By Steven Shapiro, Yves Lespérance (auth.), Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang (eds.)
This ebook constitutes the completely refereed post-workshop lawsuits of 3 workshops held together with the tenth Australian Joint convention on synthetic Intelligence in Perth, Australia, in December 1997.
The 17 revised complete papers provided have been conscientiously reviewed for inclusion within the e-book. The booklet is split into sections on formal equipment of service provider, reasoning brokers, communique and coordination, social interplay, and functional matters for allotted synthetic intelligence systems.
Read Online or Download 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 PDF
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Extra resources 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
These performatives are modelled within the logic as functional terms that denote actions. The two performatives are: propose(i,g,~, tp) i proposes that g might do rt to achieve q3 inform(i~g, tp) i informs g that tp We do not intend that proposing indicates any preference on the part of the proposer with respect to the proposed plan: it is simply a way for an agent to communicate to a group one way of achieving a goal However, we do assume that: - agents only propose plans that they have no objection to; and - agents only propose plans that they are in possession of.
135). What this means is that if an agent intentionally does A and believes that by doing A it will thereby do B, then the agent intentionally does B. However, Bratman claims that the agent could have intended to do A but not to do B. In the putting scenario, suppose the ball is hit and, as a result, ends up in the hole. In this case, whether or not the agent intended to hole the putt, if he acted with the intention of making the putt, his making the putt is done intentionally. One additional point that has been mentioned so far only in passing is the connection 34 between ability and opportunity.
In addition, the basis of the axiomatization is a conditional connective similar to the strict implication operator, although it will obviously differ because of the use of situations rather than propositions. Furthermore, by reinterpreting the definition of information flow from Dretske (1981), the logic of normality will turn out to be identical to the logic of information flow. Our starting point is then the logical modelling of situations and information flow. 1. Modelling Situations and Information Flow Our modelling of situations comes from Devlin (1991) and Barwise and Perry (1983).