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Artificial Cognition Architectures

Autor James Crowder, John N. Carbone, Shelli Friess
en Limba Engleză Hardback – 11 aug 2013
The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like 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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Specificații

ISBN-13: 9781461480716
ISBN-10: 146148071X
Pagini: 280
Ilustrații: XVI, 263 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.68 kg
Ediția:2014
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Professional/practitioner

Cuprins

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.

Notă biografică

James A. Crowder, PhD is Chief Engineer, Advanced Programs at Raytheon.
John N. Carbone, PhD is Technical Director, Tactical Intelligence Systems & Enterprise Group at Raytheon.
Shelli A. Friess, MA, NCC is a psychotherapist with a private practice.        

Textul de pe ultima copertă

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.

Caracteristici

Presents basic human intelligence concepts framed for artificial intelligence systems
Examines the concepts of metacognition and metamemory,
Discusses architectural constructs for artificial intelligence systems
Includes supplementary material: sn.pub/extras