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Journal articles on the topic 'Induction and inference'

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Published: 4 June 2021

Last updated: 13 February 2022

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1

Brandom, Robert. "Inference, expression, and induction." Philosophical Studies 54, no. 2 (1988): 257–85. http://dx.doi.org/10.1007/bf00354516.

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2

Tarlowski, Andrzej. "Naming Patterns and Inductive Inference: The Case of Birds." Journal of Cognition and Culture 11, no. 1-2 (2011): 189–216. http://dx.doi.org/10.1163/156853711x568743.

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AbstractAlthough past research demonstrated that online presentation of labels plays a role in inductive inference few studies have shown that naming practices affect stable category representations that enter into inductive judgments. In this study we provide evidence for a relationship between naming and inductive inference by examining Polish and Spanish speakers’ inferences within the taxonomic class Aves. Birds in Polish are named with one label, ptak, while Spanish uses two labels, ave and pájaro. Size is the feature that determines whether Spanish speakers label a bird as ave or pájaro.

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3

van Someren, Maarten W. "Analogy and Induction as Inference." AI Communications 3, no. 2 (1990): 83–84. http://dx.doi.org/10.3233/aic-1990-3208.

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4

Mackonis, Adolfas. "GERIAUSIO PAAIŠKINIMO IŠVEDIMAS. TARP DEDUKCIJOS, INDUKCIJOS IR ABDUKCIJOS." Problemos 76 (January 1, 2009): 150–61. http://dx.doi.org/10.15388/problemos.2009.0.1936.

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Geriausio paaiškinimo išvedimas (GPI) išskiriamas kaip pagrindinė mokslo hipotezes ir teorijas atrandanti ir pagrindžianti samprotavimo forma. Straipsnyje tiriamas GPI ir jo santykis su pagrindinėmis samprotavimo rūšimis: dedukcija, indukcija ir abdukcija. GPI pasižymi abdukcijos samprotavimo mechanizmu, tačiau, priešingai nei abdukcija, GPI teikia ne galimą, bet esą teisingą išvadą. GPI yra induktyvus plačiąja prasme samprotavimas, nes jis nepatenkina dedukcijos taisyklių ir jo išvadai nepakanka duomenų. Straipsnyje teigiama, jog nepaisant pastarųjų GPI ypatumų, kurie rodo, kad GPI nėra ir ne

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5

McGrew, Timothy. "Direct Inference and the Problem of Induction." Monist 84, no. 2 (2001): 153–78. http://dx.doi.org/10.5840/monist200184211.

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6

Holland, John H., Keith J. Holyoak, Richard E. Nisbett, Paul R. Thagard, and Stephen W. Smoliar. "Induction: Processes of Inference, Learning, and Discovery." IEEE Expert 2, no. 3 (1987): 92–93. http://dx.doi.org/10.1109/mex.1987.4307100.

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7

Magnus, P. D. "Demonstrative Induction and the Skeleton of Inference." International Studies in the Philosophy of Science 22, no. 3 (2008): 303–15. http://dx.doi.org/10.1080/02698590802567373.

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8

Shrager, Jeff. "Induction: Process of inference, learning and discovery." Artificial Intelligence 41, no. 2 (1989): 249–52. http://dx.doi.org/10.1016/0004-3702(89)90013-1.

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9

Margolis, Howard. "Induction: Processes of inference, learning and discovery." Journal of Economic Behavior & Organization 9, no. 3 (1988): 318–21. http://dx.doi.org/10.1016/0167-2681(88)90041-8.

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10

Gaines, Brian R., and Mildred L. G. Shaw. "Induction of inference rules for expert systems." Fuzzy Sets and Systems 18, no. 3 (1986): 315–28. http://dx.doi.org/10.1016/0165-0114(86)90009-6.

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11

Weintraub, Ruth. "Induction and inference to the best explanation." Philosophical Studies 166, no. 1 (2012): 203–16. http://dx.doi.org/10.1007/s11098-012-0034-1.

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12

Sahakyan, Inesa. "Metaphor, induction and innovation: Getting outside the box." Sign Systems Studies 49, no. 1-2 (2021): 166–90. http://dx.doi.org/10.12697/sss.2021.49.1-2.07.

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Today more than ever innovation seems vital for us to anticipate the future and adapt to our rapidly changing world. But what is innovation and how is it accomplished? How can the mind generate innovative ideas? To gain a better understanding of the mechanisms underlying the human capacity to innovate, the present study aims at answering two basic questions: first, ‘what makes innovation possible?’ and second, ‘why are innovative ideas unusual?’. These questions are addressed within the framework of Peircean semiotics, in particular in the light of Peirce’s conception of inference. Different t

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Richetin, M., and M. Naranjo. "Inference of Automata by dialectic learning." Robotica 3, no. 3 (1985): 159–63. http://dx.doi.org/10.1017/s0263574700009085.

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SUMMARYAn algorithm for the inference of the external behaviour model of an automaton is given. It uses a sequential learning procedure based on induction-contradiction-correction concepts. The induction is a generalization of relationships between automaton state properties, and the correction consists in a more and more accurate discrimination of the automaton state properties. These properties are defined from the input/output contradictory sequences which are discovered after the observed contradictions between successive predictions and observations.

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14

Wieczorek, Wojciech, Olgierd Unold, and Łukasz Strąk. "Parsing Expression Grammars and Their Induction Algorithm." Applied Sciences 10, no. 23 (2020): 8747. http://dx.doi.org/10.3390/app10238747.

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Grammatical inference (GI), i.e., the task of finding a rule that lies behind given words, can be used in the analyses of amyloidogenic sequence fragments, which are essential in studies of neurodegenerative diseases. In this paper, we developed a new method that generates non-circular parsing expression grammars (PEGs) and compares it with other GI algorithms on the sequences from a real dataset. The main contribution of this paper is a genetic programming-based algorithm for the induction of parsing expression grammars from a finite sample. The induction method has been tested on a real bioi

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15

Peden, William. "Direct Inference in the Material Theory of Induction." Philosophy of Science 86, no. 4 (2019): 672–95. http://dx.doi.org/10.1086/704977.

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Li, Bowen, Jianpeng Cheng, Yang Liu, and Frank Keller. "Dependency Grammar Induction with a Neural Variational Transition-Based Parser." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6658–65. http://dx.doi.org/10.1609/aaai.v33i01.33016658.

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Dependency grammar induction is the task of learning dependency syntax without annotated training data. Traditional graph-based models with global inference achieve state-ofthe-art results on this task but they require O(n3) run time. Transition-based models enable faster inference with O(n) time complexity, but their performance still lags behind. In this work, we propose a neural transition-based parser for dependency grammar induction, whose inference procedure utilizes rich neural features with O(n) time complexity. We train the parser with an integration of variational inference, posterio

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Goel, Vinod, and Raymond J. Dolan. "Anatomical Segregation of Component Processes in an Inductive Inference Task." Journal of Cognitive Neuroscience 12, no. 1 (2000): 110–19. http://dx.doi.org/10.1162/08989290051137639.

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Inductive inference underlies much of human cognition. The essential component of induction is hypothesis selection based on some criterion of relevance. The purpose of this study was to determine the neural substrate of inductive inference, particularly hypothesis selection, using fMRI. Ten volunteers were shown stimuli consisting of novel animals under two task conditions, and asked to judge whether all the animals in the set were the same type of animal. In one condition, subjects were given a rule that specified the criteria for “same type of animal.” In the other condition, subjects had t

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KODRATOFF, YVES. "RECENT ADVANCES IN MACHINE LEARNING." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 04 (1992): 469–511. http://dx.doi.org/10.1142/s021800149200028x.

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Inference is a very general reasoning process that allows us to draw consequences from some body of knowledge. Machine learning (ML) uses the three kinds of possible inferences, deductive, inductive, and analogical. We describe here different methods, using these inferences, that have been created during the last decade to improve the way machines can learn. We have already presented the most classical approaches in a book (Kodratoff, 1988), and in several review papers (Kodratoff, 1989, 1990a, 1992). These results will be described here very briefly, in order to leave room for newer results.

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ACHOU, Nadiaa. "Protection System for Induction Motor based on Sugeno Inference." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 3 (2020): 140–43. http://dx.doi.org/10.15199/48.2020.03.30.

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Akhabbar, Amanar. "The Case against “Indirect” Statistical Inference." History of Political Economy 53, no. 6 (2021): 259–92. http://dx.doi.org/10.1215/00182702-9414874.

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How to infer from uncontrolled data the numerical values of the parameters of an econometric model? In interwar econometrics, this problem of statistical induction was tackled in various ways. Wassily Leontief’s inter-industry method offers a case study of a nonprobabilistic approach to this problem of the statistical determination of a model’s parameter. Leontief was an outspoken critic of the probabilistic approach to econometrics and presented his interindustry device as an alternative. Focusing on his book published in 1941, The Structure of American Economy, 1929–1929, which gathered a de

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21

Johansson, Lars-Göran. "Induction and Epistemological Naturalism." Philosophies 3, no. 4 (2018): 31. http://dx.doi.org/10.3390/philosophies3040031.

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Epistemological naturalists reject the demand for a priori justification of empirical knowledge; no such thing is possible. Observation reports, being the foundation of empirical knowledge, are neither justified by other sentences, nor certain; but they may be agreed upon as starting points for inductive reasoning and they function as implicit definitions of predicates used. Making inductive generalisations from observations is a basic habit among humans. We do that without justification, but we have strong intuitions that some inductive generalisations will fail, while for some other we have

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Benbouhenni, H., A. Driss, and S. Lemdani. "Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms." Electrical Engineering & Electromechanics, no. 4 (July 29, 2021): 31–38. http://dx.doi.org/10.20998/2074-272x.2021.4.04.

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Aim. This paper presents the minimization of reactive and active power ripples of doubly fed induction generators using super twisting algorithms and pulse width modulation based on neuro-fuzzy algorithms. Method. The main role of the indirect active and reactive power control is to regulate and control the reactive and active powers of doubly fed induction generators for variable speed dual-rotor wind power systems. The indirect field-oriented control is a classical control scheme and simple structure. Pulse width modulation based on an adaptive-network-based fuzzy inference system is a new m

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23

Lai, Jingjuan, Hanxiong Chen, and Yuzuru Fujiwara. "An information-base system based on the self-organization of concepts represented by terms." Terminology 3, no. 2 (1996): 313–34. http://dx.doi.org/10.1075/term.3.2.05lai.

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Since multimedia information is complicated inform and vast in amount, conventional database-management systems or knowledge-base-management systems are hardly appropriate to store, manage, and utilize expertise effectively. A new type of information model is developed according to an analysis of the information used by specialists for research and development, and a prototype information-management system is implemented. The system consists of three parts: (1) flexible storage without special constraints on format and representation; (2) self-organization of terms by extracting semantic relat

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Galvin, Cyril, and Coastal Engineer. "A Classification of Scientific Evidence in Geology." Earth Sciences History 20, no. 1 (2001): 9–13. http://dx.doi.org/10.17704/eshi.20.1.x28621196382uu13.

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All facts are not equal, nor are they equally theory-laden. Facts can be separated into a three-level, five-part classification. The three levels are first-, second-, and third-order evidences, going from most certain to least certain evidence. First-order evidence may be either a simple fact (one based directly on a measurement of length, time, or mass, or on an expert's identification) or a derivative fact (an induction from simple facts). Second-order evidence may be a simple inference (from insufficient first-order evidence) or a derivative inference (from the cumulative indication of simp

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25

Sabre, Ru Michael. "Semeiotic logic or, deduction, induction, and semeiotic." Semiotica 2018, no. 222 (2018): 81–85. http://dx.doi.org/10.1515/sem-2016-0164.

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AbstractDeduction, induction, and semeiotic relate by each being a permutation of modus ponens. As deduction providing necessary inference is the means of mathematical proof, and induction establishing sound generalizations is the basis of scientific research, so semeiotic bringing to bear informed responses to experience is the core of human understanding. Semeiotic, specifically semeiosis, is shown to be Peircean abduction in the context of signs, thus producing informed response to experience.

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MENDAZ, Kheira, and Houria BOUNOUA. "COMPARATIVE STUDY OF CONTROLLER ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM AND NEURAL WITH EXISTENCE OF ROTOR FAULT IN INDUCTION MACHINE." Acta Electrotechnica et Informatica 17, no. 1 (2017): 31–40. http://dx.doi.org/10.15546/aeei-2017-0005.

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27

Cakic, Vladimir. "On the reasons for differentiation between abduction and inference to the best explanation." Theoria, Beograd 59, no. 4 (2016): 30–52. http://dx.doi.org/10.2298/theo1604030c.

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Relationship between abduction and Inference to the Best Explanation is not sufficiently elaborated in contemporary literature. These terms are often unjustifiably considered to be synonymous. The aim of this paper is to articulate the meanings of these notions and make a clear distinction between them. It will be shown that, despite certain similarities, there are significant differences between abduction and Inference to the Best Explanation. Charles Sanders Peirce defines abduction as a kind of insight by which we discover new hypotheses, which are only potential explanations and truth of w

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28

Liang-Chih Yu, Chung-Hsien Wu, Jui-Feng Yeh, and Fong-Lin Jang. "HAL-Based Evolutionary Inference for Pattern Induction From Psychiatry Web Resources." IEEE Transactions on Evolutionary Computation 12, no. 2 (2008): 160–70. http://dx.doi.org/10.1109/tevc.2007.895270.

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29

Henson, Richard. "What can Functional Neuroimaging Tell the Experimental Psychologist?" Quarterly Journal of Experimental Psychology Section A 58, no. 2 (2005): 193–233. http://dx.doi.org/10.1080/02724980443000502.

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I argue here that functional neuroimaging data—which I restrict to the haemodynamic techniques of fMRI and PET—can inform psychological theorizing, provided one assumes a “systematic” function–structure mapping in the brain. In this case, imaging data simply comprise another dependent variable, along with behavioural data, that can be used to test competing theories. In particular, I distinguish two types of inference: function-to-structure deduction and structure-to-function induction. With the former inference, a qualitatively different pattern of activity over the brain under two experiment

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JONYER, ISTVAN, LAWRENCE B. HOLDER, and DIANE J. COOK. "MDL-BASED CONTEXT-FREE GRAPH GRAMMAR INDUCTION AND APPLICATIONS." International Journal on Artificial Intelligence Tools 13, no. 01 (2004): 65–79. http://dx.doi.org/10.1142/s0218213004001429.

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We present an algorithm for the inference of context-free graph grammars from examples. The algorithm builds on an earlier system for frequent substructure discovery, and is biased toward grammars that minimize description length. Grammar features include recursion, variables and relationships. We present an illustrative example, demonstrate the algorithm's ability to learn in the presence of noise, and show real-world examples.

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Barrett, H. Clark. "Descent Versus Design in Shuar Children's Reasoning about Animals." Journal of Cognition and Culture 4, no. 1 (2004): 25–50. http://dx.doi.org/10.1163/156853704323074741.

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AbstractThe ability to make inductive inferences is important because without it, generalization of knowledge to new circumstances would be impossible. One context in which such inductive skills are likely to have been important over evolutionary time is encounters with animals. Previous research suggests that children take into account at least two kinds of relationships between animals when making inductive inferences about them: descent relationships (i.e., taxonomic relationships), and design relationships (i.e., ecological relationships). Because descent and design relationships are somet

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Pandey, Hari Mohan. "Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 3 (2017): 100. http://dx.doi.org/10.11591/ijai.v6.i3.pp100-111.

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The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm (GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar rules and verification and then applies the GA’s operation to optimize the rules. A pushdown automata simulator has been developed, which parse the training data over the grammar’s rules. An inverted mutation with random mask and then ‘XOR’ operator has been applied introduces diversity in the population, helps the GA not to get trap

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Ojima, Izumi, and Kazuya Okamura. "Large Deviation Strategy for Inverse Problem I." Open Systems & Information Dynamics 19, no. 03 (2012): 1250021. http://dx.doi.org/10.1142/s1230161212500217.

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Taken traditionally as a no-go theorem against the theoretical organization of inductive processes, Duhem-Quine thesis may interfere with the essence of statistical inference. This difficulty can be resolved by "Micro-Macro duality" [9, 10] which clarifies the importance of specifying the pertinent aspects and accuracy relevant to concrete contexts of scientific discussions and which ensures the matching between what is to be described and what to describe in the form of the validity of duality relations. This consolidates the foundations of the inverse problem, induction method, and statistic

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Gabor, Mateusz, Wojciech Wieczorek, and Olgierd Unold. "Split-Based Algorithm for Weighted Context-Free Grammar Induction." Applied Sciences 11, no. 3 (2021): 1030. http://dx.doi.org/10.3390/app11031030.

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The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from both positive and negative samples, whereas the weights of rules are estimated using a novel Inside–Outside Contrastive Estimation algorithm. The results showed that our approach outperforms in terms of F1 scores of other state-of-the-art methods.

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WALSH, PATRICK. "CATEGORICAL HARMONY AND PATH INDUCTION." Review of Symbolic Logic 10, no. 2 (2017): 301–21. http://dx.doi.org/10.1017/s1755020317000077.

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AbstractThis paper responds to recent work in the philosophy of Homotopy Type Theory by James Ladyman and Stuart Presnell. They consider one of the rules for identity, path induction, and justify it along ‘pre-mathematical’ lines. I give an alternate justification based on the philosophical framework of inferentialism. Accordingly, I construct a notion of harmony that allows the inferentialist to say when a connective or concept is meaning-bearing and this conception unifies most of the prominent conceptions of harmony through category theory. This categorical harmony is stated in terms of adj

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36

Mizutani, Shinnosuke, and Naoki Nishida. "Transforming Proof Tableaux of Hoare Logic into Inference Sequences of Rewriting Induction." Electronic Proceedings in Theoretical Computer Science 265 (February 16, 2018): 35–51. http://dx.doi.org/10.4204/eptcs.265.4.

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37

Boumans, Marcel. "Pictorial Statistics." History of Political Economy 53, no. 6 (2021): 207–26. http://dx.doi.org/10.1215/00182702-9414846.

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This essay discusses Francis Galton’s method of inductive inference where the data are photographs of human faces. His aim of induction was to determine the typical characteristics of the natural class to which the individuals belong by composing the relevant photographs in a specific photographic way. The three populations studied by Galton were people suffering tuberculosis, Jews, and criminals. This essay argues that despite the fact that Galton aimed at mechanical objectivity, subjective judgements nevertheless appear to be a necessary part of this kind of inductive inference. At first sig

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Beklemishev, Lev D. "On the induction schema for decidable predicates." Journal of Symbolic Logic 68, no. 1 (2003): 17–34. http://dx.doi.org/10.2178/jsl/1045861504.

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AbstractWe study the fragment of Peano arithmetic formalizing the induction principle for the class of decidable predicates, IΔ1. We show that IΔ1 is independent from the set of all true arithmetical Π2-sentences. Moreover, we establish the connections between this theory and some classes of oracle computable functions with restrictions on the allowed number of queries. We also obtain some conservation and independence results for parameter free and inference rule forms of Δ1-induction.An open problem formulated by J. Paris (see [4, 5]) is whether IΔ1 proves the corresponding least element pri

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Senthil Kumar, K., and D. Malathi. "Context Free Grammar Identification from Positive Samples." International Journal of Engineering & Technology 7, no. 3.12 (2018): 1096. http://dx.doi.org/10.14419/ijet.v7i3.12.17768.

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In grammatical inference one aims to find underlying grammar or automaton which explains the target language in some way. Context free grammar which represents type 2 grammar in Chomsky hierarchy has many applications in Formal Language Theory, pattern recognition, Speech recognition, Machine learning , Compiler design and Genetic engineering etc. Identification of unknown Context Free grammar of the target language from positive examples is an extensive area in Grammatical Inference/ Grammar induction. In this paper we propose a novel method which finds the equivalent Chomsky Normal form.

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Dash, Rudra, and Bidyadhar Subudhi. "Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques." Archives of Control Sciences 20, no. 3 (2010): 363–76. http://dx.doi.org/10.2478/v10170-010-0022-7.

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Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniquesMotivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detection of a single phase induction motor, this paper studies the applicability these two approaches for detection of stator inter-turn faults in a three phase induction motor. Firstly, the paper develops an adaptive neural fuzzy inference system (ANFIS) detection strategy and then compares its performance with that of using a multi layer perceptron neural network (MLP NN) applied to stator inter-turn fault detection

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Scazzieri, Roberto. "Patterning uncertainty: partial likeness, analogy and likelihood." Cambridge Journal of Economics 45, no. 5 (2021): 1009–26. http://dx.doi.org/10.1093/cje/beab020.

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Abstract This paper examines the role of similarity judgements in Keynes’s theory of analogy as discussed in the Treatise on Probability (Keynes, 1921) and outlines a conceptual framework in which induction by analogy based on the identification of partial resemblances leads to likelihood as the central disposition by which human actors assign a pattern to uncertainty. The structure of the paper is as follows. Section 2 discusses Keynes’ view of analogy as the foundation of inductive inference. Section 3 outlines a theory of similarity based on Keynes’s criteria of finite variety and negative

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SEKAR, BOOMA DEVI, TAK SON CHEANG, MING CHUI DONG, and SI LEONG CHAN. "HIERARCHICAL BAYESIAN FUZZY INFERENCE NETS FOR INTERNAL FAULT DIAGNOSIS OF THREE-PHASE SQUIRREL CAGE INDUCTION MOTOR." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 01 (2010): 53–68. http://dx.doi.org/10.1142/s0218488510006386.

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A generalized Bayesian inference nets model (GBINM) and a new approach for internal fault detection and diagnosis of three-phase induction motor is proposed. The input data set for designing and testing the fault diagnostic system are acquired through on-site experiment. The preprocessed input data and experts' rich diagnostic experience/knowledge are used to define the membership functions and fault fuzzy sets. With GBINM and the defined fault fuzzy sets, the hierarchical Bayesian fuzzy inference nets are constructed to carry out the complex motor fault diagnostic procedure. The propagation o

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Bourdim, Samia, Kamel Eddine Hemsas, and Youcef Harbouche. "Intelligent Diagnostic of Induction Machine for Faults Detection and Classification Using Wavelet and Fuzzy Inference." Applied Mechanics and Materials 789-790 (September 2015): 597–603. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.597.

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An intelligent diagnostic method based on 3-D plot continuous wavelet transform (3-D plot CWT) and fuzzy inference system is presented to investigate the detectability and classification of rotor broken bars faults in induction machine (IM) and to overcome the limitation of classical Fourier Transform (FT). This approach is successfully used with Motor Current Signature Analysis (MCSA) and suitable developed model of IM in healthy and faulty mode using Matlab environment. As first step we performed new results using 3-D plot CWT to extract the discriminating features. The features extracted fr

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Bourdim, Samia, Kamel Eddine Hemsas, Youcef Harbouche, and Rachid Abdssemed. "Intelligent Diagnostic of Induction Machine for Faults Detection and Classification Using Wavelet and Fuzzy Inference." Applied Mechanics and Materials 799-800 (October 2015): 964–70. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.964.

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An intelligent diagnostic method based on 3-D plot continuous wavelet transform (3-D plot CWT) and fuzzy inference system is presented to investigate the detectability and classification of rotor broken bars faults in induction machine (IM) and to overcome the limitation of classical Fourier Transform (FT). This approach is successfully used with Motor Current Signature Analysis (MCSA) and suitable developed model of IM in healthy and faulty mode using Matlab environment. As first step we performed new results using 3-D plot CWT to extract the discriminating features. The features extracted fr

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Ali, Mohamed M. Ismail, and M. A. Moustafa Hassan. "Parameter Identification Using ANFIS for Magnetically Saturated Induction Motor." International Journal of System Dynamics Applications 1, no. 2 (2012): 28–43. http://dx.doi.org/10.4018/ijsda.2012040103.

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The problem of controlling the p-model induction motor with magnetic saturation is considered in this paper. The motor parameters such that stator resistance Rs, rotor resistance Rr and load torque TL can be varied during the operation, many techniques are used for online identification of the motor parameters. In this paper, the authors use a new technique which is the Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique for online identification of the motor parameters. A simulation study is illustrated using MATLAB/Simulink depending on stator currents and speed measurements. All the un

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Cao, Jun Bin, Er Min Guo, and Yan Li. "Design of Fault Diagnosis Expert System for Certain Type of Aircraft Electrical Power." Advanced Materials Research 466-467 (February 2012): 1186–90. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1186.

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In order to diagnose and exempt the fault of aircraft electrical system accurately and fast, on the basis of analyzing the lost mode and fault mechanism of certain aircraft electrical system, fault structure are built and structure are built and fault models are analyzed by adopting the analytical technology based on regular fault structure. Two induction mechanisms, namely directional and anti-directional inference are introduced and the component methods are studied based on the knowledge corpus of data corpus technique. The result shows the inference results of fault diagnosis system are in

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Ouyang, Jun, and David Lowther. "A novel adaptation approach for electromagnetic device optimization." Archives of Electrical Engineering 60, no. 4 (2011): 473–83. http://dx.doi.org/10.2478/v10171-011-0039-y.

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A novel adaptation approach for electromagnetic device optimizationThe ability of case-based reasoning systems to solve new problems mainly depends on their case adaptation knowledge and adaptation strategies. In order to carry out a successful case adaptation in our case-based reasoning system for a low frequency electromagnetic device design, we make use of semantic networks to organize related domain knowledge, and then construct a rule-based inference system which is based on the network. Furthermore, based on the inference system, a novel adaptation algorithm is proposed to derive a new d

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ĆWIK, Bogdan. "THE CONCEPT OF THREAT MODEL IN THE ASPECT OF SAFETY IN LOGISTIC SYSTEMS." Systemy Logistyczne Wojsk 2, no. 47 (2017): 44–58. http://dx.doi.org/10.5604/01.3001.0011.5995.

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The overall aim of the study is to improve the processes of threat monitoring in military logistic systems, while the specific objective is to uniquely define the concept of a threat in the process of perceiving warning signals. This work uses the following scientific methods: analysis and criticism of literature, analysis and logical construction, as well as the heuristic methods: “new look” method and the analogue transfer method. These concepts incorporate the method of inference, including deductive inference combined with enumerative induction. The work resulted in the concept of threat m

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Mingers, J. "Abduction: the missing link between deduction and induction. A comment on Ormerod's ‘rational inference: deductive, inductive and probabilistic thinking’." Journal of the Operational Research Society 63, no. 6 (2012): 860–61. http://dx.doi.org/10.1057/jors.2011.85.

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ENANY, Taha Ahmed, Mohamed Ahmed MOUSTAFA HASSAN, and El Said OTHMAN. "Induction motor temperature monitoring via signal injection enhanced with adaptive neuro-fuzzy inference system." European Journal of Electrical Engineering 19, no. 1-2 (2017): 91–109. http://dx.doi.org/10.3166/ejee.19.91-109.

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