Modeling individual behavior in common pool resource management experiments with autonomous agents

Persistent Link:
http://hdl.handle.net/10150/282396
Title:
Modeling individual behavior in common pool resource management experiments with autonomous agents
Author:
Deadman, Peter John, 1960-
Issue Date:
1997
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This work introduces and illustrates the potential of intelligent agent based modeling and simulation as a tool for understanding individual action and group performance in common pool resource dilemmas. Three groups of models were developed, based on previously documented common pool resource experiments, and simulated using the Swarm multi-agent simulation environment. Agents in these models were designed to represent the actions of the individual appropriators in the experiments and the common pool resource itself. The three groups of models are differentiated by the capabilities of the appropriator agents and address; preassigned fixed strategies with no communication, a simple induction based approach to selecting amongst alternative strategies with no communication, and the induction based approach with two simple communication routines. Simulations of these three groups of models rendered observations of some potential relationships between individual action and group performance in common pool resource experimental situations. In particular, simulations of agents employing the induction based approach with no-communication generated group level behavior with similar performance characteristics to groups in actual experiments. A discussion relates the behavior of these simulations to other simulation based work in game theory and learning theory. Some potential future directions for this research, and possible applications in natural resources management, are discussed.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Political Science, General.; Environmental Sciences.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Renewable Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Ball, George

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleModeling individual behavior in common pool resource management experiments with autonomous agentsen_US
dc.creatorDeadman, Peter John, 1960-en_US
dc.contributor.authorDeadman, Peter John, 1960-en_US
dc.date.issued1997en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis work introduces and illustrates the potential of intelligent agent based modeling and simulation as a tool for understanding individual action and group performance in common pool resource dilemmas. Three groups of models were developed, based on previously documented common pool resource experiments, and simulated using the Swarm multi-agent simulation environment. Agents in these models were designed to represent the actions of the individual appropriators in the experiments and the common pool resource itself. The three groups of models are differentiated by the capabilities of the appropriator agents and address; preassigned fixed strategies with no communication, a simple induction based approach to selecting amongst alternative strategies with no communication, and the induction based approach with two simple communication routines. Simulations of these three groups of models rendered observations of some potential relationships between individual action and group performance in common pool resource experimental situations. In particular, simulations of agents employing the induction based approach with no-communication generated group level behavior with similar performance characteristics to groups in actual experiments. A discussion relates the behavior of these simulations to other simulation based work in game theory and learning theory. Some potential future directions for this research, and possible applications in natural resources management, are discussed.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectPolitical Science, General.en_US
dc.subjectEnvironmental Sciences.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorBall, Georgeen_US
dc.identifier.proquest9806763en_US
dc.identifier.bibrecord.b37515950en_US
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