Artificial Cognition Architectures

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Springer Science & Business Media, Aug 13, 2013 - Technology & Engineering - 263 pages
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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Contents

Introduction
1
The Information Continuum
11
The Psychology of Artificial Intelligence
17
Cognitive Intelligence and the Brain Synthesizing Human Brain Functions
27
Artificial Memory Systems
53
Artificial Consciousness
79
Learning in an Artificial Cognitive System
109
Synthetic Reasoning
135
Artificial Cognitive Software Architectures
203
SELF Physical Architectures
223
Cyber Security Within a Cognitive Architecture
229
Conclusions and Next Steps
243
Acronyms
249
References
251
Index
260
Copyright

Artificial Cognitive System Architectures
173

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About the author (2013)

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.

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