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Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.
Language
Place of publication
Publishing group
Elsevier Science & Techn.
ISBN-13
978-1-4832-6301-4 (9781483263014)
Schweitzer Classification
¿List of ContributorsForewordPrefacePart I Overview and General Systems On the Epistemological Status of Semantic Networks Introduction 1. A Look at the Evolution of Semantic Networks 2. "One Man's Ceiling Is Another Man's Floor" 3. An Epistemologically Explicit Representation Conclusions References Encoding Knowledge in Partitioned Networks I. Introduction II. Background and Motivation III. Basic Network Notions IV. Partitioning V. Structures for Logical Deduction VI. Inheriting Information VII. Structures for Judgmental Reasoning VIII. Structures for Reasoning About Processes IX. Structures for Natural Language Understanding X. Linearized Net Notation XI. Implementation XII. Conclusion References A Procedural Semantics for Semantic Networks 1. Introduction 2. Components 3. Organization 4. Metaclasses 5. Inheritance 6. Programs 7. Conclusions References The Structure and Organization of a Semantic Net for Comprehension and Inference 1. Introduction 2. A Comprehensive Network Formalism 3. Network Form and Content 4. Organizing Propositions for Inference 5. Implementations 6. Concluding Discussion ReferencesPart II Theoretically Oriented Efforts The SNePS Semantic Network Processing System 1. Introduction 2. Basic Representation 3. Inference 4. Parsing and Generating 5. An Example Application-Clue 6. Summary References A Predicate Calculus Based Semantic Network for Deductive Searching 1. Introduction 2. Semantic Categories 3. The Representation of Semantics-The Semantic Network 4. Semantic Unification 5. An Illustrative Example 6. Related Work in Semantic Networks 7. Summary References Making Preferences More Active Introduction 1. A Brief Recap of the Processes of the Preference Semantics System 2. Preference-Breaking Already Accommodated in the System 3. Pseudotexts: A Simple Projection System 4. Some Control Issues 5. An Environment for Implementing These Suggestions 6. Relation to Other Systems 7. Discussion References Extensional Semantic Networks: Their Representation, Application, and Generation Introduction 1. Concepts and Relations 2. Extensional Semantic Networks 3. Applicability of ESNs 4. Automatic Generation of Semantic Networks 5. Conclusion ReferencesPart III Areas of Application A Heuristic Information Retrieval System Based on Associative Networks 1. Introduction 2. On Some Preliminary Work 3. Design Principles of IRUHS-1 4. System Description 5. Overview and Final Comments Appendix References Re: The Gettysburg Address Representing Social and Political Acts 1. Introduction 2. Triangles 3. Social ACTs 4. Progress: Static Descriptions 5. Relationships Between Authorities and Their Constituents 6. The Gettysburg Address 7. The Use of Triangles 8. Conclusion Appendix-Conceptual Dependency Notation References Rule Forms for Verse, Sentences, and Story Trees 1. Introduction 2. POGEN for Sense and Nonsense 3. From Sentence to Network to Sentence 4. Story Trees 5. Computational Aspects of Semantic Networks and Story Trees 6. Some Rules for Story Trees 7. An Interpreter for Story Grammars 8.