## 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 75

The cost of a minimal cost path from node n to some particular goal node , ti , is then

The cost of a minimal cost path from node n to some particular goal node , ti , is then

**given**by k ( n , t ; ) . We let h * ( n ) be the minimum of all of the k ( n , ti ) over the entire set of goal nodes { ti ) .Page 122

We repeat part of this tree in Figure 3.11 . Suppose that search had progressed in a depth - first manner and that whenever a tip node is generated , its static evaluation is computed . Also suppose that whenever a position can be

We repeat part of this tree in Figure 3.11 . Suppose that search had progressed in a depth - first manner and that whenever a tip node is generated , its static evaluation is computed . Also suppose that whenever a position can be

**given**...Page 313

The initial state shown in Figure 7.11 is then

The initial state shown in Figure 7.11 is then

**given**by the following set of expressions : 1 POSS ( SO ) 2 HOLDS [ on ( A , D ) , SO ] 3 HOLDS ( on ( B , E ) , SO ) 4 HOLDS ( on ( C , F ) , SO ] 5 HOLDS ( clear ( A ) , SO ] 6 HOLDS ...### 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 evaluation example expression F-rule fact Figure formula function given global database 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