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
Results 1-3 of 45
Page 208
The notions of a consistent set of substitutions and a unifying composition of substitutions are defined as follows . Suppose we have a set of substitutions , { u1 , U2 , ... , u , } . Each u , is , in turn , a set of pairs : U1 = { til ...
The notions of a consistent set of substitutions and a unifying composition of substitutions are defined as follows . Suppose we have a set of substitutions , { u1 , U2 , ... , u , } . Each u , is , in turn , a set of pairs : U1 = { til ...
Page 217
To verify the consistency of this solution graph , we compute the unifying composition of all of the substitutions labeling the match arcs in the solution graph . For Figure 6.10 , we must compute the unifying composition ...
To verify the consistency of this solution graph , we compute the unifying composition of all of the substitutions labeling the match arcs in the solution graph . For Figure 6.10 , we must compute the unifying composition ...
Page 239
For example , in Figure 6.24 , the literals S ( x , B ) and ~ S ( A , y ) are in two different partial solution graphs and their predicates unify with mgu { A / x , B / y } . Applying this mgu to S ( x , B ) yields S ( A , B ) ...
For example , in Figure 6.24 , the literals S ( x , B ) and ~ S ( A , y ) are in two different partial solution graphs and their predicates unify with mgu { A / x , B / y } . Applying this mgu to S ( x , B ) yields S ( A , B ) ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Contents
PROLOGUE | 1 |
PRODUCTION Systems and AI | 17 |
SEARCH Strategies FOR | 53 |
Copyright | |
10 other sections not shown
Other editions - View all
Common terms and phrases
8-puzzle achieve actions Adders AI production algorithm AND/OR graph applied Artificial Intelligence atomic formula backed-up value backtracking backward block breadth-first breadth-first search called chapter clause form CLEAR(C component contains control regime control strategy cost DCOMP Deleters delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule formula frame problem global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic HOLDING(A implication initial state description knowledge leaf nodes literal nodes monotone restriction negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus procedure production system prove recursive regress represent representation resolution refutation result robot problem rule applications rule-based deduction systems search graph search tree semantic network sequence shown in Figure Skolem function solution graph solve stack(A STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified unstack(C,A WORKS-IN
Bibliographic information
| Title | Principles of Artificial Intelligence |
| Author | Nils J. Nilsson |
| Edition | illustrated, reprint |
| Publisher | Morgan Kaufmann Publishers, 1986 |
| Original from | the University of Virginia |
| Digitized | 27 Jul 2009 |
| ISBN | 0934613109, 9780934613101 |
| Length | 476 pages |
| Export Citation | BiBTeX EndNote RefMan |