Abstract | ||
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The term “Cognitive Architectures” indicates both abstract models of cognition, in natural and artificial agents, and the software instantiations of such models which are then employed in the field of Artificial Intelligence (AI). The main role of Cognitive Architectures in AI is that one of enabling the realization of artificial systems able to exhibit intelligent behavior in a general setting through a detailed analogy with the constitutive and developmental functioning and mechanisms underlying human cognition. We provide a brief overview of the status quo and the potential role that Cognitive Architectures may serve in the fields of Computational Cognitive Science and Artificial Intelligence (AI) research. |
Year | DOI | Venue |
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2018 | 10.1016/j.cogsys.2017.08.003 | Cognitive Systems Research |
Keywords | Field | DocType |
Cognitive architectures,Artificial intelligence,Autonomous systems,General artificial intelligence | Cognitive robotics,Cognitive science,Computer science,Artificial psychology,Agent architecture,Artificial general intelligence,Artificial intelligence,Cognitive model,Artificial intelligence, situated approach,Cognitive architecture,Artificial Intelligence System,Machine learning | Journal |
Volume | ISSN | Citations |
48 | 1389-0417 | 8 |
PageRank | References | Authors |
1.23 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Lieto | 1 | 200 | 29.65 |
Mehul Bhatt | 2 | 452 | 42.11 |
Alessandro Oltramari | 3 | 735 | 87.68 |
David Vernon | 4 | 352 | 26.17 |