interactive intelligent agent architecture
This paper proposes a conversational creature model. It is based on multi-agent subsumption architecture. Behaviours agents are represented by classifiers. We use an ethological hierarchy of agents from reflexive agent to cognitive agent. A strategic agent is also developed to control the whole dialogue, into a proactive architecture. To make this conversational creature evolve, we use a classifier system based on lisp-like s-expressions.
subsumption proactive architecture classifier systems conversational agent artificial life