By Steven Shapiro, Yves Lespérance (auth.), Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang (eds.)
This publication constitutes the completely refereed post-workshop lawsuits of 3 workshops held along side 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 e-book. The publication is split into sections on formal equipment of employer, reasoning brokers, communique and coordination, social interplay, and sensible concerns for allotted man made intelligence systems.
Read 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
Reasoning About Knowledge. The MIT Press: Cambridge, MA, 1995. 11. R. E. Fikes and N. Nilsson. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence, 5(2): 189-208, 1971. 12. J. R. Galliers. A Theoretical Framework for Computer Models of Cooperative Dialogue, Acknowledging Multi-Agent Conflict. PhD thesis, Open University, UK, 1988. 13. M. P. Georgeff and F. F. Ingrand. Decision-making in an embedded reasoning system. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI89), pages 972-978, Detroit, MI, 1989.
First, we note that the layered approach, pioneered by Cohen and Levesque , which we have adopted in this 28 paper, allows us to present the formal model with comparative ease. Another obvious point to make is that presenting an agent's plan directly as a "procedure" by using a dynamic logic-style program logic, and combining this with a BDI logic, allows a number of complex ideas to be succinctly represented. However, there are a number of points at which the formalisation is weak, and, it could be argued, inadequate.
This complexity is likely to prevent complete attempts at formalisation for the foreseeable future. So, rather than attempting to present a complete formalisation, we have selected a simple, stylized, but, we argue, plausible subset of the phenomenon, which we make tractable by the use of some limiting assumptions. Obviously, it is important that these assumptions should strike a balance between being too strong and being too weak. Too strong, and the model becomes trivial; too weak, and it becomes too complex.