## 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 63

A tree is a special case of a graph in which each

A tree is a special case of a graph in which each

**node**has at most one parent . A**node**in the tree having no parent ... The depth of any other**node**in the tree is defined to be the depth of its parent plus 1 . A sequence of**nodes**( nij ...Page 67

The dark arrows along certain arcs in this search graph are the pointers that define parents of

The dark arrows along certain arcs in this search graph are the pointers that define parents of

**nodes**in the search tree . The solid**nodes**are on CLOSED , and the other**nodes**are on OPEN at the time the algorithm selects**node**1 for ...Page 122

It is important to observe that failing to generate

It is important to observe that failing to generate

**nodes**B , C , and D can in no way affect what will turn out to be MAX's best first ... In this example , the search savings depended on the fact that**node**A represented a win for MIN .### 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