Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven?

Author:   Roland Hausser
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031227387


Pages:   258
Publication Date:   04 January 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven?


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Author:   Roland Hausser
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.582kg
ISBN:  

9783031227387


ISBN 10:   3031227387
Pages:   258
Publication Date:   04 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 1.1 Ontology 1.2 Computational Cognition1.3 Agent-Based Data-Driven vs. Sign-Based Substitution-Driven 1.4 Reconciling the Hierarchical and the Linear 1.5 Speak Mode Converts Hierarchy into Linear Surface 1.6 Hear Mode Re-Converts Linear Input into Hierarchical Output 1.7 Derivation Order 1.8 Type Transparency 1.9 Four Kinds of Type-Token Relations 1.10 Conclusion 2. Laboratory Set-up of Database Semantics 2.1 Early Times 2.2 Study of the Language Signs 2.3 Using Successful Communication for the Laboratory Set-Up 2.4 From Operational Implementation to Declarative Specification 2.5 Formal Fragments of Natural Language 2.6 Incremental Upscaling Cycles 2.7 Conclusion 3. Outline of DBS 3.1 Building Content in the Agent’s Hear Mode3.2 Storage and Retrieval of Content in the On-Board Memory 3.3 Speak Mode Riding Piggyback on the Think Mode 3.4 Component Structure of Cognition 3.5 Sensory Media, Processing Media, and Their Modalities 3.6 Reference as a Purely Cognitive Process 3.7 Grounding 3.8 Conclusion 4. Software Mechanisms of the Content Kinds 4.1 Apparent Terminological Redundancy4.2 Restriction of Figurative Use to Concepts 4.3 Additional Constraint on Figurative Use 4.4 Declarative Specification Of Concepts for Recognition 4.5 Declarative Specification of Concepts for Action4.6 Indirect Grounding of Indexicals and Names 4.7 Conclusion 5. Comparison of Coordination and Gapping 5.1 Coordination of Elementary Adnominals 5.2 Coordination of Phrasal Adnominal Modifiers 5.3 Coordination of Phrasal Adverbial Modifiers 5.4 Coordination of Elementary Nouns as Subject 5.5 Intra- and Extrapropositional Verb Coordination 5.6 Extrasentential Coordination 5.7 Quasi Coordination in Subject Gapping 5.8 Quasi Coordination in Predicate Gapping 5.9 Quasi Coordination in Object Gapping 5.10 Conclusion 6. Are Iterating Slot-Filler Structures Universal? 6.1 Language and Thought 6.2 Slot-Filler Iteration 6.3 Marked Slot-Filler Repetition in Infinitives6.4 Marked Slot-Filler Repetition in Object Clauses 6.5 Marked Slot-Filler Repetition in Adnominal Clauses 6.6 Unmarked Slot-Filler Iteration in Gapping Constructions 6.7 Long-Distance Dependency 6.8 Conclusion 7. Computational Pragmatics7.1 Four Kinds of Content in DBS 7.2 Coactivation Resulting in Resonating Content 7.3 Literal Pragmatics of Adjusting Perspective7.4 Nonliteral Pragmatics of Syntactic Mood Adaptation 7.5 Nonliteral Pragmatics of Figurative Use7.6 Conclusion8. Discontinuous Structures in DBS and PSG8.1 The Time-Linear Structure of Natural Language 8.2 Constituent Structure Paradox of PSG8.3 Suspension in Database Semantics 8.4 Discontinuity with and without Suspension in DBS 8.5 Conclusion 9. Classical Syllogisms as Computational Inferences 9.1 Logical vs. Common Sense Reasoning9.2 Categorical Syllogisms 9.3 Modus Ponendo Ponens 9.4 Modus Tollendo Tollens 9.5 Modi BARBARA and CELARENT9.6 Modi DARII and FERIO 9.7 Modi BAROCO and BOCARDO 9.8 Combining S- and C-Inferencing 9.9 Analogy 9.10 Conclusion 10. Grounding of Concepts in Science 10.1 The Place of Concepts in a Content 10.2 Definition of Concepts at the Elementary, Phrasal, or Clausal Level? 10.3 Extending a Concept to its Class 10.4 Language Communication10.5 Combining Concepts into Content 10.6 Language Surfaces and Meaning_1 Concepts in Communication 10.7 Extero- and Interoception 10.8 Emotion 10.9 Conclusion 11. Function Words 11.1 Introduction11.2 Interpreting Determiner Noun Combination in Hear Mode 11.3 Producing Determiner Noun Combination in Speak Mode 11.4 Prepositional Phrases11.5 Auxiliaries 11.6 Subordinating Conjunctions 11.7 Coordinating Conjunctions 11.8 Conclusion 12. Language vs. Nonlanguage Cognition 12.1 Building Blocks and Relations of Cognition 12.2 Example of a Content 12.3 Content as Input to the Speak Mode 12.4 Content as Output of the Hear Mode 12.5 Nonlanguage Cognition Provides Place Holder Values 12.6 Function Word Absorbs Content Word12.7 Type-Token Matching in Recognition and Action 12.8 Language Communication 12.9 Conclusion 13. Grammatical Disambiguation 13.1 Degrees of Computational Complexity 13.2 Orthogonal LAG and PSG Complexity Hierarchies 13.3 Comparing Explicitly Defined Examples in PSG and DBS 13.4 Sub-Hierarchy of C1, C2, and C3 Lags13.5 Applying LAG to Natural Language 13.6 From LAG to the Hear Mode 13.7 From the Hear Mode to the Speak Mode13.8 Incremental Lexical Lookup in the Hear Mode .13.9 Ambiguity in Natural Language 13.10 Language Dependence of Grammatical Disambiguation 13.11 Bach-Peters Sentence 13.12 Conclusion 14. Database Semantics vs. Predicate Calculus 14.1 Definition of Predicate Calculus14.2 PredC Overgeneration 14.3 Determiners 14.4 PredC Undergeneration 14.5 Coreference by Address 14.6 In PredC, Propositions Denote Truth Values14.7 In Database Semantics, Propositions Are Content 14.8 Extending PredC to Possible Worlds 14.9 Semantic Relations of Structure 14.10 Properties Common to Hear, Think, and Think-Speak Operations14.11 Hear Mode Operations 14.12 Activation in the Think and Think-Speak Modes14.13 Inferencing 14.14 Conclusion 15. Agent-Based Memory as an On-board Database 15.1 Input-Output of Conventional Database vs. On-Board Memory 15.2 Data Structure and Operations in a Record-Based Database15.3 Data Structure and Operations 15.4 The On-Board Orientation System (OBOS) 15.5 Loom-Like Clearance of the Now Front 15.6 Resonating Content 1: Coactivation by Similarity 15.7 Resonating Content 2: Coactivation by Token Line Intersection15.8 Resonating Content 3: Coactivation by Continuation 15.9 Memory-Based Concatenation in Nonlanguage Recognition 15.10 Conclusion 16. David Hume’s ‘Causation’ in Database Semantics 16.1 Asymmetry in Natural Coordination 16.2 Cause and Effect 16.3 Necessary, Unnecessary, Sufficient, and Insufficient Causes 16.4 Hume’s Copy Principle16.5 Reconstruction of Elementary Recognition and Action16.6 Computational Reconstruction of Complex Content 16.7 From Individual Contents to a Content Class16.8 Four Different Kinds of Content 16.9 Accommodating Scenarios in DBS16.10 Conclusion 17. Concepts in Computational Cognition 17.1 Concept-Based Interpretation of Indexicals and Names 17.2 Concepts Grounded in Science 17.3 ‘Natural Categories’ as Concepts 17.4 Technical Concepts as a Subclass of ‘Natural Categories’ 17.5 Grammatical Categories 17.6 Hear Mode: Concatenating Proplets into Complex Content 17.7 Speak Mode: Linearization of a Content by Navigation 17.8 Natural Language Communication in Speech and Writing17.9 Conclusion 18. Paraphrase and ambiguity18.1 Introduction: the Structure of Content 18.2 Speak Mode Paraphrase: Different Surfaces for Same Content 18.3 DBS Formalism for the Speak Mode (Language Production) 18.4 Hear Mode Ambiguity: Different Contents for Same Surface18.5 Ambiguity is Language-Dependent 18.6 Grammatical Analysis of Ambiguity 18.7 Local vs. Global Ambiguities18.8 Iterating Local Ambiguities 18.9 Conclusion19. Recursion and Grammatical Disambiguation 19.1 Speak Mode in Database Semantics 19.2 Hear Mode in Database Semantics 19.3 Recursion 19.4 Conclusion Name IndexBibliography 

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Roland Hausser is Professor Emeritus for Theoretical and Computational Linguistics at the University Erlangen-Nürnberg and former director of its Laboratory of Computational Linguistics (CLUE), between 1989 and 2011. After obtaining his PhD at the University of Texas at Austin, the author held various positions at Carnegie Mellon, Stanford University or Ludwig-Maximilians-Universität München. Prof. Hausser has been active and made significant contributions in the fields of Theoretical and Computational Linguistics, Human-Computer Interaction, Formal Grammars and Database Semantics. His research resulted in around 40 journal papers and conference proceedings, and he is the author of the Springer books “Foundations of Computational Linguistics”, “A Computational Model of Natural Language Communication” and “Computational Linguistics and Talking Robots”.

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