Abstract
Intentions have been widely studied in AI, both in the context of decision-making within individual agents and in multiagent systems. Work on intentions in multi-agent systems has focused on joint intention models, which characterise the mental state of agents with a shared goal engaged in teamwork. In the absence of shared goals, however, intentions play another crucial role in multi-agent activity: they provide a basis around which agents can mutually coordinate activities. Models based on shared goals do not attempt to account for or explain this role of intentions. In this paper, we present a formal model of multi-agent systems in which belief-desire-intention agents choose their intentions taking into account the intentions of others. To understand rational mental states in such a setting, we formally define and investigate notions of multi-agent intention equilibrium, which are related to equilibrium concepts in game theory.
Original language | English |
---|---|
Title of host publication | Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
Publisher | AAAI press |
Pages | 786-791 |
Number of pages | 6 |
ISBN (Electronic) | 9781577354642 |
State | Published - 15 Jul 2010 |
Event | 24th AAAI Conference on Artificial Intelligence, AAAI 2010 - Atlanta, United States Duration: 11 Jul 2010 → 15 Jul 2010 |
Publication series
Name | Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
---|
Conference
Conference | 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
---|---|
Country/Territory | United States |
City | Atlanta |
Period | 11/07/10 → 15/07/10 |
Bibliographical note
Publisher Copyright:© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
∗This research is based upon work supported in part by NSF grant 0705587 and under ISF grant 1357/07. Copyright ©c 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funders | Funder number |
---|---|
National Science Foundation | 0705587 |
Iowa Science Foundation | 1357/07 |