Academic literature on the topic 'Agents'

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Journal articles on the topic "Agents"

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Islabão Franco, Márcia Häfele, Antônio Carlos Da Rocha Costa, and Helder Coelho. "EXCHANGE VALUES AND SOCIAL POWER SUPPORTING THE CHOICE OF PARTNERS." Revista Pueblos y fronteras digital 5, no. 9 (2010): 43. http://dx.doi.org/10.22201/cimsur.18704115e.2010.9.159.

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In this paper, we adopt Piaget’s theory of social exchanges, in which an interaction is an exchange of services between agents, such that agents assign subjective, qualitative values —called exchange values— to the actions and objects they exchange during interactions. The agents present characteristics related to social power during the interactions. In this paper, we show how these characteristics are considered in the agents’ reasoning. This paper also shows how these characteristics and the exchange values can influence the agents’ choice of future partners, in support of groupformation.&#
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Gómez-Sanz, Jorge, and Juan Pavón. "Methodologies for Developing Multi-Agent Systems." JUCS - Journal of Universal Computer Science 10, no. (4) (2004): 359–74. https://doi.org/10.3217/jucs-010-04-0359.

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As agent technology has matured with the deployment of a variety of applications, particularly in open and dynamic environments such as the web, several methodologies and tools have been proposed to support software engineers during the development process of such systems. This article takes an overall look at representative agent-oriented methodologies by considering how they support specific agent-related concepts. This serves to identify areas in which this technology has shown its potential to solve new problems, e.g., the ability to manage complexity with an organizational perspective, go
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Steinberg, Leigh. "Agents and Agency: a Sports Agent's View." Journal of Sport and Social Issues 16, no. 2 (1992): 113–15. http://dx.doi.org/10.1177/019372359201600205.

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Elijah and Muhammad Naveed Dilber. "Complete Analysis of Fault Tolerance Schemes in Mobile Agents for a Reliable Mobile Agent Computation." Bonfring International Journal of Industrial Engineering and Management Science 7, no. 1 (2017): 20–24. http://dx.doi.org/10.9756/bijiems.8322.

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Sengupta, Raja, and Renée Sieber. "Geospatial Agents, Agents Everywhere . . ." Transactions in GIS 11, no. 4 (2007): 483–506. http://dx.doi.org/10.1111/j.1467-9671.2007.01057.x.

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Wang, Na, Zhihai Rong, and Wen Yang. "Opinion dynamics of improved Hegselmann-Krause model with agent's stubbornness and stubborn agents." Europhysics Letters 143, no. 5 (2023): 52001. http://dx.doi.org/10.1209/0295-5075/acf39a.

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Abstract In this work, we improve the Hegselmann-Krause model (HK model) by combining the agent's stubbornness and the quantitative impact of stubborn agents on the evolution of other agents’ opinions. We divide stubborn agents into expert stubborn agents, environmentally stubborn agents and intrinsically stubborn agents based on the impact weight and agent's characteristics. We simulate the evolution of opinions of the improved HK model, and find that it is closer to reality. We also study the impact of the influence coefficient and the proportion of intrinsically stubborn agents on the stabi
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Eissa, A. M. F. "Amphoteric surface active agents." Grasas y Aceites 46, no. 4-5 (1995): 240–44. http://dx.doi.org/10.3989/gya.1995.v46.i4-5.931.

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Kumar Katta, Prashanth. "Composition of Bonding Agents." Indian Journal of Dental Education 13, no. 2 (2020): 75–77. http://dx.doi.org/10.21088/ijde.0974.6099.13220.5.

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Saini, Akash, and Pritee Gupta. "CHRONOTHERAPEUTIC AGENTS: AN OVERVIEW." INDIAN RESEARCH JOURNAL OF PHARMACY AND SCIENCE 4, no. 3 (2017): 1144–52. http://dx.doi.org/10.21276/irjps.2017.4.3.8.

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Simone, Joseph V. "Are We Single Agents, Double Agents, or Free Agents?" Oncology Times 26, no. 8 (2004): 3–4. http://dx.doi.org/10.1097/01.cot.0000291847.72455.35.

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Dissertations / Theses on the topic "Agents"

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Lau, Pik Lik Billy. "Interdependence between agents in multi agent systems." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/439.

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Interdependence relationships have defined the foundation of cooperation between agents but limited by existing protocols. As a consequence, the idle agents are not able to join and benefit through it. First, the inter-relationship has been studied and certified for the purpose of securing mutual gains. Next, the join coalition mechanism is proposed to help idle agents to join existing macroscopic and microscopic coalitions which are based on the goals compatibilities, budget and trust
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Dinu, Razvan. "Web Agents : towards online hybrid multi-agent systems." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.

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Multi-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have th
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Doskočilová, Veronika. "Využití agentů v business procesech." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124783.

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This work deals with the possibilities of using agents and multiagent systems in the areas of business process management and business process modeling. The aim of the theoretical part is to describe the theory of artificial agents, to assess the benefits of this approach and to describe current applications of MAS in BPM. In the theoretical part I also describe the issue of management and business process modeling and methodology MMABP. The aim of the analytical part is to summarize the possibilities of using MAS in BPM in the situations where business processes are already described and mode
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Harder, Malte. "Information driven self-organization of agents and agent collectives." Thesis, University of Hertfordshire, 2014. http://hdl.handle.net/2299/13907.

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From a visual standpoint it is often easy to point out whether a system is considered to be self-organizing or not, though a quantitative approach would be more helpful. Information theory, as introduced by Shannon, provides the right tools not only quantify self-organization, but also to investigate it in relation to the information processing performed by individual agents within a collective. This thesis sets out to introduce methods to quantify spatial self-organization in collective systems in the continuous domain as a means to investigate morphogenetic processes. In biology, morphogenes
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Vanzan, Alessio <1993&gt. "Mobile Agents Rendezvous in Networks Despite a Malicious Agent." Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/10604.

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The use of mobile agents, i.e., autonomous software entities , finds its application in many settings such as Network Maintenance, Electronic commerce and Intelligent search. Given a network, we have a set of mobile agents that moves from node to node in order to achieve a common task. Security is an important issue that can arise in such environment and that has been widely studied in literature. In particular, it is important to study the problem of having a host or an agent that hinders or harms the honest agents in their tasks. In this thesis we consider a scenario in which one of t
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d'Inverno, Mark. "Agents, agency and autonomy : a formal computational model." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.586863.

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In recent years, there has been an explosion of interest in agents and multi-agent systems in a variety of areas including artificial intelligence, and software engineering. Agent technology, however, is still relatively young, and there is much debate and discussion over many important concepts and the relevant terminology. In particular, in a great deal of agent research, agents themselves are defined in wildly different ways, if at all, and this makes it extremely difficult to be explicit about their nature and functionality. These problems have arisen in part due to the lack of a common st
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Nagi, Khaled [Verfasser]. "Transactional agents : towards a robust multi-agent system / K. Nagi." Berlin, 2001. http://d-nb.info/965521001/34.

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Tajer, Jean. "Detection of malicious hosts against agents in Mobile Agent networks." Thesis, University of Portsmouth, 2018. https://researchportal.port.ac.uk/portal/en/theses/detection-of-malicious-hosts-against-agents-in-mobile-agent-networks(beca3871-a989-4137-9a4d-13c88d8893d9).html.

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Over the last decade, networks have become increasingly advanced in terms of size, complexity and the level of heterogeneity, due to increase of number of users, devices and implementation of cloud among big enterprises and developing smart cities. As networks become more complicated, the existing client-server paradigm suffers from problems such as delay, jitter, bad quality of service, insufficient scalability, availability and flexibility. The appearance of mobile agents' technology is getting popular as means for an efficient way to access remote resources on computer networks. Mobile Agen
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Huerta, Jose Manuel. "Attitudes of county Extension agents toward agent specialization in Ohio /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846354481973.

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Huerta, Jose M. "Attitudes of county extension agents toward agent specialization in Ohio." Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1202155098.

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Books on the topic "Agents"

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Alonso, Eduardo, Daniel Kudenko, and Dimitar Kazakov, eds. Adaptive Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44826-8.

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Bui, The Duy, Tuong Vinh Ho, and Quang Thuy Ha, eds. Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6.

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Kuwabara, Kazuhiro, and Jaeho Lee, eds. Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45680-5.

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Barley, Michael Wayne, and Nik Kasabov, eds. Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b107183.

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Kotz, David, and Friedemann Mattern, eds. Agent Systems, Mobile Agents, and Applications. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/b75241.

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Lee, Jaeho, and Mike Barley, eds. Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b94219.

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Kinny, David, Jane Yung-jen Hsu, Guido Governatori, and Aditya K. Ghose, eds. Agents in Principle, Agents in Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25044-6.

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Law Reform Commission of Victoria. Inquiry agents, guard agents and watchmen. The Commisssion, 1989.

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Cockayne, William R. Mobile agents. Manning, 1998.

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Kudenko, Daniel, Dimitar Kazakov, and Eduardo Alonso, eds. Adaptive Agents and Multi-Agent Systems II. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b106974.

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Book chapters on the topic "Agents"

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Roberts, John. "Agency without Agents." In Belief and Organization. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137263100_9.

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Kinny, David. "The Agentis Agent InteractionModel." In Intelligent Agents V: Agents Theories, Architectures, and Languages. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49057-4_22.

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Hempelmann, G., and E. Seidelmayer. "Inotropic Agents/Vasoactive Agents." In Cardiac Anaesthesia: Problems and Innovations. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4265-3_7.

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Buchanan, W. J. "Agents." In The Complete Handbook of the Internet. Springer US, 2002. http://dx.doi.org/10.1007/978-0-306-48331-8_7.

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Pérez Castaño, Arnaldo. "Agents." In Practical Artificial Intelligence. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_3.

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Bernard, Georges. "Agents." In Principia Economica. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0935-9_1.

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Gonzalez-Perez, Cesar. "Agents." In Information Modelling for Archaeology and Anthropology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72652-6_23.

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Buchanan, W. J. "Agents." In The Handbook of Data Communications and Networks. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4020-7870-5_7.

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O’Brien, Lilian. "Agents." In Philosophy of Action. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137317483_9.

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Young, Timothy, Michael Ashcroft, Julian Cooke, et al. "Agents." In Voyage Charters, 5th ed. Informa Law from Routledge, 2022. http://dx.doi.org/10.4324/9781003046912-64.

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Conference papers on the topic "Agents"

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Parać, Roko, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, and Alessandra Russo. "Learning Robust Reward Machines from Noisy Labels." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/85.

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This paper presents PROB-IRM, an approach that learns robust reward machines (RMs) for reinforcement learning (RL) agents from noisy execution traces. The key aspect of RM-driven RL is the exploitation of a finite-state ma- chine that decomposes the agent’s task into different sub- tasks. PROB-IRM uses a state-of-the-art inductive logic pro- gramming framework robust to noisy examples to learn RMs from noisy traces using the Bayesian posterior degree of be- liefs, thus ensuring robustness against inconsistencies. Piv- otal for the results is the interleaving between RM learning and policy lear
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Buckingham, David, Matthias Scheutz, Tran Cao Son, and Francesco Fabiano. "Action Language mA* with Higher-Order Action Observability." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/20.

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This paper presents a novel semantics for the mA* epistemic action language that takes into consideration dynamic per-agent observability of events. Different from the original mA* semantics, the observability of events is defined locally at the level of possible worlds, giving a new method for compiling event models. Locally defined observability represents agents' uncertainty and false-beliefs about each others' ability to observe events. This allows for modeling second-order false-belief tasks where one agent does not know the truth about another agent's observations and resultant beliefs.
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Azaria, Amos. "Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/813.

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Autonomous agents that interact with humans are becoming more and more prominent. Currently, such agents usually take one of the following approaches for considering human behavior. Some methods assume either a fully cooperative or a zero-sum setting; these assumptions entail that the human's goals are either identical to that of the agent, or their opposite. In both cases, the agent is not required to explicitly model the human’s goals and account for humans' adaptation nature. Other methods first compose a model of human behavior based on observing human actions, and then optimize the agent’
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Dann, Michael, Yuan Yao, Brian Logan, and John Thangarajah. "Multi-Agent Intention Progression with Black-Box Agents." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/19.

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We propose a new approach to intention progression in multi-agent settings where other agents are effectively black boxes. That is, while their goals are known, the precise programs used to achieve these goals are not known. In our approach, agents use an abstraction of their own program called a partially-ordered goal-plan tree (pGPT) to schedule their intentions and predict the actions of other agents. We show how a pGPT can be derived from the program of a BDI agent, and present an approach based on Monte Carlo Tree Search (MCTS) for scheduling an agent's intentions using pGPTs. We evaluate
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Labidi, Sofiane, Bernardo W. Maia Jr., and Sérgio G. Martins. "Modelo de Negociação do Ambiente ICS." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2007. https://doi.org/10.5753/wesaac.2007.33038.

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Este artigo descreve a modelagem da negociação entre agentes inteligentes no ambiente ICS (Intelligent Commerce System). Usou-se a metodologia MESSAGE (Methodology for Engineering Systems of Software Agents) na análise e contextualização do modelo de negociação dentro do ambiente e as extensões da aUML (Agent Unified Modeling Language) nos diagramas para representar múltiplos agentes. O modelo descreve a negociação entre agentes Negociantes com o suporte de um agente Mediador. Uma inovação do modelo é o uso de um repositório externo de protocolos de negociação (regras), que os agentes podem co
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Barber, K. S., R. M. McKay, C. E. Martin, et al. "Sensible Agents in Supply Chain Management: An Example Highlighting Procurement and Production Decisions." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9078.

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Abstract Agent-based technologies can be applied to many aspects of supply chain management. The need for responsive, flexible agents is pervasive in this environment due to its complex, dynamic nature. Two critical aspects of agent capabilities are the ability to (1) classify agent behaviors according to autonomy level and (2) adapt problem-solving roles to various problem-solving situations during system operation. Sensible Agents, capable of Dynamic Adaptive Autonomy, have been developed to address these issues. A Sensible Agent’s “autonomy level” constitutes a description of the agent’s pr
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Garcia, Alessandro F., Viviane T. da Silva, Carlos J. P. de Lucena, and Ruy L. Milidiú. "An Aspect-Based Approach for Developing Multi-Agent Object-Oriented Systems." In Simpósio Brasileiro de Engenharia de Software. Sociedade Brasileira de Computação, 2001. http://dx.doi.org/10.5753/sbes.2001.23988.

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Agent technology has been revisited as a complementary approach to the object paradigm in order to design and implement complex distributed software. Objects and agents have many similarities, but agents are also driven by beliefs, goals, capabilities, plans, and a number of agency properties such as autonomy, adaptation, interaction, learning and mobility. Moreover, cooperating software agents must incorporate different collaborative capabilities in order to work together in heterogeneous contexts. In practice, a complex application is composed of objects and multiple types of agents, each of
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Hegde, Aditya, Vibhav Agarwal, and Shrisha Rao. "Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/24.

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Modelling ethics is critical to understanding and analysing social phenomena. However, prior literature either incorporates ethics into agent strategies or uses it for evaluation of agent behaviour. This work proposes a framework that models both, ethical decision making as well as evaluation using virtue ethics and utilitarianism. In an iteration, agents can use either the classical Continuous Prisoner's Dilemma or a new type of interaction called moral interaction, where agents donate or steal from other agents. We introduce moral interactions to model ethical decision making. We also propos
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Alooeff, Eugene, and Dzmitry Adzinets. "Multi-agent system for intelligent scheduling." In 38th ECMS International Conference on Modelling and Simulation. ECMS, 2024. http://dx.doi.org/10.7148/2024-0507.

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This work is dedicated to the development of a multi-agent system for intelligent scheduling: to simulate, to analyze and to optimize used parameters to achieve the best performance in terms of increasing the speed of Technician agents (they provide a field service), reducing transport and time costs for their movement to Service Appointment agents (they are waiting for the Technician agent's active interaction) and Dispatcher agents (they analyze and distribute the relations between another agents. Nowadays the most of the current scheduling models on the market are centralized. This paper ex
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Palmieri, Francesco, Krishna Pattipati, Giovanni Di Gennaro, Amedeo Buonanno, and Martina Merola. "Multiple Agents Interacting via Probability Flows on Factor Graphs." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003761.

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Expert team decision-making demonstrates that effective teams have shared goals, shared mental models to coordinate with minimal communication, establish trust through cross-training, and match task structures through planning. The key questions: Do best practices of human teams translate to hybrid human-AI agent teams, or autonomous agents alone? Is there a mathematical framework for studying shared goals and mental models? We propose factor graphs for studying multi-agent interaction and agile cooperative planning. One promising avenue for modeling interacting agents in real environments is
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Reports on the topic "Agents"

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Cohen, Philip R. Robust Agent-Based Systems Incorporating Teams of Communicating Agents. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada421753.

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Chavez, Deborah J., and Joanne F. Tynon. Forest Service special agents, assistant special agents in charge, senior special agents, and supervisory special agents report: nationwide study. U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2007. http://dx.doi.org/10.2737/psw-rp-255.

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Espinosa, Francisco, and Debraj Ray. Noisy Agents. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24627.

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Wiederhold, Gio, Rudi Studer, Mark Musen, Stefan Decker, and Steffen Staab. Onto-Agents-Enabling Intelligent Agents on the Web. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435112.

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Taylor, C., and C. Wilkerson. Surface polymerization agents. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/442223.

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Azoulay, Pierre. Agents of Embeddedness. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w10142.

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Harris, J. Milton. Nucleophilic Decontamination Agents. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210637.

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Wright, Robert, Jeffrey Hudack, Nathaniel Gemelli, Steven Loscalzo, and Tsu Kong Lue. Agents Technology Research. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada516462.

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Rus, Daniela. Mobile Information Agents. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387701.

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Childress, Terry A., and Penny L. French. Animal Capture Agents. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada218503.

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