Fuzzy-based Schema Mechanisms in AKIRA

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

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