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This book presents the advancements and applications of neutrosophics. Chapter 1 rst introduces the interval neutrosophic sets which is an instance of neutrosophic sets. In this chapter, the denition of interval neutrosophic sets and set-theoretic operators are given and various properties of interval neutrosophic set are proved. Chapter 2 denes the interval neutrosophic logic based on interval neutrosophic sets including the syntax and semantics of rst order interval neutrosophic propositional logic and rst order interval neutrosophic predicate logic. The interval neutrosophic logic can reason and model fuzzy, incomplete and inconsistent information. In this chapter, we also design an interval neutrosophic inference system based on rst order interval neutrosophic predicate logic. The interval neutrosophic inference system can be applied to decision making. Chapter 3 gives one application of interval neutrosophic sets and logic in the eld of relational databases. Neutrosophic data model is the generalization of fuzzy data model and paraconsistent data model. Here, we generalize various set-theoretic and relation-theoretic operations...

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This representation is closer to the human mind reasoning. It characterizes/ catches the imprecision of knowledge or linguistic inexactitude received by various observers (that's why T, I, F are subsets - not necessarily single-clements), Uncertainty due to incomplete knowledge or acquisition errors or stochasticity (that's why the subset I exists), and vagueness due to lack of clear contours or limits (that's why T, I, Fare subsets and I exists; in particular for the appurtenance to the neutrosophic sets)....

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Chapter 1 first introduces the interval neutrosophic sets which is an instance of neutrosophic sets. In this chapter, the definition of interval neutrosophic sets and set-theoretic operators are given and various properties of interval neutrosophic set are proved. Chapter 2 defines the interval neutrosophic logic based on interval neutrosophic sets including the syntax and semantics of first order interval neutrosophic propositional logic and first order interval neutrosophic predicate logic. The interval neutrosophic logic can reason and model fuzzy, incomplete and inconsistent information. In this chapter, we also design an interval neutrosophic inference system based on first order interval neutrosophic predicate logic. The interval neutrosophic inference system can be applied to decision making. Chapter 3 gives one application of interval neutrosophic sets and logic in the field of relational databases. Neutrosophic data model is the generalization of fuzzy data model and paraconsistent data model. Here, we generalize various set-theoretic and relation-theoretic operations of fuzzy data model to neutrosophic data model. Chapter ...

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The neutrosophic set generalizes the above mentioned sets from philosophical point of view. From scientific or engineering point of view, the neutrosophic set and set-theoretic operators need to be specified. Otherwise, it will be difficult to apply in the real applications. In this chapter, we de_ne the set theoretic operators on an instance of neutrosophic set called Interval Neutrosophic Set (INS). We call it as “interval" because it is subclass of neutrosophic set, that is we only consider the subunitary interval of [0; 1]....

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Preface iii 1 Interval Neutrosophic Sets 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Neutrosophic Set . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3 Interval Neutrosophic Set . . . . . . . . . . . . . . . . . . . . . 6 1.4 Properties of Set-theoretic Operators . . . . . . . . . . . . . . . . . . 14 1.5 Convexity of Interval Neutrosophic Set . . . . . . . . . . . . . . . . . . 15 1.6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . 16 1.7 Appendix . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2 Interval Neutrosophic Logic 21 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.2 Interval Neutrosophic Propositional Calculus . . . . . . . . . . . . . . . 23 2.2.1 Syntax of Interval Neutrosophic Propositional Calculus . . . . . . . . . 23 2.2.2 Semantics of Interval Neutrosophic Propositional Calculus . . . . . . . . . 24 2.2.3 Proof Theory of Interval Neutrosophic Propositional Calculus . . . . . . . . 25 2.3 Interval Neutrosophic Predicate Calculus . . . . . . . . . . . . . . . . 27 2.3.1 Syntax of Interval Neutrosophic Predicate Cal...

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Dialogue format between three great philosophers. Two German and one Buddhist monk from 200 AD India.

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Nāgārjuna talks directly to Martin Heidegger. Martin, you had Parmenides and impossibility of thinking of non-Being. Supposedly, he wrote: “neither could you know what is not nor could you declare it”. Indeed, the rest of the western philosophical history is: Plato’s dialogue the Sophist and stranger’s position about non-Being and the simple discussion of the semantics of non-Being; or Hegel’s view of non-Being in the Science of Logic which is only thought in the general context of progress of the methodology of the “circles of circles”. No wonder your remarks that “nothing nothings” (Das Nichts nichtet) is often thought of as your confusions. You started off with a chair with only one leg and that was unbalanced – this is the western approach which you had to deal with metaphysically. You got stuck too....

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Dramatis personas: Martin Heidegger (1889-1976) owner of the ‘Die Hütte’. Friedrich Nietzsche (1844-1900) Archaya Nagarjuna 2-3th century AD Buddhist author of Fundamental Verses on the Middle Way (Mulamadhyamakakarika). Mādhyamaka Siddhartha Gautama, the Buddha (563-483 BC). Socrates (Greek philosopher, 469 BC to 399 BC). Plato (424BC - 348 BC), Greek philosopher who re-wrote the Republic seven time over. Narrator...

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Aristotle's On Interpretation (Greek Περὶ Ἑρμηνείας or Peri Hermeneias) or De Interpretatione (the Latin title) is the second of Aristotle's six texts on logic which are collectively known as the Organon. On Interpretation is one of the earliest surviving philosophical works in the Western tradition to deal with the relationship between language and logic in a comprehensive, explicit, and formal way. The work begins by analyzing simple categoric propositions, and draws a series of basic conclusions on the routine issues of classifying and defining basic linguistic forms, such as simple terms and propositions, nouns and verbs, negation, the quantity of simple propositions (primitive roots of the quantifiers in modern symbolic logic), investigations on the excluded middle (what to Aristotle isn't applicable to future tense propositions — the Problem of future contingents), and on modal propositions. The first five chapters deal with the terms that form propositions. Chapters 6 and 7 deal with the relationship between affirmative, negative, universal and particular propositions. These relationships are the basis of the well-known Squar...

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Languages, Classics (antiquity)

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Applications demonstrate the power of the DSmT framework. In this third Volume, DSmT is applied to the entire spectrum of the Information Fusion that would interest any reader in data, sensor, information, and mathematical fusion topics. Highlighted in Figure 1 are the contemporary issues that include the links between (1) data conditioning and information management, (2) combined situation and impact assessment, and (2) knowledge representation between machine processing and user coordination. Various applications leverage DSmT “Advances” listed above along with DSmH (hybrid), DSmP (Probabilistic), and DSmT theoretical insights. The third volume attacks these application issues of coordination between the “levels” of information fusion....

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Part I Advances on DSmT 1 Chapter 1 An introduction to DSmT 3 by J. Dezert and F. Smarandache 1.1 Introduction . . . . . . . . . . 4 1.2 Foundations of DSmT . . . . . . . . . 4 1.2.1 The power set, hyper-power set and super-power set . . 6 1.2.2 Notion of free and hybrid DSm models . . . . 18 1.2.3 Generalized belief functions . . . . . . 20 1.2.4 The classic DSm rule of combination . . . . . 21 1.2.5 The hybrid DSm rule of combination . . . . . 22 1.2.6 Examples of combination rules . . . . . . 24 1.2.7 Fusion of imprecise beliefs . . . . . . 29 1.3 Proportional Conflict Redistribution rule . . . . . 33 1.3.1 PCR formulas . . . . . . . . . 34 1.3.2 Examples . . . . . . . . . 35 1.3.3 Zadeh’s example . . . . . . . . 39 1.4 Uniform and partially uniform redistribution rules . . . 41 1.5 RSC Fusion rules . . . . . . . . . 43 1.6 The generalized pignistic transformation (GPT) . . . . 45 1.6.1 The classical pignistic transformation . . . . 45 1.6.2 Notion of DSmcardinality . . . . . . 46 1.6.3 The Generalized Pignistic Transformation . . . 47 1.7 The DSmP transformation . . . . . . . 48 1.7.1 The Probabilistic In...

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This second book devoted on advances and applications of Dezert-Smarandache Theory (DSmT) for information fusion collects recent papers from different researchers working in engineering and mathematics. Part 1 of this book presents the current state-of-the-art on theoretical investigations while, Part 2 presents several applications of this new theory. Some ideas in this book are still under current development or improvements, but we think it is important to propose them in order to share ideas and motivate new debates with people interested in new reasoning methods and information fusion. So, we hope that this second volume on DSmT will continue to stir up some interests to researchers and engineers working in data fusion and in artificial intelligence....

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Preamble iii Prefaces v Part I Advances on DSmT 1 Chapter 1 Proportional Conflict Redistribution Rules for Information Fusion 3 by Florentin Smarandache and Jean Dezert 1.1 Introduction . . . . . . . . . . . 3 1.2 The principal rules of combination . . . . . . . 6 1.2.1 Notion of total and partial conflicting masses . . . . . 6 1.2.2 The conjunctive rule . . . . . . . . . 6 1.2.3 The disjunctive rule . . . . . . . . . 8 1.2.4 Dempster’s rule of combination . . . . . . . 8 1.2.5 Smets’ rule of combination . . . . . . . 9 1.2.6 Yager’s rule of combination . . . . . . . 9 1.2.7 Dubois & Prade’s rule of combination . . . . . . 9 1.2.8 The hybrid DSm rule . . . . . . . . 10 1.3 The general weighted operator (WO) . . . . . . . 11 1.4 The weighted average operator (WAO) . . . . . . . 12 1.4.1 Definition . . . . . . . . . 12 1.4.2 Example for WAO . . . . . . . . . 13 1.4.3 Limitations of WAO . . . . . . . . . 13 1.5 Daniel’s minC rule of combination . . . . . . . 14 1.5.1 Principle of the minC rule . . . . . . . 14 1.5.2 Example for minC . . . . . . . . . 15 1.6 Principle of the PCR rules . . . . . . . . . 20 1.7 The...

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Table of Contents IN THE HOTEL 8 LOOKING FOR HAPPINESS 10 WE MUST THINK MORE DEEPLY—AND UNDERSTAND OUR THINKING 20 OUR BASIC ASSUMPTIONS 24 -- THE FOUNDATIONS OF OUR VALUES -- 24 SELF-CENTEREDASSUMPTIONS 32 GODBASEDASSUMPTIONS 41 CONCEPTS OF GOD 45 3 WHAT IS GOD LIKE? 46 THEISM 49 PROOFS FOR THE EXISTENCE OF GOD 53 IS AMERICA A CHRISTIAN NATION? 57 WHO GETS TO GO TO HEAVEN? 63 DEISM 65 PANTHEISM AND PANENTHEISM 67 AGNOSTICISM 68 ATHEISM 71 SATANISM 96 AN IDEA OF A BETTER SOCIETY AS A BASIC ASSUMPTION 97 THE SOURCE OF POWER IN A SOCIETY 104 FUNDAMENTAL PRINCIPLES OF A SOCIETY 104 TYPE OF GOVERNMENT108 USING GOD’S LAWS FOR SOCIETY 112 SOCIAL CONCERNS—DO UNTO OTHERS 114 ECONOMIC CONCERNS WHEN ESTABLISHING YOUR IDEAL SOCIETY 115 ECONOMIC EFFICIENCY117 THE WELFARE STATE—CRADLE TO GRAVE BENEFITS 119 RETIREMENT PENSIONS 125 HEALTH CARE128 HEALTH CARE AND AGING POPULATIONS 130 WORKING AND RESTING IN THE WELFARE STATE 131 POVERTY IS RELATIVE 134 PENSIONS 134 SICK LEAVE 135 HIGH TAXES 137 BALANCING THE BUDGET—TAXES FOR YOUR IDEAL SOCIETY 138 ECONOMIC GROWTH RATE 146 REAL WEALTH PER PERSON 147 BORROWING 147 BUDGET DEFICITS AND NATIONAL DEBTS 1...

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This book is devoted to an emerging branch of Information Fusion based on new approach for modeling the fusion problematic when the information provided by the sources is both uncertain and (highly) conflicting. This approach, known in literature as DSmT (standing for Dezert-Smarandache Theory), proposes new useful rules of combinations. We gathered in this volume a presentation of DSmT from the beginning to the latest development. Part 1 of this book presents the current state-of-the-art on theoretical investigations while Part 2 presents several applications of this new theory. We hope that this first book on DSmT will stir up some interests to researchers and engineers working in data fusion and in artificial intelligence. Many simple but didactic examples are proposed throughout the book. As a young emerging theory, DSmT is probably not exempt from improvements and its development will continue to evolve over the years. We just want through this book to propose a new look at the Information Fusion problematic and open a new track to attack the combination of information....

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Preamble xi Prefaces xiii I Advances on DSmT 1 1 Presentation of DSmT 3 1.1 Introduction . . . . . 3 1.2 Short introduction to the DST . . . . 5 1.2.1 Shafer’s model and belief functions . . . 5 1.2.2 Dempster’s rule of combination . . . 5 1.2.3 Alternatives to Dempster’s rule of combination . . . 6 1.2.4 The discounting of sources of evidence . . . 10 1.3 Foundations of the DSmT . . . . 11 1.3.1 Notion of free and hybrid DSm models . . . 11 1.3.2 Notion of hyper-power set D_ . . . 13 1.3.3 Generalized belief functions . . . . 15 1.3.4 The classic DSm rule of combination . . . 16 1.3.5 The hybrid DSm rule of combination . . . 17 1.3.6 On the refinement of the frames . . . 18 1.3.7 On the combination of sources over different frames . . . 20 1.4 Comparison of different rules of combinations . . . 21 1.4.1 First example . . . . . 21 1.4.2 Second example . . . . 25 1.4.3 Third example . . . . 26 1.4.4 Fourth example . . . . 27 1.4.5 Fifth example . . . . . 27 1.5 Summary . . . . . 29 1.6 References . . . . . 31 2 The generation of hyper-power sets 37 2.1 Introduction . . . . . 37 2.2 Definition of hyper-po...

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“I like the idea of mental synthesis very much ... I quite agree that language evolved in a way that facilitates synthesis and transmission of the synthesized mental image. ... I don't think there can be much doubt, purely conceptually, that language was a late arrival. Whatever mutation provided the key to it would have had no selectional advantage at all, and would have just been a useless “organ,” if it could not have linked up to pre-existing thought systems.” —NOAM CHOMSKY, Professor Emeritus of Linguistics, MIT “Boston University’s Andrey Vyshedskiy brings a neuroscientist’s perspective to the discussion of human mental history in On the Origin of the Human Mind.” —Scientific American Mind (July 2009) “I found the Mental Synthesis theory stimulating and provocative. The author puts forward an explanation for the evolution of the human mind based on predator detection that led to increased visual mental analysis which set the stage for visual mental syntheses. The author presents an impressive array of recent research on the brain with up to date references that are highly relevant to his case and the origin of mi...

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Introduction While studying the neuroscience of consciousness, I was struck with certain facts about mental imagery that seemed to shed some light on the process of the evolution of the human mind. The origin of the human mind remains one of the greatest mysteries of all times. The last 150 years, since Charles Darwin proposed that species evolve under the influence of natural selection (Darwin C, 1859), have been marked by great discoveries. Molecular biology described the genetic principles underlying species evolution and identified specific changes in the human genome since our lineage split off from the chimpanzee line about six million years ago (Somel M, 2013). Great paleontological discoveries have filled that span of six million years of human evolution with a number of intermediate species that display both human- and ape-like characteristics. However, the discussion of the evolution of the human intellect and specific forces that shaped the underlying brain evolution is as vigorous today as it was in Darwin’s times. At the center of the predicament about the origin of the human mind lies the question of human uniqu...

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Introduction 1 Part 1. Neuroscience of imagination 5 Chapter 1. Object encoding in the brain 6 Chapter 2. Neuronal synchronization 26 Chapter 3. Imagining new objects 32 Chapter 4. External manifestations of mental synthesis 39 Chapter 5. Humans versus animals 80 Chapter 6: Overall Discussion of Part 1 108 Part 2. Evolution of the Human Mind 135 Chapter 7. Introduction: a quick guide to paleoanthropology 136 Chapter 8. Cognitive evolution through the prism of paleontological evidence 160 Chapter 9. Evolutionary pressure drives better predator detection 191 Chapter 10. Overall Discussion of Part 2 219 Part 3. The “last” mutation 254 Chapter 11. The role of the prefrontal cortex in the process of mental synthesis 256 Chapter 12. Evolution of the prefrontal cortex 277 Conclusions 327 A wish list of experiments 339 Appendix 367 Acknowledgments 400 Bibliography 401 Illustrations credits 428 About the author 430 ...