This project is a modern introduction to AI suitable for both students and those wishing to gain a practical understanding of AI for use in their work. It describes the background history to AI, clarifies what the goals of AI are, and assesses current technology.
There has been significant growth in real-world applications in recent years, e.g. detection of credit card fraud, building robots for industrial tasks and entertainment, securing networks from hackers, making characters in computer games behave more human like. This book introduces the techniques used in these real-world applications.
All chapters include a range of exercises and suggested project work. Website support and an on-line solutions manual will also be available.
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'As the field of research that defines mans attempt to mechanise human reasoning processes has evolved, matured and expanded over the latter half of the 20th century, the corpus of work that seek to define the subject has literally exploded. Yet at the start of the new millennia Callan's scholarship in Artificial Intelligence stands apart from its competitors - both in terms of the breadth of his scope and the clarity of his exposition. The text not only offers a comprehensive survey of the significant themes of AI, together with example application areas, but refreshingly also discusses the fundamental philosophical issues currently challenging the subject. In summary, Artificial Intelligence is quite simply the best general introduction to the subject available.' - Dr Mark Bishop, Department of Cybernetics, University of Reading
About Rob Callan
ROB CALLAN is a Technical Consultant specialising in artificial intelligence and pattern recognition. This will be his fourth book and his third major textbook, having previously written for Prentice Hall, Letts and OUP. He lectured in artificial intelligence for a number of years before returning to the aerospace industry.
Table of Contents
Preface.- PART ONE: INTRODUCTION Introduction.- PART TWO: LOGIC AND SEARCH Logic .- Search.- Automating Logical Reasoning.- PART THREE: UNCERTAINTY Bayesian Networks I.- Bayesian Networks II.- Other Approaches to Uncertainty.- PART FOUR: DECIDING ON ACTIONS Decision Networks Planning I.- Planning II.- PART FIVE: LEARNING Introduction to Learning.- Decision Tree Learning.- Inductive Logic Programming.- Reinforcement Learning.- Neural Networks I.- Neural Networks II.- Genetic Algorithms.- PART SIX: NATURAL LANGUAGE UNDERSTANDING AND PERCEPTION Natural Language Processing I.- Natural Language Processing II.- Speech Processing.- Vision.- PART SEVEN: AGENTS, PHILOSOPHY AND APPLICATIONS Agents.- Philosophy of AI.- Some Applications of AI.- Appendix A A Quick Tour of Prolog.- Bibliography.- Index.
Artificial Intelligence by Rob Callan
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