DocumentCode :
1943263
Title :
Fuzzy-based Schema Mechanisms in AKIRA
Author :
Pezzulo, Giovanni ; Ognibene, Dimitri ; Calvi, Gianguglielmo ; Lalia, Daniela
Author_Institution :
ISTC, CNR, Roma
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
146
Lastpage :
152
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
Keywords :
fuzzy logic; fuzzy set theory; robots; software agents; AKIRA; agent-based hybrid architecture; fuzzy-based schema mechanism; robotic control; visual search domain; Centralized control; Cognition; Cognitive robotics; Computational intelligence; Computational modeling; Control systems; Drives; Joining processes; Predictive models; Robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631459
Filename :
1631459
Link To Document :
بازگشت