Agents and Multi-Agent Systems Formalisms, Methodologies, by Steven Shapiro, Yves Lespérance (auth.), Wayne Wobcke,

By Steven Shapiro, Yves Lespérance (auth.), Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang (eds.)

This booklet constitutes the completely refereed post-workshop court cases of 3 workshops held along with the tenth Australian Joint convention on man made Intelligence in Perth, Australia, in December 1997.
The 17 revised complete papers awarded have been rigorously reviewed for inclusion within the ebook. The publication is split into sections on formal tools of enterprise, reasoning brokers, conversation and coordination, social interplay, and functional matters for dispensed man made intelligence systems.

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Additional info for Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications: Based on the AI'97 Workshop on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence Perth, Australia, December 1, 1997

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We introduce one function for each of the plan constructors: seq for ; par forll test for? or forl iter for ,. These functions are required to satisfy certain properties. For example, for all plan bodies I~, ~', we require that seq(~, ~t) returns the plan body obtained by conjoining the plan bodies denoted by [3 and I~' with the sequential composition constructor. These functions allow us to construct plan bodies within our language. However, complex plan bodies written out in full using these functions become hard to read.

Modelling Actions and Results In this section, we extend the logic of situations with a simple formulation of action. g. g. Singh (1994), van der Hock, van Linder and Meyer (1994). This approach has also been adopted by Belnap and Perloff (1988) to formalize 'seeing to it that' and Segerberg (1989) to formalizing 'bringing it about'. In Segerberg's system, for every proposition A, there is an 'action' 5A standing for 'bringing it about that A', or more simply, 'doing A'. However, as noted above, this takes no account of the future directed aspect of intention as needed by a planning agent.

The MIT Press: Cambridge, MA, 1990. 7. K. Decker and V. Lesser. Designing a family of coordination algorithms. In Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95), pages 73-80, San Francisco, CA, June 1995. 8. E. H. Durfee. Coordination of Distributed Problem Solvers. Kluwer Academic Publishers: Boston, MA, 1988. 9. E. A. Emerson and J. Y. Halpem. 'Sometimes' and 'not never' revisited: on branching time versus linear time temporal logic. Journal of the ACM, 33(1):151-178, 1986.

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