, each agent strives to offer components with the best performance and the lowest price. The agents were ascribed artificial intelligence through the Java Expert System Shell (JESS). At the end of the negotiations, five PC configurations were finalised that met the expectations of the user, who is informed of the outcome via e-mail. The strengths and limitations of the system architecture and the domain application of PC assembly, as well as means to enhance security, are also discussed. Some recommendations to further improve the limitations of Java Agent Alive! and the PC Assembly application are made.

APA, Harvard, Vancouver, ISO, and other styles

10

Telnov, Yu F., A. V. Danilov, R. I. Diveev, V. A. Kazakov, and E. V. Yaroshenko. "Development of a prototype of multi-agent system of network interaction of educational institutions." Open Education 22, no. 6 (January 14, 2019): 14–26. http://dx.doi.org/10.21686/1818-4243-2018-6-14-26.

Full text

Abstract:

The aim of the researchis to develop a prototype of the intelligent multi-agent system for dynamic interaction of the intelligent agents in the integrated information and educational space to solve the problem of formation of joint educational programs by several educational institutions.Materials and methods.In modern conditions of digital transformation of education the organization of network training of students on dynamically formed educational programs in accordance with the needs of the labor market and the individual requirements of students is becoming increasingly important. It is proposed to develop a software platform based on intelligent multi-agent technology for flexible integration of educational resources and implementation of joint educational programs by several interacting educational institutions. As a basis for the development of the software prototype architecture, the specifications of the developer community for the standardization of agent technologies FIPA (the Foundation for Intelligent Physical Agents), and the software tool environment – JADE framework (Java Agent Development Network) were chosen.Results.The paper presents the architecture of intelligent multi-agent system for network interaction of educational institutions in the integrated information and educational space, which allows to dynamically forming educational programs in accordance with the requested professional competencies. The structure of the ontology of information and educational space, providing the interaction of intelligent agents, is justified, and the mechanism of its display from the OWL format to the format of the tool environment JADE, using the plugin Protege is described. The description of the software prototype, the structure of intelligent agents in the JADE format and the technology of agent interaction, based on the FIPA protocols in the process of educational programs formation is presented.Conclusion.The implementation of the multi-agent system prototype for network interaction of educational institutions allows you to quickly create educational programs in accordance with individual and group learning trajectories under the specific formed professional competence. The presented software prototype with some modification can be used for other subject areas of the digital economy, involving the dynamic formation of network structures of interaction for business partners.

APA, Harvard, Vancouver, ISO, and other styles

11

Kwok, A. D., and Douglas H. Norrie. "A Development System for Intelligent Agent Manufacturing Software." Integrated Manufacturing Systems 5, no. 4/5 (December 1994): 64–76. http://dx.doi.org/10.1108/09576069410069558.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Yue-Shan Chang, Chih-Tien Fan, and Yu Sheng Wu. "Agent-Based Intelligent Software Exploits Near-Field Communication." IT Professional 13, no. 2 (March 2011): 30–36. http://dx.doi.org/10.1109/mitp.2011.18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Farzaneh, Mandana, Iman Raeesi Vanani, and Babak Sohrabi. "Utilization of Intelligent Software Agent Features for Improving E-Learning Efforts." International Journal of Virtual and Personal Learning Environments 3, no. 1 (January 2012): 55–68. http://dx.doi.org/10.4018/ijvple.2012010104.

Full text

Abstract:

E-learning is one of the most important learning approaches within which intelligent software agents can be efficiently used so as to automate and facilitate the process of learning. The aim of this paper is to illustrate a comprehensive categorization of intelligent software agent features, which is valuable for being deployed in the virtual world of learning and training. The characteristics of agents make them worthwhile for being used in the implementation and improvement of e-learning information systems, especially the web-based or web-enabled e-learning mechanisms. An extensive exploration of agent-related international papers has been conducted so as to cover a wide range of internationally accepted features as well as the classification of agents and their correspondent references. These agent characteristics enable the online learning mechanisms to act on behalf of the user in electronic learning and to respond to specific requirements in a more efficient and effective manner than the traditional learning systems. The implementation of agents according to the most useful features helps teachers transfer the related knowledge easier, faster, and more directed towards the targeted audience of the e-learning system for a better and deeper learning quality.

APA, Harvard, Vancouver, ISO, and other styles

14

Wang, Jian Hua, Yan Yu, and Jun Jie Guo. "The Study on the Multiple Agent-Based Independent and Collaborative Intelligent Tutoring System Model." Advanced Materials Research 846-847 (November 2013): 1885–88. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1885.

Full text

Abstract:

Over the years, the traditional computer-assisted teaching can not meet the needs of university teaching, the traditional teaching system software, most of the existence of low intelligence, lack of teaching strategies and other shortcomings.Multi-AGENT technology and intelligent tutoring systems is the current research focus in computer intelligence education. Integrating multi-Agent features and multi-Agent application theories in ITS, this paper proposes a multiple Agent-based intelligent network tutoring system design model, detailedly analyzes the functions of each layer in the system, and presents system database category design and system model features.

APA, Harvard, Vancouver, ISO, and other styles

15

SUKONSCHIKOV, ALEXEY A., ANATOLY N. SHVETSOV, IGOR A. ANDRIANOV, and DMITRIY V. KOCHKIN. "PRINCIPLES OF BUILDING SELF-ORGANIZING INFORMATION AND TELECOMMUNICATION SYSTEMS." Cherepovets State University Bulletin 1, no. 100 (2021): 56–67. http://dx.doi.org/10.23859/1994-0637-2021-1-100-4.

Full text

Abstract:

The article discusses the basic foundations of the functioning and evolution of complex distributed information and telecommunication systems (ITS) in the neuro-fuzzy agent-based paradigm. The formalization principles for such systemsareproposed:goal structuring, agent orientation, hierarchical intellectual organization, modularity of intelligent agents, structural and functional flexibility of intelligent agents, single mathematical apparatus, self-development and system evolution.The concept of a distributed intelligent ITS as a geographically distributed multi-level hierarchical set of hardware and software controlled by agent-based systems is introduced.

APA, Harvard, Vancouver, ISO, and other styles

16

Wang, J. B., and H. F. Wang. "The System of Tensile Test Based on Multi-Agent Virtual Instrument." Key Engineering Materials 693 (May 2016): 1474–78. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1474.

Full text

Abstract:

This paper presents a system of tensile test based on multi-agent virtual instrument to reduce difficulty and improve intelligence of virtual instrument development. Each software unit of the virtual instrument was designed independent agent. The multi-agent system was generated by the interaction between the agents, and applied successfully to low-carbon steel tensile test experiments. The experimental results show that the response speed and sensitivity of virtual instrument have been improved. Other the development of virtual instrument becomes more simplified, and enhance the ability of the system reconfigurable and intelligent level.

APA, Harvard, Vancouver, ISO, and other styles

17

HAYZELDEN, ALEX L. G., and JOHN BIGHAM. "Agent technology in communications systems: an overview." Knowledge Engineering Review 14, no. 4 (December 1999): 341–75. http://dx.doi.org/10.1017/s0269888999003057.

Full text

Abstract:

Telecommunications infrastructures are a natural application domain for the distributed software agent paradigm. The authors clarify the potential application of software agent technology in legacy and future communications systems, and provide an overview of publicly available research on software agents used for communications management. The authors focus on the intelligent agent type of software agent, although the paper also reviews the reasons why mobile agents have made an impact in this domain. The author's objective is to describe some of the intricacies of using the software agent approach for the management of communications systems. The paper is in four main sections. The first section provides a brief introduction to software agent technology. The second section considers general problems of network management and the reasons why software agents may provide a suitable solution. The third section reviews some selected research on agents in a telecommunications management framework. The final section concludes the paper by discussing some of the problems encountered and some future directions for further research.

APA, Harvard, Vancouver, ISO, and other styles

18

Zachary, Wayne W., Jean-Christophe Le Mentec, and Serge Schremmer. "GINA: A Workbench for Constructing Interface Agents." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 17 (October 1996): 864. http://dx.doi.org/10.1177/154193129604001705.

Full text

Abstract:

The Generator of INterface Agents (GINA) is a software workbench that supports the development of interface agents. Viewing agent development as a cognitive engineering process, GINA supports development of agents from cognitive models of the human whose functions are being automated and/or supported by the agent. Built around the COGNET cognitive task analysis language, GINA provides software tools to support building and editing cognitive models, translating the models into executable forms that provide the reasoning kernel of an intelligent agent, building a software shell that allows this kernel to communicate with the targeted application environment, and testing and debugging the resulting agent.

APA, Harvard, Vancouver, ISO, and other styles

19

Gong, Yiwei, Sietse Overbeek, and Marijn Janssen. "Integrating Semantic Web and Software Agents." International Journal of Systems and Service-Oriented Engineering 2, no. 1 (January 2011): 60–76. http://dx.doi.org/10.4018/jssoe.2011010104.

Full text

Abstract:

Software agents and rules are both used for creating flexibility. Exchanging rules between Semantic Web and agents can ensure consistency in rules and support easy updating and changing of rules. The Rule Interchange Format (RIF) is a new W3C recommendation Semantic Web standard for exchanging rules among disparate systems. Yet, the contribution of RIF in rules exchange between Semantic Web and software agents is unclear. The BDI architectural style is regarded as the predominant approach for the implementation of intelligent agents. This paper proposes a development for integrating RIF and BDI agents to enhance agent reasoning capabilities. This approach consists of an integration architecture and equivalence principles for rule translation. The equivalence principles are demonstrated using examples. The results show that the approach allows the integration of RIF with BDI agent programming and realize the translation between the two systems.

APA, Harvard, Vancouver, ISO, and other styles

20

Grimaldo, Francisco, Miguel Lozano, Fernando Barber, and Guillermo Vigueras. "Simulating socially intelligent agents in semantic virtual environments." Knowledge Engineering Review 23, no. 4 (December 2008): 369–88. http://dx.doi.org/10.1017/s026988890800009x.

Full text

Abstract:

AbstractThe simulation of synthetic humans inhabiting virtual environments is a current research topic with a great number of behavioral problems to be tackled. Semantical virtual environments (SVEs) have recently been proposed not only to ease world modeling but also to enhance the agent–object and agent–agent interaction. Thus, we propose the use of ontologies to define the world’s knowledge base and to introduce semantic levels of detail that help the sensorization of complex scenes—containing lots of interactive objects. The object taxonomy also helps to create general and reusable operativity for autonomous characters—for example, liquids can be poured from containers such as bottles. On the other hand, we use the ontology to define social relations among agents within an artificial society. These relations must be taken into account in order to display socially acceptable decisions. Therefore, we have implemented a market-based social model that reaches coordination and sociability by means of task exchanges. This paper presents a multi-agent framework oriented to simulate socially intelligent characters in SVEs. The framework has been successfully tested in three-dimensional (3D) dynamic scenarios while simulating a virtual university bar, where groups of waiters and customers interact with both the objects in the scene and the other virtual agents, finally displaying complex social behaviors.

APA, Harvard, Vancouver, ISO, and other styles

21

Moise, Gabriela. "A Software System for Online Learning Applied in the Field of Computer Science." International Journal of Computers Communications & Control 2, no. 1 (January 1, 2007): 84. http://dx.doi.org/10.15837/ijccc.2007.1.2340.

Full text

Abstract:

<p>The computer-assisted learning is a very modern study area, which can be applied to the learning process. The main objective of this paper is to present a software system for online learning based on the intelligent software agents technologies. The main ideas on which this paper is built are: to any person is associated a learning profile (the idea is based on the existence of multiple intelligences, defined by Gardner [3]); the pedagogical resources can be shaped through educational semantic networks or through conceptual maps; a flexible software system in computer assisted learning must be based on the intelligent agents’ technology. The system dedicated to computer-assisted learning must be adapted to the learning profile of each student.<br />The author presents a flexible online teaching software system, which learns to teach according to the learning profile of each student (the author defines this system in the PhD thesis and includes: intelligent agent structures, reward learning algorithms, algorithms to generate plans for an agent).<br />The application includes two agents: the supervising agent and the pedagogical agent, which determines the optimal pedagogical resources for teaching the course. The application has been designed in Microsoft Visual Studio 6.0 and uses Microsoft Agent Technology, which allows vocal recognition. Also, the Protéjé 3.0 software has been used, software that allows building ontology for computer assisted learning. The system has been experimented on the Graph Theory Course, taught at postuniversitary computer science courses, the results proving the necessity of defining a strategy for selecting the pedagogical resources presented to the students according to their learning profile.</p>

APA, Harvard, Vancouver, ISO, and other styles

22

Lavendelis, Egons, and Janis Grundspenkis. "Design of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 48–59. http://dx.doi.org/10.2478/v10143-009-0004-z.

Full text

Abstract:

Design of Multi-Agent Based Intelligent Tutoring SystemsResearch of two fields, namely agent oriented software engineering and intelligent tutoring systems, have to be taken into consideration, during the design of multi-agent based intelligent tutoring systems (ITS). Thus there is a need for specific approaches for agent based ITS design, which take into consideration main ideas from both fields. In this paper we propose a top down design approach for multi-agent based ITSs. The proposed design approach consists of the two main stages: external design and internal design of agents. During the external design phase the behaviour of agents and interactions among them are designed. The following steps are done: task modelling and task allocation to agents, use case map creation, agent interaction design, ontology creation and holon design. During the external design phase agents and holons are defined according to the holonic multi-agent architecture for ITS development. During the internal design stage the internal structure of agents is specified. The internal structure of each agent is represented in the specific diagram, called internal view of the agent, consisting of agent's actions and interactions among them, rules for incoming message and perception processing, incoming and outgoing messages, and beliefs of the agent. The proposed approach is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The approach is developed using the same concepts as JADE agent platform and is suitable for agent code generation from the design diagrams.

APA, Harvard, Vancouver, ISO, and other styles

23

Dam, Hoa Khanh, and Aditya Ghose. "Supporting change impact analysis for intelligent agent systems." Science of Computer Programming 78, no. 9 (September 2013): 1728–50. http://dx.doi.org/10.1016/j.scico.2013.04.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Sklar, Elizabeth, and Debbie Richards. "Agent-based systems for human learners." Knowledge Engineering Review 25, no. 2 (June 2010): 111–35. http://dx.doi.org/10.1017/s0269888910000044.

Full text

Abstract:

AbstractApplying intelligent agent technologies to support human learning activities has been the subject of recent work that reaches across computer science and education disciplines. This article discusses agent-based approaches that have been designed to address a range of pedagogical and/or curricular tasks. Three types of agents are identified in the literature:pedagogical agents,peer-learning agents, anddemonstrating agents. Features of each type are considered, as well as the systems in which these agents are incorporated, examining common and divergent goals, system and agent architectures, and evaluation methodologies. Open issues are highlighted, and future directions for this burgeoning interdisciplinary field are suggested.

APA, Harvard, Vancouver, ISO, and other styles

25

MIAO, CHUNYAN, ANGELA GOH, YUAN MIAO, and ZHONGHUA YANG. "A DYNAMIC INFERENCE MODEL FOR INTELLIGENT AGENTS." International Journal of Software Engineering and Knowledge Engineering 11, no. 05 (October 2001): 509–28. http://dx.doi.org/10.1142/s0218194001000669.

Full text

Abstract:

This paper proposes an Agent Inference Model (AIM) for constructing intelligent software agents. AIM has the ability of representing various types of fuzzy concepts, temporal concepts, and dynamic causal relationships between concepts. It also has the ability of handling feedback and analyzing inference patterns over different causal impact models. Based on AIM, a new type of intelligent agent, Dynamic Inference Agent (DIA) is presented. A dynamic inference agent has the ability to model, infer and make decisions on behalf of human beings. It uses numeric representations and computation instead of symbolic representation and logic deduction to represent knowledge and to carry out the inferences respectively. Thus the construction of DIA is simplified and the implementation code is compact. The application of DIA to various areas, especially for electronic commerce over the Internet is exemplified.

APA, Harvard, Vancouver, ISO, and other styles

26

Jain, Shikha, and Krishna Asawa. "EMIA: Emotion Model for Intelligent Agent." Journal of Intelligent Systems 24, no. 4 (December 1, 2015): 449–65. http://dx.doi.org/10.1515/jisys-2014-0071.

Full text

Abstract:

AbstractEmotions play a significant role in human cognitive processes such as attention, motivation, learning, memory, and decision making. Many researchers have worked in the field of incorporating emotions in a cognitive agent. However, each model has its own merits and demerits. Moreover, most studies on emotion focus on steady-state emotions than emotion switching. Thus, in this article, a domain-independent computational model of emotions for intelligent agent is proposed that have modules for emotion elicitation, emotion regulation, and emotion transition. The model is built on some well-known psychological theories such as appraisal theories of emotions, emotion regulation theory, and multistore human memory model. The design of the model is using the concept of fuzzy logic to handle uncertain and subjective information. The main focus is on primary emotions as suggested by Ekman; however, simultaneous elicitation of multiple emotions (called secondary emotion) is also supported by the model.

APA, Harvard, Vancouver, ISO, and other styles

27

Beregi, Richárd, Gianfranco Pedone, and Davy Preuveneers. "Towards trustworthy Cyber-physical Production Systems: A dynamic agent accountability approach." Journal of Ambient Intelligence and Smart Environments 13, no. 2 (March 26, 2021): 157–80. http://dx.doi.org/10.3233/ais-210593.

Full text

Abstract:

Smart manufacturing is a challenging trend being fostered by the Industry 4.0 paradigm. In this scenario Multi-Agent Systems (MAS) are particularly elected for modeling such types of intelligent, decentralised processes, thanks to their autonomy in pursuing collective and cooperative goals. From a human perspective, however, increasing the confidence in trustworthiness of MAS based Cyber-physical Production Systems (CPPS) remains a significant challenge. Manufacturing services must comply with strong requirements in terms of reliability, robustness and latency, and solution providers are expected to ensure that agents will operate within certain boundaries of the production, and mitigate unattended behaviours during the execution of manufacturing activities. To address this concern, a Manufacturing Agent Accountability Framework is proposed, a dynamic authorization framework that defines and enforces boundaries in which agents are freely permitted to exploit their intelligence to reach individual and collective objectives. The expected behaviour of agents is to adhere to CPPS workflows which implicitly define acceptable regions of behaviours and production feasibility. Core contributions of the proposed framework are: a manufacturing accountability model, the representation of the Leaf Diagrams for the governance of agent behavioural autonomy, and an ontology of declarative policies for the identification and avoidance of ill-intentioned behaviours in the execution of CPPS services. We outline the application of this enhanced trustworthiness framework to an agent-based manufacturing use-case for the production of a variety of hand tools.

APA, Harvard, Vancouver, ISO, and other styles

28

Venkataramani Johar, Hardeep. "SoftCord: an intelligent agent for coordination in software development projects." Decision Support Systems 20, no. 1 (May 1997): 65–81. http://dx.doi.org/10.1016/s0167-9236(96)00075-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Dibley, M. J., H. Li, J. C. Miles, and Y. Rezgui. "Towards intelligent agent based software for building related decision support." Advanced Engineering Informatics 25, no. 2 (April 2011): 311–29. http://dx.doi.org/10.1016/j.aei.2010.11.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Jo, Chang-Hyun. "A New Way of Discovery of Belief, Desire and Intention in the BDI Agent-Based Software Modeling." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 1 (January 20, 2004): 2–6. http://dx.doi.org/10.20965/jaciii.2004.p0002.

Full text

Abstract:

Agent-based programming has been emerged as a next generation programming paradigm. There are many different definitions and usage for agents. In our research, however, an agent is defined as an autonomous, concurrent and intelligent object. Furthermore, our agents are modeled by the belief-desire-intention (BDI) concept. An agent is embodied when it is assigned to its BDI. We call it a BDI agent. A software process defines a set of activities and associated artifacts that lead to the construction of a software system. We have developed a software process based on the BDI agent model that is useful for a systematic development of BDI agent-based software construction. We named our process as the BDI Agent-based Software Process (BDI ASP). This paper presents a new way of modeling technique in our BDI ASP. This work will convince us that the BDI ASP is very sound and practicable in agent software construction. We will provide a few examples as a case study with brief explanations of activities and artifacts in our process.

APA, Harvard, Vancouver, ISO, and other styles

31

Rugelj, Joze. "Intelligent agent for knowledge tree administration." ACM SIGCSE Bulletin 31, no. 3 (September 1999): 197. http://dx.doi.org/10.1145/384267.305943.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Dhanapal, R. "An intelligent information retrieval agent." Knowledge-Based Systems 21, no. 6 (August 2008): 466–70. http://dx.doi.org/10.1016/j.knosys.2008.03.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Sultan, Khalid, Jamal Bentahar, and Mohamed El-Menshawy. "Model checking probabilistic social commitments for intelligent agent communication." Applied Soft Computing 22 (September 2014): 397–409. http://dx.doi.org/10.1016/j.asoc.2014.04.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Singh, Aarti, Anu Sharma, and Nilanjan Dey. "Semantics and Agents Oriented Web Personalization." International Journal of Service Science, Management, Engineering, and Technology 6, no. 2 (April 2015): 35–49. http://dx.doi.org/10.4018/ijssmet.2015040103.

Full text

Abstract:

Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with users.

APA, Harvard, Vancouver, ISO, and other styles

35

Ahmed, Hussein Moselhy Sayed. "A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)." International Journal of Marketing and Sales Education 1, no. 1 (January 2018): 20–30. http://dx.doi.org/10.4018/ijmse.2018010102.

Full text

Abstract:

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

APA, Harvard, Vancouver, ISO, and other styles

36

Bosse, Tibor, Dung N. Lam, and K. Suzanne Barber. "Tools for analyzing intelligent agent systems." Web Intelligence and Agent Systems: An International Journal 6, no. 4 (2008): 355–71. http://dx.doi.org/10.3233/wia-2008-0145.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Kwok, A., and D. Norrie. "Intelligent agent systems for manufacturing applications." Journal of Intelligent Manufacturing 4, no. 4 (August 1993): 285–93. http://dx.doi.org/10.1007/bf00124141.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Agate, Vincenzo, Alessandra De Paola, Giuseppe Lo Re, and Marco Morana. "DRESS: A Distributed RMS Evaluation Simulation Software." International Journal of Intelligent Information Technologies 16, no. 3 (July 2020): 1–18. http://dx.doi.org/10.4018/ijiit.2020070101.

Full text

Abstract:

Distributed environments consist of a huge number of entities that cooperate to achieve complex goals. When interactions occur between unknown parties, intelligent techniques for estimating agent reputations are required. Reputation management systems (RMS's) allow agents to perform such estimation in a cooperative way. In particular, distributed RMS's exploit feedbacks provided after each interaction and allow prediction of future behaviors of agents. Such systems, in contrast to centralized RMSs, are sensitive to fake information injected by malicious users; thus, predicting the performance of a distributed RMS is a very challenging task. Although many existing works have addressed some challenges concerning the design and assessment of specific RMS's, there are no simulation environments that adopt a general approach that can be applied to different application scenarios. To overcome this lack, we present DRESS, an agent-based simulation framework that aims to support researchers in the evaluation of distributed RMSs under different security attacks.

APA, Harvard, Vancouver, ISO, and other styles

39

BODANESE, ELIANE L., and LAURIE G. CUTHBERT. "APPLYING INTELLIGENT SOFTWARE AGENTS IN A DISTRIBUTED CHANNEL ALLOCATION SCHEME FOR CELLULAR NETWORKS." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 08 (December 2002): 1021–39. http://dx.doi.org/10.1142/s0218001402002131.

Full text

Abstract:

As the demand for mobile services has increased, the need for an efficient allocation of channels is essential to ensure good performance, given the limited spectrum available. Techniques for increasing flexibility in radio resource acquisition are needed to handle the heterogeneity of services and bit rates to be supported in the forthcoming generations of mobile communications. To improve the performance and efficiency of the channel allocation, we propose the use of a particular agent architecture that allows base stations to be more flexible and intelligent, including planning to attempt to balance the load in advance of reactive requests. The simulation results prove that the use of intelligent agents controlling the allocation of channels is feasible and the agent negotiation is an important feature of the system in order to improve perceived quality of service and to improve the load balancing of the traffic.

APA, Harvard, Vancouver, ISO, and other styles

40

Sankaranarayanan, Suresh, and Subramaniam Ganesan. "Applications of Intelligent Agents in Mobile Commerce." International Journal of Agent Technologies and Systems 6, no. 4 (October 2014): 35–71. http://dx.doi.org/10.4018/ijats.2014100103.

Full text

Abstract:

Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. We believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.

APA, Harvard, Vancouver, ISO, and other styles

41

H. De La Iglesia, Daniel, Gabriel Villarrubia González, André Sales Mendes, Diego Jiménez-Bravo, and Alberto L. Barriuso. "Architecture to Embed Software Agents in Resource Constrained Internet of Things Devices." Sensors 19, no. 1 (December 29, 2018): 100. http://dx.doi.org/10.3390/s19010100.

Full text

Abstract:

Sensing systems in combination with treatment tools and intelligent information management are the basis on which the cities and urban environments of the future will be built. Progress in the research and development of these new and intelligent scenarios is essential to achieve the objectives of efficiency, integration, sustainability, and quality of life for people who live in cities. To achieve these objectives, it is essential to investigate the development of cheaper, more accurate, and smarter hardware devices, which will form the basis of the intelligent environments of the future. This article focuses on an approach based on intelligent multi-agent systems that are integrated into basic hardware devices for the Internet of Things (IoT). A multi-agent architecture is proposed for the fast, efficient, and intelligent management of the generated data. A layer of services adapted to the needs of the new intelligent environments is built on this architecture. With the aim of validating this architecture, a case study based on electric vehicles of the e-bike type is proposed.

APA, Harvard, Vancouver, ISO, and other styles

42

Eduardo, Luis, and Castillo Hern. "On distributed artificial intelligence." Knowledge Engineering Review 3, no. 1 (March 1988): 21–57. http://dx.doi.org/10.1017/s0269888900004367.

Full text

Abstract:

AbstractDistributed Artificial Intelligence has been loosely defined in terms of computation by distributed, intelligent agents. Although a variety of projects employing widely ranging methodologies have been reported, work in the field has matured enough to reveal some consensus about its main characteristics and principles. A number of prominent projects are described in detail, and two general frameworks, theSystem conceptual modeland theagent conceptual model, are used to compare the different approaches. The paper concludes by reviewing approaches to formalizing some of the more critical capabilities required by multi-agent interaction.

APA, Harvard, Vancouver, ISO, and other styles

43

Lavendelis, Egons, and Janis Grundspenkis. "Requirements analysis of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 37–47. http://dx.doi.org/10.2478/v10143-009-0003-0.

Full text

Abstract:

Requirements analysis of Multi-Agent Based Intelligent Tutoring SystemsThe agent oriented software engineering research proposes general assumptions for agent oriented software development, while intelligent tutoring system (ITS) research proposes specific ITS architecture and other specific knowledge for ITS development. Both of these views should be taken into consideration while developing multi-agent based ITSs. Thus there is a need for specific approaches for all phases of agent based ITS development which take into consideration main ideas from both agent oriented software engineering and ITS research. In this paper we propose a requirements analysis approach for multi-agent based ITSs. A case study of a simple ITS is included, too. Requirements analysis in the proposed approach consist of two main steps, namely goal modelling and use case modelling. During the goal modelling the main goals of the system are identified and a goal hierarchy for the system is created. During the use case modelling use cases needed to achieve each lower level goal and their descriptions are created. The proposed approach of the requirements analysis is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The developed use case model (especially use case scenarios) is used during the agent interaction design and task definition. Goal hierarchy during the design phase is mainly used for checking, if the results of design achieve all system's goals.

APA, Harvard, Vancouver, ISO, and other styles

44

Smeureanu, Ion, Gheorghe Ruxanda, Andreea Diosteanu, Camelia Delcea, and Liviu Adrian Cotfas. "INTELLIGENT AGENTS AND RISK BASED MODEL FOR SUPPLY CHAIN MANAGEMENT." Technological and Economic Development of Economy 18, no. 3 (October 1, 2012): 452–69. http://dx.doi.org/10.3846/20294913.2012.702696.

Full text

Abstract:

This paper presents a software agent based framework's architecture for boosting performance in supply chain management applications. The framework is based on agent interaction and semantic web service composition. The purpose of such a platform is to develop flexible business applications for SCM transactions modeling, in collaborative and distributed economic systems. The interaction between agents is limited by a cybernetic model that takes into account several constraints one of the main being bankruptcy risk potential of the peer partner company.

APA, Harvard, Vancouver, ISO, and other styles

45

Fougères, Alain-Jérôme, and Egon Ostrosi. "Intelligent agents for feature modelling in computer aided design." Journal of Computational Design and Engineering 5, no. 1 (November 6, 2017): 19–40. http://dx.doi.org/10.1016/j.jcde.2017.11.001.

Full text

Abstract:

Abstract CAD modelling can be referred to as the process of generating an integrated multiple view model as a representation of multiple views of engineering design. In many situations, a change in the model of one view may conflict with the models of other views. In such situations, the model of some views needs to be adapted in order to make all models consistent. Thus, CAD models should be capable of adapting themselves to new situations. Recently, agent based technologies have been considered in order to increase both knowledge level and intelligence of real and virtual objects. The contribution of this paper consists in introducing the intelligent agents in intelligent CAD modelling. The proposed agents are elementary geometrical and topological objects. They incorporate the functions of observation, decision and action, and possess their own knowledge. Agents have the capacity of communication and inference based on the feature grammars. They are modelled as bio-dynamic objects that enjoy the properties of fusion, division and multiplication. Being aware of the context, the proposed agents interact to form potential regional transitory communities, called regions. Being aware of their belonging in a region, agents interact by generating virtual links (virtual extensions). These virtual links produce: (a) fusion of agents, (b) division of agents and c) multiplication of agents. The emerged agents interact with the other agents in a region to recognize each other and to form specific sub-communities, called intelligent features. From a CAD software development point of view, this paper advocates the idea of a new phase of CAD system development based on the agent-oriented programming (AOP) paradigm. Highlights This paper proposes the agent paradigm for intelligent CAD modelling. Second section presents the state of art. In the third section, using the linguistic hypothesis of product design, a feature modelling formalism is presented. Fourth section presents a formal model for agent modelling. In the fifth section, agents for feature generation and modelling are formalised and modelled. The sixth section presents the application of the method. Finally, in the last section, the conclusion and future developments are proposed.

APA, Harvard, Vancouver, ISO, and other styles

46

Lv, Hong Wei. "Research on Intelligent ERP System Based on Multi-Agent." Applied Mechanics and Materials 644-650 (September 2014): 6157–60. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.6157.

Full text

Abstract:

The realization of intelligent ERP system is studied through Agent technology and Jadex software development framework. The concept of intelligent ERP system is proposed in this paper based on Multi-Agent technology. After conducting research on Multi-Agent ERP system model frame, the Multi-Agent ERP model is designed based BDI model. Multi-Agent ERP system model based on Multi-Agent system framework and layers are also given. Finally, take storage management system as an example, storage control Agent is designed and realized on Jadex.

APA, Harvard, Vancouver, ISO, and other styles

47

Khan, Emdad, and Mohammed Alawairdhi. "Intelligent Agent Based Mapping of Software Requirement Specification to Design Model." Journal of Software Engineering and Applications 06, no. 12 (2013): 630–37. http://dx.doi.org/10.4236/jsea.2013.612075.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Blamah, Nachamada Vachaku, Aderemi Adewumi Oluyinka, Gregory Wajiga, and Yusuf Benson Baha. "MAPSOFT: A Multi-Agent based Particle Swarm Optimization Framework for Travelling Salesman Problem." Journal of Intelligent Systems 30, no. 1 (December 31, 2020): 413–28. http://dx.doi.org/10.1515/jisys-2020-0042.

Full text

Abstract:

Abstract This paper proposes a Multi-Agent based Particle Swarm Optimization (PSO) Framework for the Traveling salesman problem (MAPSOFT). The framework is a deployment of the recently proposed intelligent multi-agent based PSO model by the authors. MAPSOFT is made up of groups of agents that interact with one another in a coordinated search effort within their environment and the solution space. A discrete version of the original multi-agent model is presented and applied to the Travelling Salesman Problem. Based on the simulation results obtained, it was observed that agents retrospectively decide on their next moves based on consistent better fitness values obtained from present and prospective neighborhoods, and by reflecting back to previous behaviors and sticking to historically better results. These overall attributes help enhance the conventional PSO by providing more intelligence and autonomy within the swarm and thus contributed to the emergence of good results for the studied problem.

APA, Harvard, Vancouver, ISO, and other styles

49

Fortino, Giancarlo, and Antonio Guerrieri. "Decentralized management of building indoors through embedded software agents." Computer Science and Information Systems 9, no. 3 (2012): 1331–59. http://dx.doi.org/10.2298/csis120101030f.

Full text

Abstract:

In order to support personalized people comfort and building energy efficiency as well as safety, emergency, and context-aware information exchange scenarios, next-generation buildings will be smart. In this paper we propose an agent-oriented decentralized and embedded architecture based on wireless sensor and actuator networks (WSANs) for enabling efficient and effective management of buildings. The main objective of the proposed architecture is to fully support distributed and coordinated sensing and actuation operations. The building management architecture is implemented at the WSAN side through MAPS (Mobile Agent Platform for Sun SPOTs), an agent-based framework for programming WSN applications based on the Sun SPOT sensor platform, and at the base station side through an OSGi-based application. The proposed agent-oriented architecture is demonstrated in a simple yet effective operating scenario related to monitoring workstation usage in computer laboratories/offices. The high modularity of the proposed architecture allows for easy adaptation of higher-level application-specific agents that can therefore exploit the architecture to implement intelligent building management policies.

APA, Harvard, Vancouver, ISO, and other styles

50

Phillips-Wren, Gloria E., and Guisseppi A. Forgionne. "Advanced Decision Making Support using Intelligent Agent Technology." Journal of Decision Systems 11, no. 2 (January 2002): 165–84. http://dx.doi.org/10.3166/jds.11.165-184.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Intelligent Software Agent'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles