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by Paul Scerri, Nancy Reed
http://www.ida.liu.se/~pausc/PRICAI_CMR.ps
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Abstract:
Abstract. Interactive simulation environments with large numbers of intelligent agents are becoming increasingly common. In general, knowledge of precisely what agents should do in the environment is not an agent developer's area of expertise, rather it is a domain expert's expertise. In this paper we present an approach to specifying agents that takes advantage of the domain expert's knowledge where possible, but still allocates dicult programming tasks to expert programmers. In particular, the task of specifying agent behavior is layered and tasks are allocated according to the relative amounts of programming and domain expertise required for each one. Results are presented for an implementation of the technique for RoboCup players. An interesting benet of the layered speci cation we observed was that an ecient, parallel development approach emerged. 1
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