DocumentCode
3010827
Title
Algebraic interval constraint driven exploration in human-agent collaborative problem solving
Author
Wang, Yan
Author_Institution
Central Florida Univ., Orlando
fYear
2007
fDate
20-23 June 2007
Firstpage
218
Lastpage
223
Abstract
To enable effective human-agent collaboration, new human-centric computing paradigms are needed. This paper presents a soft constraint representation scheme based on generalized intervals. With logically quantified intervals, semantics and intent can be integrated in numerical computing. The interpretable numerical results allow for better human-agent communication.
Keywords
algebra; human computer interaction; knowledge representation; mobile agents; problem solving; algebraic interval constraint driven exploration; human-agent collaborative problem solving; human-centric computing paradigms; numerical computing; soft constraint representation scheme; Collaboration; Collaborative work; Computational intelligence; Fuzzy logic; Government; Human robot interaction; Information representation; Logic functions; Robotics and automation; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on
Conference_Location
Jacksonville, FI
Print_ISBN
1-4244-0790-7
Electronic_ISBN
1-4244-0790-7
Type
conf
DOI
10.1109/CIRA.2007.382872
Filename
4269872
Link To Document