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.
|Title of host publication||Frontiers in Artificial Intelligence and Applications|
|Number of pages||2|
|State||Published - Jun 2008|
|Event||18th European Conference on Artificial Intelligence, ECAI 2008 - Patras, Greece|
Duration: 21 Jul 2008 → 25 Jul 2008
|Name||Frontiers in Artificial Intelligence and Applications|
|Conference||18th European Conference on Artificial Intelligence, ECAI 2008|
|Period||21/07/08 → 25/07/08|
Bibliographical noteFunding Information:
This work was supported in part by NSF under grant #IS0705587 and ISF under grant #1357/07. Sarit Kraus is also affiliated with UMIACS.
This work was supported in part by NSF under grant #IS0705587 and ISF under grant #1357/07. Sarit Kraus is also affiliated with UMI-ACS.
© 2008 The authors and IOS Press. All rights reserved.