Jazzyk: A programming language for hybrid agents with heterogeneous knowledge representations

Abstract

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. © 2009 Springer Berlin Heidelberg.