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 .
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 .
Page 280
Applying an F - rule to a state description can be regarded as simulating the action represented by the F - rule . Simulations vary with respect to the level of detail and accuracy with which they model actions .
Applying an F - rule to a state description can be regarded as simulating the action represented by the F - rule . Simulations vary with respect to the level of detail and accuracy with which they model actions .
Page 424
Another important component of commonsense reasoning is the ability to reason about actions , processes and plans . To do so , we first need ways of representing these concepts . In the bibliographic remarks sections of chapters 7 and 8 ...
Another important component of commonsense reasoning is the ability to reason about actions , processes and plans . To do so , we first need ways of representing these concepts . In the bibliographic remarks sections of chapters 7 and 8 ...
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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 |