A cognitive framework for hybrid systems

Abstract

The authors explore the potential of a specific cognitive architecture to provide the relational mechanism needed to capitalize on the respective strengths of symbolic and nonsymbolic modes of representation, and on the benefits of their interaction in achieving machine intelligence. This architecture is strongly influenced by the BAIRN system of I. Wallace et al. (1987) which provides a general theory of human cognition with a particular emphasis on the function of learning. This cognitive architecture is being used in a generic approach to the aspects of human performance designated by the term situation awareness.<>