Artificial Cognition Architectures - by James Crowder & John N Carbone & Shelli Friess (Paperback)

About the Book

This book presents human intelligence concepts such as Metacognition and Metamemory, framed for autonomous Artificial Intelligence systems. Discussion includes architectural constructs for AI versions of brain functions like the prefrontal cortex, and more.

Book Synopsis

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

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.