DocumentCode
2101546
Title
Cognitive robots: perceptual associative memory and learning
Author
Franklin, Stan
Author_Institution
Comput. Sci. Div. & Inst. for Intelligent Syst., Memphis Univ., TN, USA
fYear
2005
fDate
13-15 Aug. 2005
Firstpage
427
Lastpage
433
Abstract
In this position paper we attempt to derive an architecture and mechanism for perceptual associative memory and learning for software agents and cognitive robots from what is known, or believed, about the same faculties in human and other animal cognition. Based on that of the IDA model of global workspace theory, a conceptual and computational model of cognition, this architecture, together with its mechanisms, offers the real possibility of autonomous software agents and cognitive robots learning their own ontologies during a developmental period. Thus the onerous chore of designing and implementing such an ontology can be avoided.
Keywords
cognitive systems; learning (artificial intelligence); ontologies (artificial intelligence); robots; software agents; cognitive robots; global workspace theory; learning; ontologies; perceptual associative memory; software agents; Animals; Arm; Associative memory; Cognition; Cognitive robotics; Computational modeling; Humans; Intelligent robots; Rats; Software agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Interactive Communication, 2005. ROMAN 2005. IEEE International Workshop on
Print_ISBN
0-7803-9274-4
Type
conf
DOI
10.1109/ROMAN.2005.1513816
Filename
1513816
Link To Document