## 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 Intelligence evolved 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 107

A breadth - first algorithm can be

A breadth - first algorithm can be

**obtained**from AO * by using h = 0 . Because such an h function satisfies the monotone restriction ( and is a lower bound on h * ) , the breadth - first algorithm using it is admissible .Page 151

With { l ; } = { P ( x , f ( A ) ] } and { mi } resolvent { ~ P [ 2 , f ( A ) ] } , we

With { l ; } = { P ( x , f ( A ) ] } and { mi } resolvent { ~ P [ 2 , f ( A ) ] } , we

**obtain**the P [ 2 , f ( y ) ] V ~ Q ( 2 ) ... Three of these are**obtained**by resolving on P and one by resolving on Q. It is not difficult to show that ...Page 176

If the question can be answered from the facts given , the goal wff created in this manner will logically follow from S. After

If the question can be answered from the facts given , the goal wff created in this manner will logically follow from S. After

**obtaining**a proof , we then try to extract an instance of the existentially quantified variable to serve as ...### What people are saying - Write a review

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achieve actions algorithm AND/OR graph answer applied arcs assertions assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database Deleters described direction discussed efficient evaluation example expanded 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 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 search tree selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination unifying unit universal variables