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Associative Networks
Representation and Use of Knowledge by Computers
- 1st Edition - May 10, 2014
- Editor: Nicholas V. Findler
- Language: English
- Paperback ISBN:9 7 8 - 1 - 4 8 3 2 - 3 8 7 7 - 7
- eBook ISBN:9 7 8 - 1 - 4 8 3 2 - 6 3 0 1 - 4
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… Read more
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Request a sales quoteAssociative 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.
List of Contributors
Foreword
Preface
Part 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
References
Part 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
References
Part 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. Discussion and Conclusions
References
On Representing Commonsense Knowledge
Introduction
I. What Is Commonsense Knowledge?
II. What Is Representing Knowledge?
III. Design Features of Commonsense Representations
IV. Partial Order
V. Route Description
VI. Conclusion
References
Representations to Aid Distributed Understanding in a Multiprogram System
1. Background
2. The Yale Artificial Intelligence Project
3. Choosing Responses
4. Distributed Understanding
5. Processing Notes
6. Discussion
7. Conclusion
References
Five Aspects of a Full-Scale Story Comprehension Model
1. Introduction
2. Parsing: A New Model
3. Meaning Representation of Language and Inference
4. Reference
5. Inference and Inference Conditioning
6. Predictions and Pattern Matching
7. Summary and Conclusion
References
- No. of pages: 480
- Language: English
- Edition: 1
- Published: May 10, 2014
- Imprint: Academic Press
- Paperback ISBN: 9781483238777
- eBook ISBN: 9781483263014