Distributed Artificial Intelligence (Vol. 2)
Distributed Artificial Intelligence (Vol. 2)
Distributed Artificial Intelligence
Distributed Artificial Intelligence
Combining Introspection and Communication with Rationality and Reactivity in Agents
JELIA '98 Proceedings of the European Workshop on Logics in Artificial Intelligence
UML Class Diagrams Revisited in the Context of Agent-Based Systems
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Simulating a Human Cooperative Problem Solving
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Artificial Intelligence
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
What your computer really needs to know, you learned in kindergarten
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Modeling communicative behavior using permissions and obligations
AC'04 Proceedings of the 2004 international conference on Agent Communication
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Agents in multiagent systems interact to a large extent by communicating. Such communication may be fruitfully studied from the point of view of speech act theory. In order for multiagent systems to be formally and rigorously designed and analyzed, a semantics of speech acts that gives their objective model-theoretic conditions of satisfaction is needed. However, most research into multiagent systems that deals with communication provides only informal descriptions of the different message types used. And this problem is not addressed at all by traditional speech act theory or by AI research into discourse understanding. I provide a formal semantics for the major kinds of speech acts at a level that has not been considered before. The resulting theory applies uniformly to a wide range of multiagent systems. Some applications of this theory are outlined, and some of its theorems listed.