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College of Business book review by David Coffee Title: “Artificial Intelligence: A Beginner’s Guide” Author: Blay Whitby Publisher: ONEWORLD Oxford Length: 144 pages Price: $15.95 Reading Time: 8 hours Reading Rating: 4 (1 = very difficult; 10 = very easy) Overall rating: 4 (1 = average; 4 = outstanding) Blay Whitby, a lecturer in Cognitive Science and Artificial Intelligence at the University of Sussex, England has done a wonderful job of making the elusive and sometimes mysterious and intriguing field of Artificial Intelligence understandable to those of us with only a minimal computer background. In his book, “Artificial Intelligence: A Beginner’s Guide,” Whitby describes the numerous approaches used in creating intelligence in machines and consistently provides understandable concrete examples to illustrate what is often rather complex and abstract ideas. Artificial Intelligence (AI) is the study of intelligent behavior in humans, animals, and machines and the attempt to find ways in which such behavior could be engineered in any type of artifact. Whitby succeeds in explaining Artificial Intelligence and the excitement around it in a non-technical and to the extent possible, a jargon-free discussion. Artificial Intelligence is one of the most – possibly the most- exciting challenges that humanity has ever undertaken. But Whitby manages to present it without the hype and bias so often accompanying an area where myths lurk everywhere and misunderstanding and unrealistic expectations are all to prevalent. Whitby provides remarkably clear examples of the different approaches to AI. The book builds in the reader a basic and elementary understanding of AI techniques of heuristic search-based methods, constraint-based reasoning, knowledge-based expert systems, neural networks, data mining, genetic algorithms, and behavior-based robotics. Did I say jargon free? AI is a broad field with many competing approaches. These different approaches have both great potential and imposing limitations, but each has demonstrated success in real world applications. A computer (Deep Blue) beat Gary Kasparov in chess in 1997 using heuristic search; NASA relies heavily on AI to schedule the sequence of events leading to a shuttle launch, using constraint-based reasoning; Stanford Medical School uses a program MYCIN, based on a knowledge-based expert system to make medical diagnosis; American Express uses Authorizer’s Assistant, based on a knowledgebased system to assist in loan decisions. Examples of successful applications litter the chapters of Whitby’s book. But the real fascination of the book is in its candid appraisal of the limitations of AI as well as its potential. To understand the limitations, Whitby looks at human intelligence and how complex it is and how little we understand about how humans think and reach conclusions. Indeed AI based research has specifically illustrated and magnified how very little we understand about human intelligence. Human thought is believed to be conducted through neurons firing in the brain, passing impulses from one to another when certain thresholds are exceeded. While an area of AI, neural nets, attempts to crudely model this using inputs, nodes, and outputs, the complexity of the human brain with its billions of neurons and its chemical and electrical processes remains essentially a black box. We understand very little of it and our inability to even try to model this process on a digital computer has created the myth that AI is a failure. Whitby concludes that at the moment we know so little about human intelligence, other than it is truly wonderful, that this is unlikely to help in the development of AI. This leads some people to conclude that what is being talked about is not intelligence at all. “Either its just like me or it’s just a machine following instructions.” The reality is that AI is a very young science. It is progressing at a rapid pace and it already has leveraged human intelligence and will leverage it exponentially in the future. How? Whitby’s speculation is exciting. The book is well worth reading to find out. David Coffee is an associate professor of accounting in the College of Business at Western Carolina University. For previously reviewed books visit our Web site at www.wcu.edu/cob/.