Stubblefield, William A. Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Benjamin-Cummings Pub Co 1992 0805347801 / 9780805347807 Reprinted edition Hardcover Fine No Jacket Book
Fine condition.Benjamin Cummings,1992.Reprinted edition.Brown hardback(very small nick/tear on the edge of the spine,two small nicks on the edges of the cover)in fine condition,no Dj.Illustrated with b/w drawings.Nice and clean pages with a small ink mark on the outer edges,crease inside the pages.Nice and clean book in fine condition.No Dj.740pp including Bibliography,author index, subject index and list of illustrations.Heavy book.
This is another paragraph Product Description: Written by a leading international consultant in AI, this book delivers a balanced and comprehensive introduction to both the principles and practical applications of Artificial Intelligence. The discussion of AI theory and development is richly illustrated with AI solutions presented in three languages--CLOS, LISP, and PROLOG. n nFrom the Back Cover n n nArtificial intelligence (AI) began as the quest to create machines that could think for themselves and (perhaps) out-think humans: the holy grail of computing! Over the years, while still exploring the mechanisms that enable thought, AI has evolved into a more pragmatic discipline. AI uses different strategies to solve the complex practical problems that present themselves wherever computing technology is applied. Also, intelligence itself is now known to be too complex to be described by any single theory - instead, a constellation of theories characterize the subject from different levels of abstraction. At the lowest levels, neural networks, genetic algorithms and other forms of computation aid understanding of adaptation, perception, embodiment, and interaction with the physical world. On a more abstract level, designers of expert systems, intelligent agents, stochastic models, and natural language understanding programs reflect the role of knowledge and social processes in creating, transmitting and sustaining knowledge. Further, logicians propose deduction, abduction, induction, truth-maintenance, and other models and modes for reasoning. n nIn this fourth edition, George Luger touches on all these levels of structures and strategies for complex problem solving, as well as conveying excitement for the study of intelligence itself. He shows how to use many different software tools and techniques for addressing the complex problems that challenge the modern computer scientist. n n n nThe trademark features of this best-selling text are: n na thorough and balanced treatment of the foundations of AI nthe combination of theoretical foundations of intelligent problem solving with the data structures and algorithms needed for implementation nexample programs written in LISP and PROLOG Putting practical applications of AI into context nunique discussion of the social and philosophical issues of AI n n n nIn addition, this thoroughly updated fourth edition includes: n nthe incorporation of more agent-based problem solving nnew material on reinforcement learning nimproved chapters on Bayesian-based inference techniques, including belief networks nmodel-based reasoning and planning examples from the NASA space program nupdated material on Natural Language Processing ncomments on the AI endeavor from r perspectives of philosophy, psychology and neuro-physiology n n n nArtificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to understand and employ the power of current AI techniques in their work.