Computationally feasible bounds for partially observed Markov decision processes
Operations Research
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Journal of Mathematical Psychology - Special issue on experimental economics
Proceedings of the third annual conference on Autonomous Agents
Computational organization theory
Multiagent systems
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
COGENT: cognitive agent to amplify human perception and cognition
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Satisficing Games and Decision Making: With Applications to Engineering and Computer Science
Satisficing Games and Decision Making: With Applications to Engineering and Computer Science
The Dynamic Selection of Coordination Mechanisms
Autonomous Agents and Multi-Agent Systems
Going Beyond the Data: Empirical Validation Leading to Grounded Theory
Computational & Mathematical Organization Theory
Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Validation and verification of social processes within agent-based computational organization models
Computational & Mathematical Organization Theory
Modeling one human decision maker with a multi-agent system: the CODAGE approach
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Bounded rationality via recursion
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Adaptive learning in evolving task allocation networks
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Journal of Artificial Intelligence Research
PsychSim: modeling theory of mind with decision-theoretic agents
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
MABS'06 Proceedings of the 2006 international conference on Multi-agent-based simulation VII
BioWar: scalable agent-based model of bioattacks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiattribute decision aid with extended ISMAUT
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Agent-based models have been used to simulate complex social systems in many domains. Historically research in agent decision-making has been performed with the goal of creating an agent who acts rational. However, experimental economics has shown that human beings do not always make rational decisions. Based on Kahneman and Tversky's descriptive theory, this paper proposes a computational agent-based model of human-like intuitive decisions and bounded rationality. A series of experiments are conducted to evaluate the concept, the model and their impacts on endowing agents with human-like decisions. Our experiments show that a selfish agent defers from the strategy of the rational agent and is more similar to human strategy.