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 155
have a “ robot - type " problem in which the system must find a sequence of robot
actions that change a configuration of blocks . We can specify the goal by a wff
that describes the set of states acceptable as goal states . Referring to Figure 4 .
have a “ robot - type " problem in which the system must find a sequence of robot
actions that change a configuration of blocks . We can specify the goal by a wff
that describes the set of states acceptable as goal states . Referring to Figure 4 .
Page 276
As an example , consider the robot hand and configuration of blocks shown in
Figure 7 . 1 . This situation can be represented by the conjunction of formulas
shown in the figure . The formula CLEAR ( B ) means that block B has a clear top
; that ...
As an example , consider the robot hand and configuration of blocks shown in
Figure 7 . 1 . This situation can be represented by the conjunction of formulas
shown in the figure . The formula CLEAR ( B ) means that block B has a clear top
; that ...
Page 310
For example , we need the following assertion to express that the blocks that are
not moved stay in the same position ... state that block u remains clear if block u is
clear when a block v ( not equal to u ) is put on a block w ( not equal to u ) .
For example , we need the following assertion to express that the blocks that are
not moved stay in the same position ... state that block u remains clear if block u is
clear when a block v ( not equal to u ) is put on a block w ( not equal to u ) .
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Contents
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
SEARCH STRATEGIES FOR DECOMPOSABLE | 99 |
Copyright | |
10 other sections not shown
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Common terms and phrases
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 goal 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 search tree selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem tree unifying unit University variables
Bibliographic information
| Title | Principles of Artificial Intelligence Symbolic computation |
| Author | Nils J. Nilsson |
| Edition | illustrated |
| Publisher | Tioga Publishing Company, 1980 |
| Original from | the University of Michigan |
| Digitized | 15 Nov 2007 |
| ISBN | 0935382011, 9780935382013 |
| Length | 476 pages |
| Export Citation | BiBTeX EndNote RefMan |