Principles of Artificial IntelligenceA 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. |
From inside the book
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... rules simultaneously. Various kinds of graph structures and graph searching procedures are used in this type of ... production systems expected to solve problems requiring search. Trial-and-error methods seem to be inherent in solving puzzles ...
... production system selects the corresponding rule. In Figure 1.2 we show the sequence of states traversed by such a ... rules permits an increase in the value of our function, a rule is selected (arbitrarily) that does not diminish the value.
... rule selection in irrevocable production systems is quite limited. Even though the control strategy cannot always select the best rule to apply at any stage, there are times where an irrevocable regime is appropriate. For example, if ...
... rules can be selected according to some arbitrary scheme. Ultimately ... production system. We cannot depict the entire search for a solution in the ... rules. We will be discussing these structures in much more detail in chapters 2 and 3 ...
... rules without reaching a goal, SO, etc. This state occurs on the path back ... rules without reaching the goal, so we retract the last move. There are no more untried rules to apply to the previous State (number ) ... PRODUCTION SYSTEMS AND AI.
Contents
1 | |
17 | |
53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |