Article

Modeling one human decision maker with a multi-agent system: the CODAGE approach

Authors:

Jean-Daniel Kant,

Samuel ThiriotAuthors Info & Claims

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

Pages 50 - 57

https://doi.org/10.1145/1160633.1160639

Published: 08 May 2006 Publication History

Abstract

In this paper, we propose an agent-based model of human decision making: CODAGE (Cognitive Decision AGEnt). Classical Decision Theories have been widely used in multi-agent systems, but imply a too rational behavior when faced with real-world human data. Moreover, classical model usually exceeds human capabilities. Therefore, we derived our decision model from several cognitive psychological theories (e.g. Simon's decision theory, Montgomery's search of dominance structure, etc.) to take human bounded rationality into account. While most of existing cognitive agents use the BDI framework, we propose a new kind of architecture. In the CODAGE model, the decision maker is modeled by an entire multi-agent system, where each agent is in charge a particular sub-process of the whole decision. The architecture is intended to be as generic as possible. It could be viewed as an agent-based decision framework, in which different decision heuristics and biases could be implemented. We illustrate this approach with a simulation of a small experimental financial market, for which our model was able to replicate some human decision behaviors.

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https://doi.org/10.3233/JID-220015
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cover image ACM Conferences

AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems

May 2006

1631 pages

ISBN:1595933034

DOI:10.1145/1160633

General Chairs:
Hideyuki Nakashima
Future University - Hakodate, Japan
,
Michael Wellman
University of Michigan
,
Program Chairs:
Gerhard Weiss
Technical University Munich, Germany
,
Peter Stone
The University of Texas at Austin

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IFMAS: The International Foundation for Multiagent Systems
SIGAI: ACM Special Interest Group on Artificial Intelligence
ATAL: The International Workshop on Agent Theories, Architectures, and Languages

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2006

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AAMAS06

Sponsor:

IFMAS
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ATAL

AAMAS06: AAMAS '06 - 5th International Joint Conference on Autonomous Agents and Multi-agent Systems 2006

May 8 - 12, 2006

Japan, Hakodate

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Cited By

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https://doi.org/10.3233/JID-220015
Nguyen NPham DDuong V(2024)A Hierarchical Multi-Agent Coordinated Decision-Making for Strategic Slot Allocation2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC)10.1109/DASC62030.2024.10749348(1-10)Online publication date: 29-Sep-2024
https://doi.org/10.1109/DASC62030.2024.10749348
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https://doi.org/10.4018/978-1-7998-2975-1.ch001
Berlinger SWall F(2013)Effects of Combined Human Decision-Making Biases on Organizational PerformanceMulti-Agent-Based Simulation XIII10.1007/978-3-642-38859-0_3(27-42)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38859-0_3
Buddhika KJayamanne DWIjegunawardana PGunasekera RKohomban U(2012)DecisionAI: A framework to automate the decision making process2012 IEEE 6th International Conference on Information and Automation for Sustainability10.1109/ICIAFS.2012.6419900(171-176)Online publication date: Sep-2012
https://doi.org/10.1109/ICIAFS.2012.6419900
Hong WKim S(2011)Learning by multiple human agents to perform a cooperative control task2011 IEEE International Conference on Systems, Man, and Cybernetics10.1109/ICSMC.2011.6084048(2468-2472)Online publication date: Oct-2011
https://doi.org/10.1109/ICSMC.2011.6084048
Smith CKniveton DWood SBlack R(2011)Climate Change and Migration: A Modelling ApproachAfrican Climate and Climate Change10.1007/978-90-481-3842-5_8(179-201)Online publication date: 9-Feb-2011
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Zhang YLewis MDrennon CPellon MColeman (2009)Modeling Cognitive Agents for Social Systems and a Simulation in Urban DynamicsHandbook of Research on Agent-Based Societies10.4018/978-1-60566-236-7.ch008(104-124)Online publication date: 2009
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Balsdon QEhlers E(2009)MAGEFRAMEAgent Computing and Multi-Agent Systems10.1007/978-3-642-01639-4_3(25-36)Online publication date: 21-Apr-2009
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