Paper Info
Title
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents
Abstract
This survey presents an overview of the autonomous development of mental capabilities in computational agents. It does so based on a characterization of cognitive systems as systems which exhibit adaptive, anticipatory, and purposive goal-directed behavior. We present a broad survey of the various paradigms of cognition, addressing cognitivist (physical symbol systems) approaches, emergent systems approaches, encompassing connectionist, dynamical, and enactive systems, and also efforts to combine the two in hybrid systems. We then review several cognitive architectures drawn from these paradigms. In each of these areas, we highlight the implications and attendant problems of adopting a developmental approach, both from phylogenetic and ontogenetic points of view. We conclude with a summary of the key architectural features that systems capable of autonomous development of mental capabilities should exhibit
Year
DOI
Venue
2007
10.1109/TEVC.2006.890274
IEEE Trans. Evolutionary Computation
Keywords
Field
DocType
cognitive systems,artificial cognitive systems,autonomous development,cognitivist approach,computational agents,emergent systems approach,mental capabilities,ontogenetic point-of-view,phylogenetic point-of-view,physical symbol systems,purposive goal-directed behavior,Artificial cognitive systems,cognitive architectures,development
Evolutionary algorithm,Cognitive science,Computer science,Software agent,Cognitivism (psychology),Autonomous system (mathematics),Artificial intelligence,Cognition,Hybrid system,Machine learning,Connectionism,Cognitive development
Journal
Volume
Issue
ISSN
11
2
1089-778X
Citations 
PageRank 
References 
135
8.65
60
Authors
3
Search Limit
100135
Name
Order
Citations
PageRank
David Vernon135226.17
Giorgio Metta22515198.59
Giulio Sandini32619479.22