Artificial Cognition Architectures

Detalles Bibliográficos
Autor Principal: Crowder, James A.
Otros autores o Colaboradores: Carbone, John N., Friess, Shelli A.
Formato: Libro
Lengua:inglés
Datos de publicación: New York, NY : Springer New York : Imprint: Springer, 2014.
Temas:
Engineering.
Computational intelligence.
Electrical engineering.
Artificial Intelligence (incl. Robotics).
Communications Engineering, Networks.
Acceso en línea:http://dx.doi.org/10.1007/978-1-4614-8072-3
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.
Descripción Física:xvi, 263 p. :
ISBN:9781461480723
DOI:10.1007/978-1-4614-8072-3
Tabla de 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.

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