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Relevant bibliographies by topics / Agent problem

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Academic literature on the topic 'Agent problem'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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Journal articles on the topic "Agent problem"

1

Šindelář, Jiří, and Petr Budinský. "Agent-Principal Problem in Financial Distribution." Politická ekonomie 66, no. 4 (2018): 491–507. http://dx.doi.org/10.18267/j.polek.1208.

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Dubenko, Yu V. "ANALYTICAL REVIEW OF MULTI-AGENT REINFORCEMENT LEARNING PROBLEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 192 (June 2020): 48–56. http://dx.doi.org/10.14489/vkit.2020.06.pp.048-056.

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This paper is devoted to the problem of collective artificial intelligence in solving problems by intelligent agents in external environments. The environments may be: fully or partially observable, deterministic or stochastic, static or dynamic, discrete or continuous. The paper identifies problems of collective interaction of intelligent agents when they solve a class of tasks, which need to coordinate actions of agent group, e. g. task of exploring the territory of a complex infrastructure facility. It is revealed that the problem of reinforcement training in multi-agent systems is poorly p

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Dubenko, Yu V. "ANALYTICAL REVIEW OF MULTI-AGENT REINFORCEMENT LEARNING PROBLEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 192 (June 2020): 48–56. http://dx.doi.org/10.14489/vkit.2020.06.pp.048-056.

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This paper is devoted to the problem of collective artificial intelligence in solving problems by intelligent agents in external environments. The environments may be: fully or partially observable, deterministic or stochastic, static or dynamic, discrete or continuous. The paper identifies problems of collective interaction of intelligent agents when they solve a class of tasks, which need to coordinate actions of agent group, e. g. task of exploring the territory of a complex infrastructure facility. It is revealed that the problem of reinforcement training in multi-agent systems is poorly p

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NAKAYAMA, SHOICHIRO. "A CAFÉ CHOICE PROBLEM AS AN EXTENDED ARTHUR'S EL FAROL PROBLEM." Advances in Complex Systems 06, no. 03 (2003): 393–404. http://dx.doi.org/10.1142/s0219525903000967.

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In this study, a café choice problem, which is an extension of Arthur's El Farol problem, is formulated, and is examined by an agent-based simulation. In the café choice problem, N agents predict a café's "congestion," and determine which café to visit. The N agents prefer less congested cafés because they are more relaxing. The agent is assumed to know the state of congestion of only the café he visits, and he learns to predict the café's congestion. The simulation results can be summarized as follows: (i) the agent is not necessarily acquiring the correct cognition for the café's congestion,

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Lipovac, Milan, and Nevena Stanković. "Wendt's theoretical contribution to security studies: The agent-structure problem." ЖУРНАЛ ЗА БЕЗБЈЕДНОСТ И КРИМИНАЛИСТИКУ 1, no. 2 (2019): 11–23. http://dx.doi.org/10.5937/zurbezkrim1902011l.

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Walczak, Steven. "Society of Agents." International Journal of Intelligent Information Technologies 14, no. 4 (2018): 1–23. http://dx.doi.org/10.4018/ijiit.2018100101.

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The development of multiple agent systems faces many challenges, including agent coordination and collaboration on tasks. Minsky's The Society of Mind provides a conceptual view for addressing these multi-agent system problems. A new classification ontology is introduced for comparing multi-agent systems. Next, a new framework called the Society of Agents is developed from Minsky's conceptual foundation. A Society of Agents framework-based problem-solving and a Game Society is developed and applied to the domain of single player logic puzzles and two player games. The Game Society solved 100%

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Petcu, A., B. Faltings, and D. C. Parkes. "M-DPOP: Faithful Distributed Implementation of Efficient Social Choice Problems." Journal of Artificial Intelligence Research 32 (July 31, 2008): 705–55. http://dx.doi.org/10.1613/jair.2500.

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In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agents, where each agent has private information about its utility function. In this paper we model the social choice problem as a distributed constraint optimization problem (DCOP), in which each agent can communicate with other agents that share an interest in one or more variables. Whereas existing DCOP algorithms can be easily manipulated by an agent, either by misreporting private information or deviating from the alg

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LIU, JIMING, XIAOLONG JIN, and JING HAN. "DISTRIBUTED PROBLEM SOLVING WITHOUT COMMUNICATION — AN EXAMINATION OF COMPUTATIONALLY HARD SATISFIABILITY PROBLEMS." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 08 (2002): 1041–64. http://dx.doi.org/10.1142/s0218001402002143.

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In this paper, we extend and modify the ERA approach proposed in Ref. 13 to solve Propositional Satisfiability Problems (SATs). The new ERA approach involves a multiagent system where each agent only senses its local environment and applies some self-organizing rules for governing its movements. The environment, which is a two-dimensional cellular environment, records and updates the local values that are computed and affected according to the movements of individual agents. In solving a SAT with the ERA approach, we first divide variables into several groups, and represent each variable group

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Krinsky, I., and A. Mehrez. "Principal-agent maintenance problem." Naval Research Logistics 36, no. 6 (1989): 817–28. http://dx.doi.org/10.1002/1520-6750(198912)36:6<817::aid-nav3220360607>3.0.co;2-c.

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Moizumi, Katsuhiro, and George Cybenko. "The Traveling Agent Problem." Mathematics of Control, Signals, and Systems 14, no. 3 (2001): 213–32. http://dx.doi.org/10.1007/pl00009883.

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Dissertations / Theses on the topic "Agent problem"

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Karabulut, Ozlem. "Multi Resource Agent Bottleneck Generalized Assignment Problem." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611790/index.pdf.

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In this thesis, we consider the Multi Resource Agent Bottleneck Generalized Assignment Problem. We aim to minimize the maximum load over all agents. We study the Linear Programming (LP) relaxation of the problem. We use the optimal LP relaxation solutions in our Branch and Bound algorithm while defining lower and upper bounds and branching schemes. We find that our Branch and Bound algorithm returns optimal solutions to the problems with up to 60 jobs when the number of agents is 5, and up to 30 jobs when the number of agents is 10, in less than 20 minutes. To find approximate solutions, we

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Zatlukal, Marek. "Moral Hazard in the principal-agent problem." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-125099.

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This paper will introduce the reader to the issues of moral hazard in a principal-agent setting, with the primary focus on the incentive pay models of moral hazard. Firstly, with an introduction and analysis of various microeconomic models designed to alleviate the problems of moral hazard, and secondly, with an analyses of these models in the context of a specific company, the aim of this thesis is to offer a comprehensive understanding of the specific problems caused by moral hazard in the principal-agent problem, as well as the mechanisms used to lessen such problems in the real business en

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Fox, Harold 1979. "Agent problem solving by inductive and deductive program synthesis." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45882.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 203-206).<br>How do people learn abstract concepts unsupervised? Psychologists broadly recognize two types of concepts, declarative knowledge and procedural knowledge: know-what and know-how. While much work has focused on unsupervised learning of declarative concepts as clusters of features, there is much less clarity on the representation for procedural concepts and the methods for learning them. In this thesis, I claim that programs a

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Buck, Fernando. "Cooperative Problem Solving With a Distributed Agent System - Swarm Intelligence." [S.l. : s.n.], 2005. http://nbn-resolving.de/urn:nbn:de:bsz:747-opus-299.

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Håård, Fredrik. "Multi-Agent Diplomacy : Tactical Planning using Cooperative Distributed Problem Solving." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5118.

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While there is a broad theoretic foundation for creating artificial intelligence based solutions for two-player games, such as Chess, the multi-player domain is not as well explored and artificial intelligence solutions for multi-player games is often flawed. This report is an attempt to apply a multi-agent approach to a multi-player game, and use distributed problem solving to create viable plans in an environment of huge search spaces and multiple adversaries. An automated player (bot) for the game Diplomacy was created using distributed methodologies, and tested against other existing bots.

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Gadre, Aditya Shrikant. "Learning Strategies in Multi-Agent Systems - Applications to the Herding Problem." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/36116.

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<p> "Multi-Agent systems" is a topic for a lot of research, especially research involving strategy, evolution and cooperation among various agents. Various learning algorithm schemes have been proposed such as reinforcement learning and evolutionary computing. </p><p> In this thesis two solutions to a multi-agent herding problem are presented. One solution is based on Q-learning algorithm, while the other is based on modeling of artificial immune system. </p><p> Q-learning solution for the herding problem is developed, using region-based local learning for each individual agent. Individual an

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Li, Zhuo. "A MULTI-AGENT BASED APPROACH FOR SOLVING THE REDUNDANCY ALLOCATION PROBLEM." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/155634.

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Electrical Engineering<br>M.S.E.<br>Redundancy Allocation Problem (RAP) is a well known mathematical problem for modeling series-parallel systems. It is a combinatorial optimization problem which focuses on determining an optimal assignment of components in a system design. Due to the diverse possible selection of components, the RAP is proved to be NP-hard. Therefore, many algorithms, especially heuristic algorithms were proposed and implemented in the past several decades, committed to provide innovative methods or better solutions. In recent years, multi-agent system (MAS) is proposed for

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Froňková, Pavlína. "Principal-Agent Problem in the Theory of Discrimination - Do HR Managers Discriminate More Than Business Owners?" Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193309.

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Becker's discrimination theory predicted that the discrimination by employers on competitive markets should cease to exist. However, in past decades, it was shown that discrimination on the labour market is a prevalent phenomenon. In this thesis I analyse what is the impact of agency problem on the theory of discrimination. I show that when an agent (in the thesis called 'agent employer') is deciding whether to employ or not to employ a worker, his motivation is different compared to principal's. The outcome of the analysis is such that under certain assumptions, the agent employer with non-ze

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Kivelevitch, Elad H. "Robust, Real Time, and Scalable Multi-Agent Task Allocation." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337007279.

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Franklin, Chris. "Multi-objective optimisation using agent-based modelling." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71788.

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ENGLISH ABSTRACT: It is very seldom that a decision-making problem concerns only a single value or objective. The process of simultaneously optimising two or more con icting objectives is known as multi-objective optimisation (MOO). A number of metaheuristics have been successfully adapted for MOO. The aim of this study was to investigate the feasibility of applying an agent-based modelling approach to MOO. The (s; S) inventory problem was chosen as the application eld for this approach and Anylogic used as model platform. Agents in the model were responsible for inventory and sales

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Books on the topic "Agent problem"

1

Malcomson, James M. The multiperiod principal agent problem. Department of Economics, University of Southampton, 1985.

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Grünbichler, Andreas. Betriebliche Altersvorsorge als Principal-Agent-Problem. Gabler Verlag, 1991. http://dx.doi.org/10.1007/978-3-322-87977-6.

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Grünbichler, Andreas. Betriebliche Altersvorsorge als Principal-Agent-Problem. Gabler, 1991.

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Agent provocateur: Et etisk og juridisk problem. Aarhus universitetsforlag, 1986.

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Chengqi, Zhang, ed. Agent-based hybrid intelligent systems: An agent-based fromework for complex problem solving. Springer, 2004.

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Zili, Zhang. Agent-based hybrid intelligent systems: An agent-based framework for complex problem solving. Springer, 2004.

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Fratianni, Michele. Central banking as a political principal-agent problem. Centre for Economic Policy Research, 1993.

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Liu, Cheng-Lin, and Fei Liu. Consensus Problem of Delayed Linear Multi-agent Systems. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2492-4.

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Riza, Limor. The impact of corporate taxation on the principal agent problem. P. Lang, 2003.

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Hunziker, Silvia. Das Prinzipal-Agent-Problem im schweizerischen Vertragsrecht: Informationsasymmetrien und Verhaltenssteuerung. Schulthess, 2007.

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Book chapters on the topic "Agent problem"

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Vollmer, Fred. "The Epi-Phenomenalist Problem." In Agent Causality. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9225-3_7.

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Cvitanić, Jakša, and Jianfeng Zhang. "Principal–Agent Problem." In Contract Theory in Continuous-Time Models. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-14200-0_1.

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Gough, Michael. "Dioxin, a Prevalent Problem." In Dioxin, Agent Orange. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-6130-3_1.

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Pérez Castaño, Arnaldo. "Cleaning Agents: A Multi-Agent System Problem." In Practical Artificial Intelligence. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3357-3_7.

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Jędrzejowicz, Piotr, and Ewa Ratajczak-Ropel. "A-Team for Solving MRCPSP/max Problem." In Agent and Multi-Agent Systems: Technologies and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22000-5_48.

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Barbucha, Dariusz. "Cooperative Solution to the Vehicle Routing Problem." In Agent and Multi-Agent Systems: Technologies and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13541-5_19.

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Tweedale, Jeffrey W., and Lakhmi C. Jain. "Problem Solving Workshop." In Embedded Automation in Human-Agent Environment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22676-2_11.

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Tan, Yu-An, Xin-Hua Zhang, Li-Ning Xing, Xue-Lan Zhang, and Shu-Wu Wang. "An Improved Multi-agent Approach for Solving Large Traveling Salesman Problem." In Agent Computing and Multi-Agent Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_34.

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Pouchard, Line, and David W. Walker. "A Community of Agents for User Support in a Problem-Solving Environment." In Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47772-1_20.

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Bazyluk, Marcin, and Leszek Koszalka. "Efficiency of Metaheuristics in PMJS_E/T Scheduling Problem." In Agent and Multi-Agent Systems: Technologies and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01665-3_35.

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Conference papers on the topic "Agent problem"

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Lesca, Julien, and Taiki Todo. "Service Exchange Problem." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/49.

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In this paper, we study the service exchange problem where each agent is willing to provide her service in order to receive in exchange the service of someone else. We assume that agent's preference depends both on the service that she receives and the person who receives her service. This framework is an extension of the housing market problem to preferences including a degree of externalities. We investigate the complexity of computing an individually rational and Pareto efficient allocation of services to agents for ordinal preferences, and the complexity of computing an allocation which ma

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Xu-bo Zhang, Zi-gang Zhang, and Zi-lin Chen. "A principal-agent problem." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443481.

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Ezra, Tomer, Michal Feldman, and Ron Kupfer. "On a Competitive Secretary Problem with Deferred Selections." 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.2021/25.

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We study the secretary problem in multi-agent environments. In the standard secretary problem, a sequence of arbitrary awards arrive online, in a random order, and a single decision maker makes an immediate and irrevocable decision whether to accept each award upon its arrival. The requirement to make immediate decisions arises in many cases due to an implicit assumption regarding competition. Namely, if the decision maker does not take the offered award immediately, it will be taken by someone else. We introduce a novel multi-agent secretary model, in which the competition is explicit. In our

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"THE MULTI-AGENT PLANNING PROBLEM." In 3rd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003177502960305.

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Rastgoftar, Hossein, and Ella M. Atkins. "Deployment of an Arbitrary Distribution of a Multi-Agent System With Finite Size on a Desired Formation." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9752.

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This paper considers the problem of deploying an arbitrary multi-agent system in a desired formation over an n-dimensional motion space. Each agent is considered to be a ball and collision avoidance is addressed. System evolution in ℝn is decomposed into n one dimensional motion problems, where evolution of the agents qth (q = 1, 2, 3) components are independently guided by two q-leaders. The remaining agents are considered q-followers, updating the qth component of their positions by local interactions with two neighboring q-agents. Communications among the q-agents are weighted by values con

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Jian, Kuo-Di, and Kendall E. Nygard. "Problem solver for distributed software agent." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Khan M. Iftekharuddin and Abdul Ahad S. Awwal. SPIE, 1999. http://dx.doi.org/10.1117/12.363993.

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Boehmer, Niclas, and Edith Elkind. "Stable Roommate Problem with Diversity Preferences." 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.2020/14.

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In the multidimensional stable roommate problem, agents have to be allocated to rooms and have preferences over sets of potential roommates. We study the complexity of finding good allocations of agents to rooms under the assumption that agents have diversity preferences (Bredereck, Elkind, Igarashi, AAMAS'19): each agent belongs to one of the two types (e.g., juniors and seniors, artists and engineers), and agents’ preferences over rooms depend solely on the fraction of agents of their own type among their potential roommates. We consider various solution concepts for this setting, such as co

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Saremi, Alireza, Nasr Al-Hinai, G. Gary Wang, and Tarek ElMekkawy. "Multi Agent Normal Sampling Technique (MANST) for Global Optimization." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35506.

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The current work discusses a novel global optimization method called the Multi-Agent Normal Sampling Technique (MANST). MANST is based on systematic sampling of points around agents; each agent in MANST represents a candidate solution of the problem. All agents compete with each other for a larger share of available resources. The performance of all agents is periodically evaluated and a specific number of agents who show no promising achievements are deleted; new agents are generated in the proximity of those promising agents. This process continues until the agents converge to the global opt

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Švancara, Jiří. "Bringing Multi-agent Path Finding Closer to Reality." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/837.

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Multi-agent path finding is the problem of navigating multiple agents from their current locations to their goal locations in such a way that there are no collisions between the agents. The classical definition of the problem assumes that the set of agents is unchangeable, and that the distances in the graph are homogeneous. We propose to add to the problem specification a set of new attributes to bring it closer to the real world. These attributes include varying distances, number of agents that can occupy an edge or node, and dynamic appearance of new agents.

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Lapp, Samuel, Kathryn Jablokow, and Christopher McComb. "Collaborating With Style: Using an Agent-Based Model to Simulate Cognitive Style Diversity in Problem Solving Teams." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97932.

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Abstract Collaborative problem solving can be successful or counterproductive. The performance of collaborative teams depends not only on team members’ abilities, but also on their cognitive styles. Cognitive style measures differences in problem-solving behavior: how people generate solutions, manage structure, and interact. While teamwork and problem solving have been studied separately, their interactions are less understood. This paper introduces the KAI Agent-Based Organizational Optimization Model (KABOOM), the first model to simulate cognitive style in collaborative problem solving. KAB

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Reports on the topic "Agent problem"

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Murtishaw, Scott, and Jayant Sathaye. Quantifying the Effect of the Principal-Agent Problem on USResidential Energy Use. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/913156.

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Julio-Román, Juan Manuel. Principal-agent problem with minimum performance insurance: the case of mandatory individual pension accounts. Banco de la República, 2009. http://dx.doi.org/10.32468/be.546.

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Greenstone, Michael, Guojun He, Ruixue Jia, and Tong Liu. Can Technology Solve the Principal-Agent Problem? Evidence from China’s War on Air Pollution. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27502.

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Lorincz, Andras. Models of Distribution Computation: Behavior Characterization of Intelligent Problem Solving for an Agent Hierarchy in a Competitive (Web) Environment. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada637295.

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Blum, Helcio, and Jayant Sathaye. Quantitative Analysis of the Principal-Agent Problem in Commercial Buildings in the U.S.: Focus on Central Space Heating and Cooling. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/983799.

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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist bioph

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Ilut, Cosmin, and Rosen Valchev. Economic Agents as Imperfect Problem Solvers. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27820.

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Gates, Daniel R., E. C. Yoder, and Peter J. Coughlan. Combating Principal-Agent Relationship Problems: Use of the Truth Revealing Incentive Mechanism. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada475993.

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Liu, JyiShane. Collective Problem Solving through Coordination in a Society of Reactive Agents. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada283008.

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Scheiber, Lane B., and Ronald A. Enlow. Warfighter's Edge: Using Intelligent Agents To Solve Warfighter Problems. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390191.

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