DocumentCode
2292642
Title
Design considerations for COSA2
Author
Brüggenwirth, Stefan ; Pecher, Wolfgang ; Schulte, Axel
Author_Institution
Inst. of Flight Syst., Bundeswehr Univ., Munich, Germany
fYear
2011
fDate
11-15 April 2011
Firstpage
1
Lastpage
8
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-driven situation interpretation, dynamic planning and plan execution, as well as provisions for reactive behavior. A unique feature is the claim for an expressive, centralized ontology representation, used by all functions to ensure consistency. The framework is being applied to different problems in the domain of uninhabited aerial vehicles. The modeling and processing details described in this article are illustrated by a simplified example from the intelligent onboard systems management domain.
Keywords
aerospace computing; cognitive systems; human computer interaction; mobile robots; ontologies (artificial intelligence); remotely operated vehicles; software architecture; COSA2; centralized ontology representation; centralized ontology with specific algorithms; cognitive system architecture; dynamic planning; goal-driven situation interpretation; intelligent onboard systems management domain; layered intelligent agent framework; modified Rasmussen model; plan execution; reactive behavior; uninhabited aerial vehicles; Computer architecture; Context; Humans; Inference algorithms; Knowledge representation; Planning; Valves; Intelligent agents; Knowledge modeling; Plan execution; Rule-based processing; formation; generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Agent (IA), 2011 IEEE Symposium on
Conference_Location
Paris
Print_ISBN
978-1-61284-059-8
Type
conf
DOI
10.1109/IA.2011.5953607
Filename
5953607
Link To Document