Search Results - attribution theory~
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Henry of Ghent's Summa of ordinary questions.
Published 2012An electronic book accessible through the World Wide Web; click to view
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Structural information theory the simplicity of visual form /
Published 2013Table of Contents: “…Machine generated contents note: Introduction; Part I. Towards a Theory of Visual Form: 1. Borders of perception; 2. …”
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Social Theory of Fear Terror, Torture, and Death in a Post-Capitalist World /
Published 2010Get full text
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Why We Read Fiction : Theory of Mind and the Novel /
Published 2006Table of Contents: “…Attributing minds. Why did Peter Walsh tremble? --…”
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A legal theory for autonomous artificial agents
Published 2011An electronic book accessible through the World Wide Web; click to view
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Multicriteria decision aid and artificial intelligence links, theory and applications /
Published 2013Table of Contents: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”
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Quaestiones variae Henrico de Gandavo adscriptae /
Published 2008An electronic book accessible through the World Wide Web; click to view
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Capturing campaign effects
Published 2006An electronic book accessible through the World Wide Web; click to view
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Applying scientific reasoning to the field of marketing make better decisions /
Published 2012Table of Contents: “…Arguments and logical fallacies -- Section 3. Developing theories -- 12. Theory -- 13. Creative thinking in theory development -- 14. …”
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Organizational behavior I.
Published 2005Table of Contents: “…Stacy Adams -- Goal setting theory : Edwin Locke and Gary Latham -- Attribution theory-managerial perceptions of the poor performing subordinate : Terence Mitchell and Stephen Green -- Normative decision process theory : Victor Vroom, Philip Yetton, and Arthur Jago -- Contingency theory of leadership : Fred Fiedler -- Vertical dyad linkage and leader member exchange theory : George Graen -- Information processing theory of leadership : Robert Lord -- Substitutes for leadership : Steven Kerr -- Role motivation theory : John Miner -- Charismatic leadership theory : Robert House -- Transformational leadership theory : Bernard Bass.…”
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Diplomacy's Value : Creating Security in 1920s Europe and the Contemporary Middle East /
Published 2014Full text available:
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The Race of Sound : Listening, Timbre, and Vocality in African American Music /
Published 2019Full text available:
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The aesthetics of wine
Published 2012An electronic book accessible through the World Wide Web; click to view
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