
Artificial Cognition Architectures Softcover reprint of the original 1st ed. 2014 Edition
Author(s): James A. Crowder (Author), John N. Carbone (Editor), Shelli Friess (Editor)
- Publisher: Springer
- Publication Date: August 23, 2015
- Edition: Softcover reprint of the original 1st ed. 2014
- Language: English
- Print length: 279 pages
- ISBN-10: 148998903X
- ISBN-13: 9781489989031
Book Description
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
Editorial Reviews
From the Back Cover
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.
About the Author
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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