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Artificial Cognition Architectures [electronic resource] / by James A. Crowder, John N. Carbone, Shelli A. Friess.

By: Crowder, James A [author.].
Contributor(s): Carbone, John N [author.] | Friess, Shelli A [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York : Imprint: Springer, 2014Description: XVI, 263 p. 124 illus., 10 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461480723.Subject(s): Engineering | Artificial intelligence | Telecommunication | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Communications Engineering, NetworksDDC classification: 006.3 Online resources: Click here to access online
Contents:
Introduction -- The Information Continuum -- The Psychology of Artificial Intelligence -- Cognitive Intelligence and the Brain: Synthesizing Human Brain Functions -- Artificial Memory Systems -- Artificial Consciousness -- Learning in an Artificial Cognitive System -- Synthetic Reasoning -- Artificial Cognitive System Architectures -- Artificial Cognitive Software Architectures -- SELF Physical Architectures -- Cyber Security within a Cognitive Architecture -- Conclusions and Next Steps.
In: Springer eBooksSummary: This book establishes the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented are some basic human intelligence concepts framed for Artificial Intelligence systems. These concepts include Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution.
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Introduction -- The Information Continuum -- The Psychology of Artificial Intelligence -- Cognitive Intelligence and the Brain: Synthesizing Human Brain Functions -- Artificial Memory Systems -- Artificial Consciousness -- Learning in an Artificial Cognitive System -- Synthetic Reasoning -- Artificial Cognitive System Architectures -- Artificial Cognitive Software Architectures -- SELF Physical Architectures -- Cyber Security within a Cognitive Architecture -- Conclusions and Next Steps.

This book establishes the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented are some basic human intelligence concepts framed for Artificial Intelligence systems. These concepts include Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution.

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