Download Computational Logic in Multi-Agent Systems: 4th by João Leite PDF

By João Leite

ISBN-10: 3540240101

ISBN-13: 9783540240105

This e-book constitutes the strictly refereed post-proceedings of the 4th overseas Workshop on Computational common sense for Multi-Agent platforms, CLIMA IV, held in citadel Lauderdale, Fl, united states in January 2004. The eleven revised complete papers offered including 2 invited papers have been conscientiously chosen in the course of rounds of reviewing and development. The papers are dedicated to recommendations from computational common sense for representing, programming, and reasoning approximately multi-agent structures. The papers are prepared in topical sections on negotiation in MAS, making plans in MAS, wisdom revision and replace in MAS, and studying in BDI MAS.

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Extra info for Computational Logic in Multi-Agent Systems: 4th International Workshop, CLIMA IV, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and ...

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Fig. 2. 3 Structuring the Agent Space Using groups as the basic components of an agent space, and the notions of content and context, makes us able to structure this space in a very flexible way. Fig. 2 shows a simple example of an agent space and its description using different notations. The agent space is obviously dynamic, and agents can be organised, and reorganised, in some collections according to the specific scenarios we have to model or to the actual needs of the agents themselves. We consider here three simple, yet very common, examples of behaviour involving agents belonging to some sort of collections, and we illustrate how to represent these behaviours in our framework.

The set which grows during the individual computation activities of agents, contains all their abducible predicates, which must be agreed upon by all of them at all times. It represents a partial schedule of the allocation of chopsticks in time. Due to the conflicts on the use of resources (the chopsticks), the reasoning activity must be coordinated, and in particular it must comply with some constraints that must never be violated. For example, a chopstick cannot be taken by two different agents at the same time.

1 Programming Using Temporal Logics Temporal logic is an extension of classical logic with the notion of temporal order built in. With such logics we can describe many dynamic properties, but they all boil down to describing what we must do now, what we must do next, and what we guarantee to do at some point in the future. This, seemingly simple, view gives us the flexibility to represent a wide range of computational activities. The syntax of the temporal logic used here to specify an agent’s behaviour is formally defined as the smallest set of formulae containing: a set, of propo- Programming Groups of Rational Agents 19 sitional constants, the symbols true, false, and start, and being closed under propositional connectives and temporal operators As usual, the semantics of this logic is defined via the satisfiability relation on a discrete linear temporal model of time, with finite past and infinite future [5].

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