The emergence of high level structure in classifier systems - a proposal

Abstract

While Artificial Intelligence approaches to the representation of world knowledge has taken an unashamedly structured approach, Artificial Life workers have shunned such forms (Maes, 1992). Recent problems in the production of symbolic reasoning within classifier systems (Forrest, 1991), the debate between the ‘flat’ and ‘hierarchical’ schools of thought within autonomous agent development (Tyrell, 1992a,b). and developments in coevolving classifier systems (Dorigo & Schnepf, 1992) have fuelled new interest in higher level structures linking multiple classifier systems. It is shown that further work is required in order to understand what form such structures might take. and proposals are presented for the development of these structures