Intention is choice with commitment
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
A Logic for Characterizing Multiple Bounded Agents
Autonomous Agents and Multi-Agent Systems
Semantics of Agent Communication Languages for Group Interaction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
On the Epistemic Feasibility of Plans in Multiagent Systems Specifications
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
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We present a formalism for representing the intentions of agents engaged in cooperative planning and acting. We focus on cases where one agent alone cannot accomplish a complex task and must subcontract with other agents. Evolving intentions over time during the planning and acting, and the conditions under which an agent can adopt and maintain an intention, are central. In particular, the time taken to plan and to subcontract are modeled explicitly in the logic. This explicit time-representation is used to account for the time it takes an agent to adopt an intention. We use a syntactic approach presenting a formal logical calculus that can be regarded as a meta-logic that describes the reasoning and activities of the agents. We write some of the axioms of this metalanguage and explain the minimal model semantics, in which one model, the intended model, represents the actual beliefs, intentions, and actions of the agents. We also prove several results showing that under the appropriate conditions the agents will act as expected.