Building a Bayesian-Game-Theoretic Decision Support Agent

Junping Sun; Qiumin Zhu

doi:10.1109/icsmc.2002.1176366

Building a Bayesian-Game-Theoretic Decision Support Agent

Junping Sun
, Qiumin Zhu

Research output: Contribution to journal › Conference article

Abstract

This paper describes a decision support system paradigm based on applied game theory. The paradigm is to enable decision makers to better grasp the context and significance of available information presented in a situation and to enable a better "understand" of the operational implications of the information with respect to various decision alternatives. The application of an evolutionary game and Bayesian probability integrated approach is incorporated in an Intelligent Agent (IA) software architecture. The architecture is to allow the computer system to interact more effectively with the decision makers while maintaining a high level of autonomy for efficient knowledge acquisition and decision support.

Original language	American English
Pages (from-to)	265-270
Number of pages	6
Journal	Proceedings of 2002 IEEE International Conference on Systems, Man, and Cybernetics
Volume	5
DOIs	https://doi.org/10.1109/icsmc.2002.1176366
State	Published - Oct 1 2002
Event	2002 IEEE International Conference on Systems, Man, and Cybernetics - Duration: Oct 1 2002 → …

ASJC Scopus Subject Areas

Control and Systems Engineering
Hardware and Architecture

Keywords

Bayesian probability
Decision support
Evolutionary game
Intelligent agents

Disciplines

Computer Sciences

Access to Document

10.1109/icsmc.2002.1176366

Cite this

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title = "Building a Bayesian-Game-Theoretic Decision Support Agent",

abstract = " This paper describes a decision support system paradigm based on applied game theory. The paradigm is to enable decision makers to better grasp the context and significance of available information presented in a situation and to enable a better {"}understand{"} of the operational implications of the information with respect to various decision alternatives. The application of an evolutionary game and Bayesian probability integrated approach is incorporated in an Intelligent Agent (IA) software architecture. The architecture is to allow the computer system to interact more effectively with the decision makers while maintaining a high level of autonomy for efficient knowledge acquisition and decision support.",

keywords = "Bayesian probability, Decision support, Evolutionary game, Intelligent agents",

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year = "2002",

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language = "American English",

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AU - Zhu, Qiumin

PY - 2002/10/1

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N2 - This paper describes a decision support system paradigm based on applied game theory. The paradigm is to enable decision makers to better grasp the context and significance of available information presented in a situation and to enable a better "understand" of the operational implications of the information with respect to various decision alternatives. The application of an evolutionary game and Bayesian probability integrated approach is incorporated in an Intelligent Agent (IA) software architecture. The architecture is to allow the computer system to interact more effectively with the decision makers while maintaining a high level of autonomy for efficient knowledge acquisition and decision support.

AB - This paper describes a decision support system paradigm based on applied game theory. The paradigm is to enable decision makers to better grasp the context and significance of available information presented in a situation and to enable a better "understand" of the operational implications of the information with respect to various decision alternatives. The application of an evolutionary game and Bayesian probability integrated approach is incorporated in an Intelligent Agent (IA) software architecture. The architecture is to allow the computer system to interact more effectively with the decision makers while maintaining a high level of autonomy for efficient knowledge acquisition and decision support.

KW - Bayesian probability

KW - Decision support

KW - Evolutionary game

KW - Intelligent agents

UR - https://nsuworks.nova.edu/gscis_facarticles/495

U2 - 10.1109/icsmc.2002.1176366

DO - 10.1109/icsmc.2002.1176366

M3 - Conference article

VL - 5

SP - 265

EP - 270

JO - Proceedings of 2002 IEEE International Conference on Systems, Man, and Cybernetics

JF - Proceedings of 2002 IEEE International Conference on Systems, Man, and Cybernetics

T2 - 2002 IEEE International Conference on Systems, Man, and Cybernetics

Y2 - 1 October 2002

ER -

Building a Bayesian-Game-Theoretic Decision Support Agent

Abstract

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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