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Artificial Cognition Architectures / by James A. Crowder, John N. Carbone, Shelli A. Friess.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: New York, NY : Springer New York : Imprint: Springer, 2014Descripción: xvI, 263 páginas 124 ilustraciones, 10 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9781461480723
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q342
Recursos en línea:
Contenidos:
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.
Resumen: 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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Springer eBooks

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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