Fuzzy-based Schema Mechanisms in AKIRA
Giovanni Pezzulo, Dimitri Ognibene, Gianguglielmo Calvi, D. Lalia · 2006
We compare Action Selection and Schema mechanisms for robotic control, focusing mainly on the reactive vs. anticipatory distinction. We present AKIRA, an agent-based hybrid architecture, focusing on its capabilites to design fuzzy-based Schema models. We implement in AKIRA reactive and anticipatory mechanisms, and we compare them in an experimental set-up in the Visual Search domain.