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Methodologies for Intelligent Systems

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Cover of 'Methodologies for Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 64 An architecture for pragmatic voice interactive systems
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    Chapter 65 A logic of relative desire
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    Chapter 66 Methodologies for data/knowledge/information engineering: Will the twain meet?
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    Chapter 67 Personal learning apprentices
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    Chapter 68 The roles of artificial intelligence in information systems
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    Chapter 69 Integrating variables and operations into rule-based forward chaining systems
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    Chapter 70 The multi-player version of minimax displays game-tree pathology
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    Chapter 71 Generalization handling in a dynamic case memory
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    Chapter 72 Knowledge based semantic query optimization
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    Chapter 73 Combining knowledge bases consisting of first order theories
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    Chapter 74 User profiles for information retrieval
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    Chapter 75 An approach to deriving object hierarchies from database schema and contents
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    Chapter 76 Multilevel interface to a distributed database system
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    Chapter 77 Efficient evaluation of linear recursions with function symbols in deductive databases
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    Chapter 78 Synthesizing efficient agents from partial programs
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    Chapter 79 Knowledge extraction from databases: Design principles of the INLEN system
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    Chapter 80 Stable model semantics for probabilistic deductive databases
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    Chapter 81 Towards implementing valuation based systems with relational databases
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    Chapter 82 On the representation of continuous causal relationships
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    Chapter 83 Process transition networks: A formal graphical knowledge representation tool
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    Chapter 84 Using normal deduction graphs in default reasoning
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    Chapter 85 A model of information sharing for fault-tolerant flexible manufacturing systems
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    Chapter 86 On interval-based temporal planning: An IQ strategy
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    Chapter 87 Percept conceptualizations and their knowledge representation schemes
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    Chapter 88 Combining time points and time intervals in a hybrid knowledge representation formalism
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    Chapter 89 An analysis of property-flow view vs individual-flow view of inheritance
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    Chapter 90 Semantic extensions to text retrieval
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    Chapter 91 Updates with equality: Beyond the Herbrand universe assumption
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    Chapter 92 Using genetic algorithms to improve the performance of classification rules produced by symbolic inductive methods
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    Chapter 93 Learning quantitative features in a symbolic environment
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    Chapter 94 Automatic acquisition of proper noun meanings
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    Chapter 95 Investigating the relationships between abduction and inverse resolution in propositional calculus
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    Chapter 96 Explanation-based learning helps acquire knowledge from natural language texts
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    Chapter 97 Hybrid pattern recognition system capable of self-modification
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    Chapter 98 Towards an adaptive information retrieval system
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    Chapter 99 Improving the comprehensibility, accuracy, and generality of reactive plans
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    Chapter 100 On the unknown attribute values in learning from examples
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    Chapter 101 A new system for inductive learning in attribute-based spaces
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    Chapter 102 Generation of classification rules
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    Chapter 103 Distance metrics for instance-based learning
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    Chapter 104 A study of crossover operators in genetic programming
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    Chapter 105 Input understanding as a basis for multistrategy task-adaptive learning
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    Chapter 106 Automated discovery of empirical equations from data
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    Chapter 107 Constructing models of hidden structure
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    Chapter 108 Amalgamated logic programming and non-monotonic reasoning
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    Chapter 109 WF 3 : A semantics for negation in normal disjunctive logic programs
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    Chapter 110 Representation of mathematical knowledge
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    Chapter 111 Graded logics: A framework for uncertain and defeasible knowledge
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    Chapter 112 The strong semantics for logic programs
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    Chapter 113 Static Parallel Arc Consistency in constraint satisfaction
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    Chapter 114 Towards a theory of inductive logic programming
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    Chapter 115 Another view of autoepistemic logic and truth maintenance system
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    Chapter 116 Dynamic autoepistemic logic
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    Chapter 117 Nonmonotonic temporal reasoning: Persistence, justified causation and event minimization
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    Chapter 118 Novelty revisited
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    Chapter 119 Typicality constants and range defaults: Some pros and cons of a cognitive model of default reasoning
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    Chapter 120 Resolution and path dissolution in multiple-valued logics
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    Chapter 121 How well are non-horn clauses handled?
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    Chapter 122 Fully deadline-coupled planning: One step at a time
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    Chapter 123 Completeness for propositional logic programs with negation
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    Chapter 124 Disjunctive logic programs and constraint processing
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    Chapter 125 Note on resolution circuits
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    Chapter 126 A semantic analysis of monotonic inheritance with roles and relations
Overall attention for this book and its chapters
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Title
Methodologies for Intelligent Systems
Published by
Springer Science & Business Media, September 1991
DOI 10.1007/3-540-54563-8
ISBNs
978-3-54-054563-7, 978-3-54-038466-3
Editors

Ras, Zbigniew W., Zemankova, Maria

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The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 2 100%