In this textbook the author endeavors to cover the large and growing field of AI in some detail. While there are books that examine and discuss global perspectives on AI, they make no attempt to cover the diversity of theories and programs. This new volume provides a global perspective, but in conjunction with an exhaustive survey of the field. It covers all recognized AI work in sufficient detail to allow a critique from general concerns to be anchored, whenever possible, in the structure of specific AI programs. It can be used as a supplement to other AI texts, providing broader perspectives on the wealth of details that such texts contain. It can also be considered as a companion to the current AI literature for it is only in conference proceedings and journals that these up-to-date details usually are found.
• AI: What is it?
• AI and the Science of Computer Usage: The Forging of a Methodology
• The Major Paradigms
• The Babel of AI Languages
• Current Expert Systems Technology (CEST)
• Knowledge Representation: A Problem of Both Structure and Function
• Vision: Seeing is Perceiving
• Language Processing: What You Hear is What you Are
• Learning to Do it Right
• Foundations of AI: can we find any?
• Prognostications, or W9h)ither AI?
• Author Index
• Subject Index
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