Jazzyk: A Programming Language for Hybrid Agents with Heterogeneous Knowledge Representations

نویسنده

  • Peter Novák
چکیده

Different knowledge representation tasks require different knowledge representation techniques. Agent designers should therefore be able to easily exploit benefits of various knowledge representation technologies in a single agent system. I describe here a modular agent programming language Jazzyk based on the programming framework of Behavioural State Machines (BSM ). BSM framework, and thus also Jazzyk, draws a strict distinction between a knowledge representational and a behavioural level of an agent program. It supports a high degree of modularity w.r.t. employed KR technologies, and at the same time provides a clear and concise semantics.

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تاریخ انتشار 2008