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Conceptual Structures: Logical, Linguistic, and Computational Issues : 8th International Conference on Conceptual Structures, ICCS 2000 Darmstadt, Germany, August 14-18, 2000 Proceedings / edited by Bernhard Ganter, Guy W. Mineau.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Ganter, Bernhard, editor.
Mineau, Guy W., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 1867.
Lecture Notes in Artificial Intelligence ; 1867
Language:
English
Subjects (All):
Artificial intelligence.
Computers.
Computer science--Mathematics.
Computer science.
Logic, Symbolic and mathematical.
Algorithms.
Artificial Intelligence.
Theory of Computation.
Discrete Mathematics in Computer Science.
Mathematical Logic and Formal Languages.
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Local Subjects:
Artificial Intelligence.
Theory of Computation.
Discrete Mathematics in Computer Science.
Mathematical Logic and Formal Languages.
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Physical Description:
1 online resource (XII, 576 pages).
Edition:
First edition 2000.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
System Details:
text file PDF
Summary:
Computerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, et cetera, and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems), virtual reality models (object systems, agent systems), probabilistic m- els(Bayesiannets,fuzzylogic),linguisticmodels(conceptualdependencygraphs, language-based representations), et cetera OneofthestrengthsoftheConceptualGraph(CG)theoryisitsversatilityin terms of the representation paradigms under which it falls. It can be viewed and therefore used, under di?erent representation paradigms, which makes it a p- ular choice for a wealth of applications. Its full coupling with di?erent cognitive processes lead to the opening of the ?eld toward related research communities such as the Description Logic, Formal Concept Analysis, and Computational Linguistic communities. We now see more and more research results from one community enrich the other, laying the foundations of common philosophical grounds from which a successful synergy can emerge.
Contents:
Concepts and Language
The Role of Conceptual Structure in Human Evolution
Concepts in Linguistics - Concepts in Natural Language
Patterns, Schemata, and Types - Author Support through Formalized Experience
Conventions and Notations for Knowledge Representation and Retrieval
Conceptual Ontology
Ontology, Metadata, and Semiotics
Pragmatically Yours,
Conceptual Modeling for Distributed Ontology Environments
Discovery of Class Relations in Exception Structured Knowledge Bases
Conceptual Graphs: Perspectives
CGs Applications : Where Are We 7 Years after the First ICCS?
The Engineering of a CG-Based System: Fundamental Issues
Conceptual Graphs, Metamodeling, and Notation of Concepts
Knowledge Representation and Reasonings Based on Graph Homomorphism
User Modelling Using Conceptual Graphs for Intelligent Agents
Towards a Unified Querying System of Both Structured and Semi-structured Imprecise Data Using Fuzzy View
Formal Semantics of Conceptual Structures
The Extensional Semantics of the Conceptual Graph Formalism
Semantics of Attribute Relations in Conceptual Graphs
Nested Concept Graphs and Triadic Power Context Families
Negations in Simple Concept Graphs
Extending the CG Model by Simulations
Contextual Logic and Formal Concept Analysis
Building and Structuring Description Logic Knowledge Bases Using Least Common Subsumers and Concept Analysis
On the Contextual Logic of Ordinal Data
Boolean Concept Logic
Lattices of Triadic Concept Graphs
Formalizing Hypotheses with Concepts
Generalized Formal Concept Analysis
A Logical Generalizationof Formal Concept Analysis
On the Treatment of Incomplete Knowledge in Formal Concept Analysis
Conceptual Structures in Practice
Logic-Based Networks: Concept Graphs and Conceptual Structures
Conceptual Knowledge Discovery and Data Analysis
CEM - A Conceptual Email Manager
A Contextual-Logic Extension of TOSCANA
A Conceptual Graph Model for W3C Resource Description Framework
Computational Aspects of Conceptual Structures
Computing with Conceptual Structures
Symmetry and the Computation of Conceptual Structures
An Introduction to SNePS 3
Composition Norm Dynamics Calculation with Conceptual Graphs
From PROLOG++ to PROLOG+CG: A CG Object-Oriented Logic Programming Language
A Cost-Bounded Algorithm to Control Events Generalization.
Other Format:
Printed edition:
ISBN:
978-3-540-44663-7
9783540446637
Access Restriction:
Restricted for use by site license.

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