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 277
MODELING ROBOT ACTIONS Robot actions change one state , or configuration ,
of the world into another . We can model these actions by F - rules that change
one state description into another . One simple , but extremely useful technique ...
MODELING ROBOT ACTIONS Robot actions change one state , or configuration ,
of the world into another . We can model these actions by F - rules that change
one state description into another . One simple , but extremely useful technique ...
Page 286
Now suppose the system has just executed the first i – 1 actions of a plan
sequence . Then , in order for the remaining part of the plan ( consisting of the i -
th and subsequent actions ) to be both applicable and appropriate for achieving
the ...
Now suppose the system has just executed the first i – 1 actions of a plan
sequence . Then , in order for the remaining part of the plan ( consisting of the i -
th and subsequent actions ) to be both applicable and appropriate for achieving
the ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
9 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 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
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 |