DocumentCode :
2464212
Title :
COSA2 - A Cognitive System Architecture with Centralized Ontology and Specific Algorithms
Author :
Brggenwirth, Stefan ; Schulte, Axel
Author_Institution :
Inst. of Flight Syst., Bundeswehr Univ. Munich, Neubiberg, Germany
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
307
Lastpage :
314
Abstract :
In this article, we present the architectural and algorithmic details for a COgnitive System Architecture that uses a Centralized Ontology with Specific Algorithms (COSA2). COSA2 is a layered intelligent agent framework on the basis of the modified Rasmussen model of human performance. It encompasses integrated algorithmic support for goal-oriented situation interpretation, dynamic planning and plan execution, as well as provisions for reactive behavior. A unique feature is the claim for an expressive, centralized knowledge representation, used by all functions to ensure consistency. The framework is being applied to different problems in the domain of uninhabited aerial vehicles. This article focuses on high level, concept-based behavior and illustrates the modeling and processing details by a simplified UAV mission management example.
Keywords :
autonomous aerial vehicles; cognitive systems; multi-agent systems; multi-robot systems; ontologies (artificial intelligence); COSA2; UAV mission management example; centralized knowledge representation; centralized ontology with specific algorithms; cognitive system architecture; concept-based behavior; dynamic planning; goal-oriented situation interpretation; human performance Rasmussen model; layered intelligent agent framework; plan execution; reactive behavior; uninhabited aerial vehicles; Cognition; Computer architecture; Humans; Inference algorithms; Ontologies; Planning; Intelligent agents; Knowledge modeling; Plan execution; Rule-based processing; formation; generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377719
Filename :
6377719
Link To Document :
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