title
...ooks at the problems involved in producing the kind of general purpose intelligence found in human beings who have to deal with the real world. The structure of the book starts at the low levels of vision and mathematical methods of pattern recognition and moves on to the higher levels of problem solving and natural language processing. At the higher levels you need more complex architectures that include methods for structuring thoughts. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. First, it pays extra attention to the new ideas in AI: neural networking, case based reasoning and memory based reasoning while including the important aspects of traditional symbol processing AI. As much as possible these methods are compared with each other so that the reader will see the advantages and disadvantages of each method. Second, the new and traditional methods are presented as different ways of doing pattern recognition giving unity to the subject matter. Third, rather than treating AI as just a collection of advanced algorithms it also looks at the problems involved in producing the kind of general purpose intelligence found in human beings who have to deal with the real world. The structure of the book starts at the low levels of vision and mathematical methods of pattern recognition and moves on to the higher levels of problem solving and natural language processing. At the higher levels you need more complex architectures that include methods for structuring thoughts. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. First, it pays extra attention to the new ideas in AI: neural networking, case based reasoning and memory based reasoning while including the important aspects of traditional symbol processing AI. As much as possible these methods are compared with each other so that the reader will see the advantages and disadvantages of each method. Second, the new and traditional methods are presented as different ways of doing pattern recognition giving unity to the subject matter. Third, rather than treating AI as just a collection of advanced algorithms it also looks at the problems involved in producing the kind of general purpose intelligence found in human beings who have to deal with the real world. The structure of the book starts at the low levels of vision and mathematical methods of pattern recognition and moves on to the higher levels of problem solving and natural language processing. At the higher levels you need more complex architectures that include methods for structuring thoughts. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. First, it pays extra attention to the new ideas in AI: neural networking, case based reasoning and memory based reasoning while including the important aspects of traditional symbol processing AI. As much as possible these methods are compared with each other so that the reader will see the advantages and disadvantages of each method. Second, the new and traditional methods are presented as different ways of doing pattern recognition giving unity to the subject matter. Third, rather than treating AI as just a collection of advanced algorithms it also look...