PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
Intention is choice with commitment
Artificial Intelligence
Reasoning about knowledge
Communication and cooperation in agent systems: a pragmatic theory
Communication and cooperation in agent systems: a pragmatic theory
Formalising abilities and opportunities of agents
Fundamenta Informaticae
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
Dynamic Logic
Fundamenta Informaticae
Towards a Theory of Cooperative Problem Solving
MAAMAW '94 Proceedings of the 6th European Workshop on Modelling Autonomous Agents: Distributed Software Agents and Applications
Commitments Among Autonomous Agents in Information-Rich Environments
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Social and Individual Commitment
PRICAI '96 Proceedings from the Workshop on Intelligent Agent Systems, Theoretical and Practical Issues
Intentional Agents and Goal Formation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Embedding Alternating-time Temporal Logic in Strategic Logic of Agency
Journal of Logic and Computation
Evolution of Collective Commitment during Teamwork
Fundamenta Informaticae
A Tuning Machine for Cooperative Problem Solving
Fundamenta Informaticae - Multiagent Systems (FAMAS'03)
Complexity Issues in Multiagent Logics
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
A modal logic for beliefs and pro attitudes
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
On evaluating decision procedures for modal logic
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Teamwork in Multi-Agent Systems: A Formal Approach
Teamwork in Multi-Agent Systems: A Formal Approach
The cognitive and communicative demands of cooperation
Games, Actions and Social Software
The cognitive and communicative demands of cooperation
Games, Actions and Social Software
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This chapter presents the non-dynamic part of a formal framework for teamwork in multi-agent systems. The framework consists of both a static part , defining collective motivational attitudes in such a way that the system developer can adapt them to the circumstances, and a dynamic part monitoring the changes in team attitudes during the course of cooperative problem solving (CPS). In the first part of this chapter, the notion of collective intention in teams of agents is investigated. Starting from individual intentions , goals , and beliefs defining agents' local attitudes, we arrive at an understanding of collective intention in cooperative teams as a rather strong concept: it implies that all members intend for all others to share that intention. This way a team is glued together by collective intention, and exists as long as this attitude holds, after which it may disintegrate. Collective intentions are formalized in a multi-modal logical framework. Together with individual and common knowledge and/or belief, collective intention constitutes a basis for preparing a plan, reflected in the strongest attitude, i.e., in collective commitment , defined and investigated in the next part. Distinct versions of collective commitments that are applicable in various situations, differ with respect to the aspects of teamwork of which the agents involved are aware, and the kind of awareness present within a team. This way a kind of tuning mechanism is provided for the system developer to tune a version of collective commitment fitting the circumstances. Finally, a few exemplar versions of collective commitment resulting from instantiating the general tuning scheme are presented.