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
['Giovanni Pezzulo', 'Dimitri Ognibene', 'Gianguglielmo Calvi', 'Daniela Lalia']
Fuzzy-based Schema Mechanisms in AKIRA