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Soft Computing in Humanities and Social Sciences

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Cover of 'Soft Computing in Humanities and Social Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 From Hard Science and Computing to Soft Science and Computing – An Introductory Survey
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    Chapter 2 On Some “family resemblances” of Fuzzy Set Theory and Human Sciences
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    Chapter 3 Warren Weaver’s “Science and complexity” Revisited
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    Chapter 4 How Philosophy, Science and Technologies Studies, and Feminist Studies of Technology Can Be of Use for Soft Computing
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    Chapter 5 On Explicandum versus Explicatum
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    Chapter 6 Axiomatic Investigation of Fuzzy Probabilities
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    Chapter 7 Fuzzy Deontics
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    Chapter 8 Soft Deontic Logic
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    Chapter 9 Retrieving Crisp and Imperfect Causal Sentences in Texts: From Single Causal Sentences to Mechanisms
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    Chapter 10 Facing Uncertainty in Digitisation
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    Chapter 11 The Role of Synonymy and Antonymy in ’Natural’ Fuzzy Prolog
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    Chapter 12 On an Attempt to Formalize Guessing
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    Chapter 13 Syntactic Ambiguity Amidst Contextual Clarity
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    Chapter 14 Can We Learn Algorithms from People Who Compute Fast: An Indirect Analysis in the Presence of Fuzzy Descriptions
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    Chapter 15 Perceptions: A Psychobiological and Cultural Approach
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    Chapter 16 Rule Based Fuzzy Cognitive Maps in Humanities, Social Sciences and Economics
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    Chapter 17 Voting on How to Vote
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    Chapter 18 Weighted Means of Subjective Evaluations
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    Chapter 19 Some Experiences Applying Fuzzy Logic to Economics
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    Chapter 20 Fuzzy Formal Ontology
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    Chapter 21 Computational Representation of Medical Concepts: A Semiotic and Fuzzy Logic Approach
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    Chapter 22 Invariance and Variance of Motives: A Model of Musical Logic and/as Fuzzy Logic
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    Chapter 23 Mathematics and Soft Computing in Music
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    Chapter 24 Music and Similarity Based Reasoning
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    Chapter 25 T-Norms, T-Conorms, Aggregation Operators and Gaudí’s Columns
Attention for Chapter 7: Fuzzy Deontics
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Citations

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