"Representing and reasoning with probabilistic knowledge: a logical approach to probabilities"

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Book	Author(s)	Year	Publisher
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities	Fahiem Bacchus	1990	MIT Press
Bayesian Rationality: The probabilistic approach to human reasoning	Mike Oaksford; Nick Chater	2007	Oxford University Press
Statistical Reasoning with Imprecise Probabilities	Peter Walley (auth.)	1991	Springer US
Logical Reasoning with Diagrams	Gerard Allwein; Jon Barwise	1996	Oxford University Press
Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach	Yang Xiang	2002-08	Cambridge University Press
Logical reasoning	Bradley Harris Dowden	1993	Wadsworth Pub. Co.
Computational learning and probabilistic reasoning /	Gammerman, A.	[1996], ©1996.	J. Wiley and Sons,
Probabilistic Knowledge	Sarah Moss	2018	Oxford University Press
Probabilistic knowledge	Moss, Sarah	2018	Oxford University Press
Logical reasoning: a first course	Rob. Nederpelt; Fairouz. Kamareddine	2011	King's College Publications
Probabilistic Approach to Mechanisms	B.Z. Sandler	1984	Elsevier
Reasoning with probabilistic and deterministic graphical models: exact algorithms	Rina Dechter	2013	Morgan & Claypool Publishers
Reasoning with Probabilistic and Deterministic Graphical Models. Exact Algorithms	Rina Dechter	2019	Morgan & Claypool
Representing Uncertain Knowledge: An Artificial Intelligence Approach	Paul Krause; Dominic Clark	1993	Springer Netherlands
Spatial Cognition: An Interdisciplinary Approach to Representing and Processing Spatial Knowledge	Christian Freksa; Christopher Habel; Karl F. Wender	1998	Springer Berlin Heidelberg
Representing and Reasoning with Qualitative Preferences: Tools and Applications	Ganesh Ram Santhanam; Samik Basu; Vasant Honavar		Springer International Publishing
Representing and Reasoning With Qualitative Preferences: Tools and Applications	Ganesh Ram Santhanam, Samik Basu, Vasant Honavar	2016	Morgan & Claypool
Elements of Logical Reasoning	Jan von Plato	2014-01	Cambridge University Press
A Logical Approach to Discrete Math	David Gries; Fred B. Schneider	1993	Springer New York
How to draw, a logical approach.	Edward B. Kaminski	1949	McGraw-Hill Book Co.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Representing and Reasoning With Probabilistic Knowledge: A Bayesian Approach	Marie des Jardins	Uncertainty in Artificial Intelligence, 1993	David Heckerman and Abe Mamdani	1993	Morgan Kaufmann
A Logical Approach to Representing and Reasoning About Space	A. G. Cohn; J. M. Gooday; B. Bennett; N. M. Gotts	Integration of Natural Language and Vision Processing: Theory and Grounding Representations Volume III	Paul Mc Kevitt	1996	Springer Netherlands
Representing and reasoning with knowledge	Soumitra Dutta	Knowledge Processing and Applied Artificial Intelligence	Soumitra Dutta	1993	Butterworth-Heinemann
Acquiring, representing, and reasoning with knowledge		Knowledge Processing and Applied Artificial Intelligence	Soumitra Dutta	1993	Butterworth-Heinemann
Integrating Probabilistic and Logical Reasoning	James Cussens	Foundations of Bayesianism	D. Corfield; J. Williamson	2001	Springer Netherlands
Unifying Logical and Probabilistic Reasoning	Rolf Haenni	Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005, Proceedings	Lluis Godo	2005	Springer Berlin Heidelberg
A Logical Study on Qualitative Default Reasoning with Probabilities	Christoph Beierle; Gabriele Kern-Isberner	Logic for Programming, Artificial Intelligence, and Reasoning: 10th International Conference, LPAR 2003, Almaty, Kazakhstan, September 22-26, 2003, Proceedings	Moshe Vardi; Andrei Voronkov	2003	Springer Berlin Heidelberg
A Logical Approach to Qualitative and Quantitative Reasoning	Emad Saad	Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 9th European Conference, ECSQARU 2007, Hammamet, Tunisia, October 31 - November 2, 2007, Proceedings	Khaled Mellouli	2007	Springer Berlin Heidelberg
A logical approach to multi-sources reasoning	Laurence Cholvy	Knowledge Representation and Reasoning Under Uncertainty: Logic at Work	Michael Masuch; Laszlo Polos	1994	Springer Berlin Heidelberg
Agreement: A logical approach to approximate reasoning	Luis M. M. Gustódio; Carlos A. Pinto-Ferreira	Progress in Artificial Intelligence: 7th Portuguese Conference on Artificial Intelligence, EPIA ' 95, Funchal, Madeira Island, Portugal, October 3 - 6, 1995. Proceedings	Carlos Pinto-Ferreira; Nuno J. Mamede	1995	Springer Berlin Heidelberg
Probabilistic Argumentation Frameworks – A Logical Approach	Dragan Doder; Stefan Woltran	Scalable Uncertainty Management: 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014, Proceedings	Umberto Straccia; Andrea Cali	2014	Springer International Publishing
Kernel knowledge versus belt knowledge in default reasoning: A logical approach	M. A. Nati Abdallah	Advances in Computing and Information - ICCI ' 91: International Conference on Computing and Information, Ottawa, Canada, May 27-29, 1991. Proceedings	Frank Dehne; Frantisek Fiala; Waldemar W. Koczkodaj	1991	Springer Berlin Heidelberg
Representing and Reasoning About Logical Network Topologies	Shaun Voigt; Catherine Howard; Dean Philp; Christopher Penny	Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers	Madalina Croitoru; Pierre Marquis; Sebastian Rudolph; Gem Stapleton	1st ed. 2018	Springer International Publishing
Integrating Logical Reasoning and Probabilistic Chain Graphs	Arjen Hommersom; Nivea Ferreira; Peter J. F. Lucas	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I	Wray Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor	2009	Springer Berlin Heidelberg
Representing and Reasoning On Spatial Knowledge	Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predrag Janicic; Cassio Pennachin	Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference	Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predrag Janičić; Cassio Pennachin	2011	Atlantis Press
Representing and Reasoning on Contextual Knowledge	Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predrag Janicic; Cassio Pennachin	Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference	Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predrag Janičić; Cassio Pennachin	2011	Atlantis Press
Qualitative Reasoning with Probabilities		Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference	Judea Pearl	1988	Morgan Kaufmann
A competence–procedural and developmental approach to logical reasoning	Maxwell J. Roberts	Integrating the Mind: Domain General Versus Domain Specific Processes in Higher Cognition	Maxwell J. Roberts	2007	Routledge
Recent Successes with a Meta-Logical Approach to Universal Logical Reasoning (Extended Abstract)	Christoph Benzmüller	Formal Methods: Foundations and Applications: 20th Brazilian Symposium, SBMF 2017, Recife, Brazil, November 29 — December 1, 2017, Proceedings	Simone Cavalheiro; José Fiadeiro	1st ed. 2017	Springer International Publishing
Representing and reasoning with context	Richmond H. Thomason	Artificial Intelligence and Symbolic Computation: International Conference AISC' 98, Plattsburgh, New York, USA, September 16-18, 1998, Proceedings	Jacques Calmet; Jan Plaza	1998	Springer Berlin Heidelberg
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