Bücher zum Thema „Computational reasoning“

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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