Principles of Artificial Intelligence
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
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... achieve any one of an explicit list of problem states . A further generalization is to specify some true / false condition on states to serve as a goal condition . Then the goal would be to achieve any state satisfying this condition ...
... achieve goals have all operated on " one level . " When working backward , for example , we investigated ways to achieve the goal condition and then to achieve all of the subgoals , and so on . In many practical situations , we might ...
... achieve- ment of the former can be postponed until most of the plan is developed . The general idea is that plan synthesis should occur in stages , dealing with the highest level conditions first . Once a plan has been developed to achieve ...
PRODUCTION Systems and AI
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