| Byrne (1995) C. Byrne, Refinement in Agent Groups, In Proceedings of the Workshop on Adaptation & Learning in Multi-Agent Systems, IJCAI'95, Montreal, 1995. |
....One was an implementation of a simple electronic commerce scenario, inspired by the Contract Net Protocol, Smith (1980) Another was a simple game of Battleships played between two agents. Agent K is also being used as a testbed for experiments in theory revision between co operating agents, Byrne (1995). 5 Discussion Future Work The first part of this section deals with issues arising from the integration of AOP and KQML, the second deals with possible future work. As stated in the introduction, we believe that we now have a prototype system for building open software agents. However, there ....
Byrne (1995) C. Byrne, Refinement in Agent Groups, In Proceedings of the Workshop on Adaptation & Learning in Multi-Agent Systems, IJCAI'95, Montreal, 1995.
....multi agent systems is becoming increasingly recognized as a very important topic. 4 Some researchers have applied Machine Learning techniques for the multi agent learning systems, while others have proposed new approaches especially for multi agent learning (Tan 1993; Sandholm and Crites 1996; Byrne and Edwards 1996; Nagendra Prasad et al. 1997; Ohko et al. 1996) However, only a few examples can be found for agent based manufacturing systems. Here we review only two interesting projects related to the learning in agent based manufacturing systems. Much of the literature of multi agent learning relies on ....
Byrne, C. and Edwards, P. 1996. Refinement in Agent Groups. In Weiss G. and Sen, S. eds., Adaption and Learning in Multi-Agent Systems, Lecture Notes in Artificial Intelligence 1042, pages 22-39, Springer-Verlag.
....author book recommendation system; an agentbased system to support distance learning. ffl Adaptive Multi Agent Systems As stated earlier, a community of agents which interact to solve a problem are only as good as the knowledge they possess about the domain and each other. The DRAMA system [2, 3] addresses this problem by providing a mechanism for knowledge refinement within agents. Learning techniques are used to identify the key characteristics of successful and unsuccessful community behaviour; these are then used to guide the refinement process. 4 Summary The agents briefly ....
C. Byrne and P. Edwards. Refinement in Agent Groups. In Proceedings of IJCAI95 Workshop on Adaptation & Learning in Multi-Agent Systems, 1995. To be published by Springer-Verlag as part of the Lecture Notes in Artificial Intelligence series.
....some translation mechanism if the information exchanged is to be understandable to them. For example, KIF (Knowledge Interchange Format) 3] is an interlingua which has been proposed as a means of sharing knowledge between agents. A Distributed Refinement System: The aim of our refinement system [4] is the production of coordinated and effective behaviour in an agent group. This can be achieved by resolving incompleteness and inconsistency in the agents knowledge bases. We would hope that the performance of the agent group in achieving common goals would be improved as a result. Extensive ....
C. Byrne and P. Edwards. Refinement in Agent Groups. In Proceedings of the IJCAI-95 Workshop on Learning and Adaptation in Multiagent Systems, 1995.
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