TY - GEN
T1 - An empirical investigation of the adversarial activity model
AU - Zuckerman, Inon
AU - Kraus, Sarit
AU - Rosenschein, Jeffrey S.
N1 - Publisher Copyright:
© 2008 The authors and IOS Press. All rights reserved.
PY - 2008/6
Y1 - 2008/6
N2 - Multiagent research provides an extensive literature on formal Belief-Desire-Intention (BDI) based models describing the notions of teamwork and cooperation, but adversarial and competitive relationships have received very little formal BDI treatment. Moreover, one of the main roles of such models is to serve as design guidelines for the creation of agents, and while there is work illustrating that role in cooperative interaction, there has been no empirical work done to validate competitive BDI models. In this work we use the Adversarial Activity model, a BDI-based model for bounded rational agents that are operating in a general zero-sum environment, as an architectural guideline for building bounded rational agents in two adversarial environments: the Connect-four game (a bilateral environment) and the Risk strategic board game (a multilateral environment). We carry out extensive simulations that illustrate the advantages and limitations of using this model as a design specification.
AB - Multiagent research provides an extensive literature on formal Belief-Desire-Intention (BDI) based models describing the notions of teamwork and cooperation, but adversarial and competitive relationships have received very little formal BDI treatment. Moreover, one of the main roles of such models is to serve as design guidelines for the creation of agents, and while there is work illustrating that role in cooperative interaction, there has been no empirical work done to validate competitive BDI models. In this work we use the Adversarial Activity model, a BDI-based model for bounded rational agents that are operating in a general zero-sum environment, as an architectural guideline for building bounded rational agents in two adversarial environments: the Connect-four game (a bilateral environment) and the Risk strategic board game (a multilateral environment). We carry out extensive simulations that illustrate the advantages and limitations of using this model as a design specification.
UR - http://www.scopus.com/inward/record.url?scp=84856295170&partnerID=8YFLogxK
U2 - 10.3233/978-1-58603-891-5-861
DO - 10.3233/978-1-58603-891-5-861
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AN - SCOPUS:84856295170
SN - 978158603891
T3 - Frontiers in Artificial Intelligence and Applications
SP - 861
EP - 862
BT - Frontiers in Artificial Intelligence and Applications
PB - IOS Press BV
T2 - 18th European Conference on Artificial Intelligence, ECAI 2008
Y2 - 21 July 2008 through 25 July 2008
ER -