Author(s)

H. Hexmoor, J. Lammens, G. Caicedo & S.C. Shapiro

Abstract

Behaviour based AI, cognitive processes, and emergent behaviors in autonomous agents H. Hexmoor, J. Lammens, G. Caicedo & S.C. Shapiro Computer Science Department, 226 Bell Hall, State University of New York at Buffalo, Buffalo, New York 14260, USA ABSTRACT Behavior based AI [8,18] has questioned the need for modeling intelligent agency using generalized cognitive modules for perception and behavior generation. Be- havior based AI has demonstrated successful interactions in unpredictable en- vironments in the mobile robot domain [7, 8]. This has created a gulf between "traditional" approaches to modeling intelligent agency and behavior based ap- proaches. We present an architecture for intelligent autonomous agents which we call GLAIR (Grounded Layered Architecture with Integrated Reasoning) [13, 14, 12]. GLAIR is a general multi-level architecture for autonomous cog- nitive agents with integrated sensory and motor capabilities. GLAIR offers an "unconscious" layer f

Keywords