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1

A, Gammerman, ed. Computational learning and probabilistic reasoning. Chichester: Wiley, 1996.

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2

1942-, Chandrasekaran B., Glasgow Janice, and Narayanan N. Hari, eds. Diagrammatic reasoning: Cognitive and computational perspectives. Menlo Park, Calif: AAAI Press, 1995.

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3

Prade, Henri, and Gilles Richard, eds. Computational Approaches to Analogical Reasoning: Current Trends. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54516-0.

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4

1971-, Feeney Aidan, and Heit Evan 1965-, eds. Inductive reasoning: Experimental, developmental, and computational approaches. Cambridge: Cambridge University Press, 2007.

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5

Magnani, Lorenzo, Nancy J. Nersessian, and Claudio Pizzi, eds. Logical and Computational Aspects of Model-Based Reasoning. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0550-0.

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6

Lorenzo, Magnani, Nersessian Nancy J, Pizzi Claudio 1944-, and International Conference on Model-Based Reasoning: Scientific Discovery, Technological Innovation, Values (2001 : Pavia, Italy )., eds. Logical and computational aspects of model-based reasoning. Dordrecht: Kluwer Academic, 2002.

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7

Vapnik, Vladimir Naumovich. The nature of statistical learning theory. New York: Springer, 1995.

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8

Rennels, Glenn D. A Computational Model of Reasoning from the Clinical Literature. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-93363-9.

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9

Rennels, Glenn D. A Computational model of reasoning from the clinical literature. Berlin: Springer-Verlag, 1987.

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10

Italy) COMMA (Conference) (3rd 2010 Desenzano del Garda. Computational models of argument: Proceedings of COMMA 2010. Amsterdam: IOS Press, 2010.

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11

International Conference on Computational Models of Argument (1st 2006 University of Liverpool). Computational models of argument: Proceedings of COMMA 2006. Amsterdam: IOS Press, 2006.

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12

Austria) COMMA 2012 (2012 Vienna. Computational models of argument: Proceedings of COMMA 2012. Amsterdam: IOS Press, 2012.

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13

Levesque, Hector J. Logic and the complexity of reasoning. Toronto: Dept. of Computer Science, University of Toronto, 1989.

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14

Jeff, Shrager, Langley Pat, Institute for the Study of Learning and Expertise., and Symposium on Computational Models of Scientific Discovery and Theory Formation (1989 : Stanford University), eds. Computational models of scientific discovery and theory formation. San Mateo, Calif: Morgan Kaufmann Publishers, 1990.

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15

Pizzi, Claudio, Walter A. Carnielli, and Lorenzo Magnani. Model-based reasoning in science and technology: Abduction, logic, and computational discovery. Berlin: Springer Verlag, 2010.

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16

Cignoli, Roberto L. O. Algebraic Foundations of Many-Valued Reasoning. Dordrecht: Springer Netherlands, 2000.

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17

Branting, L. Karl. Reasoning with Rules and Precedents: A Computational Model of Legal Analysis. Dordrecht: Springer Netherlands, 2000.

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18

Branting, Karl. Reasoning with rules and precedents: A computational model of legal analysis. Dordrecht: Kluwer Academic Publishers, 2000.

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19

Gerhard, Schurz, and Uršič Marko, eds. Beyond classical logic: Philosophical and computational investigations in deductive reasoning and relevance. Sankt Augustin: Academia Verlag, 1999.

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20

Bühler, Dirk. Domain-level reasoning for spoken dialogue systems. New York: Springer, 2011.

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21

Petra, Perner, ed. Case-based reasoning on images and signals. Berlin: Springer, 2008.

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22

DeBessonet, Cary G. A many-valued approach to deduction and reasoning for artificial intelligence. Boston: Kluwer Academic, 1991.

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23

Reed, Chris. Argumentation Machines: New Frontiers in Argument and Computation. Dordrecht: Springer Netherlands, 2004.

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24

author, Lang Duncan Temple, ed. Data science in R: A case studies approach to computational reasoning and problem solving. Boca Raton: CRC Press, 2015.

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25

Ohlbach, Hans Jürgen. Logic, Language and Reasoning: Essays in Honour of Dov Gabbay. Dordrecht: Springer Netherlands, 1999.

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26

Kountchev, Roumen. Advances in Reasoning-Based Image Processing Intelligent Systems: Conventional and Intelligent Paradigms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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27

Magnani, Lorenzo, and Ping Li. Model-based reasoning in science, technology, and medicine. Berlin: Springer, 2010.

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28

MBR China 2006 (2006 Guangzhou, China). Model-based reasoning in science, technology, and medicine. Berlin: Springer, 2007.

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29

Gammerman, A. Computational Learning and Probabilistic Reasoning. Wiley & Sons, Incorporated, John, 2000.

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30

(Editor), Janice Glasgow, N. Hari Narayanan (Editor), and B. Chandrasekaran (Editor), eds. Diagrammatic Reasoning: Cognitive and Computational Perspectives. AAAI Press, 1995.

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31

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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32

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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33

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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34

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2010.

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35

(Editor), Aidan Feeney, and Evan Heit (Editor), eds. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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36

Prade, Henri, and Gilles Richard. Computational Approaches to Analogical Reasoning: Current Trends. Springer, 2016.

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37

Prade, Henri, and Gilles Richard. Computational Approaches to Analogical Reasoning: Current Trends. Springer, 2014.

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38

(Editor), Aidan Feeney, and Evan Heit (Editor), eds. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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39

Prade, Henri, and Gilles Richard. Computational Approaches to Analogical Reasoning: Current Trends. Springer, 2014.

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40

Case Based Design Studies in Computational Intelligence. Springer, 2010.

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41

Baroni, P., T. F. Gordon, and T. Scheffler. Computational Models of Argument: Proceedings of COMMA 2016. IOS Press, Incorporated, 2016.

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42

Rennels, Glenn D. Computational Model of Reasoning from the Clinical Literature. Springer London, Limited, 2012.

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43

Chen, Chung-Hao. Computational Models for Biomedical Reasoning and Problem Solving. IGI Global, 2019.

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44

Herrera, Francisco, Ajith Abraham, and Aboul-Ella Hassanien. Foundations of Computational Intelligence Volume 2: Approximate Reasoning. Springer London, Limited, 2009.

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45

Nersessian, N. J., L. Magnani, and Claudio Pizzi. Logical and Computational Aspects of Model-Based Reasoning. Springer, 2012.

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46

Rennels, Glenn D. Computational Model of Reasoning from the Clinical Literature. Island Press, 1987.

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47

Foundations of Computational Intelligence Volume 2: Approximate Reasoning. Springer Berlin / Heidelberg, 2010.

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48

A Computational Model of Reasoning from the Clinical Literature. Springer, 1987.

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49

McEneaney, William M., and Alexander W. Kott. Adversarial Reasoning - Computational Approaches to Reading the Opponent's Mind. Taylor & Francis Group, 2010.

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50

McEneaney, William M., and Alexander Kott. Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind. Taylor & Francis Group, 2006.

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