## 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. |

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Page 80

Thus , A , always expands at least as many nodes as does the more informed Ag . We

Thus , A , always expands at least as many nodes as does the more informed Ag . We

**prove**this result using induction on the depth of a node in the A ...Page 249

We will be using this rule as a B - rule to

We will be using this rule as a B - rule to

**prove**C3 . Such a use creates the subgoal of**proving**[ ( ACI ) C2 ) . We elect to**prove**this subgoal by**proving**...Page 411

If both of the delineations in Figure 9.28 were marked simply as defaults , for example , we would be at an impasse : We could

If both of the delineations in Figure 9.28 were marked simply as defaults , for example , we would be at an impasse : We could

**prove**that Clyde was gray ...### What people are saying - Write a review

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achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed efficient evaluation example expression F-rule fact Figure formula function given goal goal node goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables