Fuzzy-based Schema Mechanisms in AKIRA

Authors:
Giovanni Pezzulo;Dimitri Ognibene;Gianguglielmo Calvi;Daniela Lalia
Affiliations:
ISTC-CNR, Roma, Italy;ISTC-CNR, Roma, Italy;Noze S.r.l., Cascina (PI), Italy;Noze S.r.l., Cascina (PI), Italy
Venue:
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Year:
2005

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Abstract

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.