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Revising Probabilistic Prolog Programs [chapter]

Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
2007 Lecture Notes in Computer Science  
Here, we define and study the problem of revising ProbLog theories from examples.  ...  In a recently submitted paper [1], the ProbLog (probabilistic prolog) language has been introduced and various algorithms have been developed for solving and approximating ProbLog queries.  ...  Conclusion We have introduced a new type of theory revision problem involving probabilistic theories and sketched an algorithm for solving it.  ... 
doi:10.1007/978-3-540-73847-3_7 fatcat:eawkno5nxvgvhiozhjte3pdaiu

On the use of stochastic local search techniques to revise first-order logic theories from examples

Aline Paes, Gerson Zaverucha, Vítor Santos Costa
2016 Machine Learning  
Theory Revision from Examples is the process of repairing incorrect theories and/or improving incomplete theories from a set of examples.  ...  This process usually results in more accurate and comprehensible theories than purely inductive learning.  ...  We would like to thank all the authors of previous work that made their systems and datasets publicly available.  ... 
doi:10.1007/s10994-016-5595-3 fatcat:ofvixddaxnethgytnd4t67gkhu

Introduction to the special issue "Beliefs in Groups" of Theory and Decision

Franz Dietrich, Wlodek Rabinowicz
2018 Theory and Decision  
fourth contribution, and qualitative probabilities ('probability grades') in the fifth contribution.  ...  This symposium in the overlap of philosophy and decision theory is described well by its title "Beliefs in Groups". Each word in the title matters, with one intended ambiguity.  ...  Compliance with ethical standards Funding Funding was provided by Agence Nationale de la Recherche (ANR) and Deutsche Forschungsgemeinschaft (DFG) (ColAForm).  ... 
doi:10.1007/s11238-018-9654-z fatcat:3c5dpsop5jdqrlmtkekkenlwea

When is an Example a Counterexample? [article]

Eric Pacuit, Arthur Paul Pedersen, Jan-Willem Romeijn
2013 arXiv   pre-print
We suggest that the example is better seen as a failure to apply the theory of belief revision in sufficient detail.  ...  The main contribution is conceptual aiming at the literature on the philosophical foundations of the AGM theory of belief revision [1].  ...  The key step is to forge a connection between the AGM theory of belief revision and nonstandard probability measures.  ... 
arXiv:1310.6432v1 fatcat:hnbtyhbc4zfbpjnmmnq3llw3w4

The Probability of a Possibility: Adding Uncertainty to Default Rules [chapter]

Craig Boutilier
1993 Uncertainty in Artificial Intelligence  
We also show how our system can be viewed as a unification of probability theory and possi bility theory, highlighting their orthogonality and providing a means for expressing the probability of a possibility  ...  Thus, our system accounts for the best properties of qualitative methods of update (in particular, the AGM theory of revision) and probabilistic meth ods.  ...  In this sense, our logic is a unification of probability theory and possibility theory that highlights their orthogonality and adds to possibility theory the means to express the probability of a possibility  ... 
doi:10.1016/b978-1-4832-1451-1.50060-3 fatcat:2s23ivvf55grxau7g3fwsqujhi

Is the mind Bayesian? The case for agnosticism

Jean Baratgin, Guy Politzer
2006 Mind & Society  
They regard (i) the background of revision (the Bayesian model considers only revising situations but not updating situations), and (ii) the notorious case of the null priors.  ...  for it to be the basis of a probability judgment by individual participants.  ...  Acknowledgments The authors thank Denis Hilton, David Over and Steve Sloman for their comments on various drafts of this paper.  ... 
doi:10.1007/s11299-006-0007-1 fatcat:y6ppplqkpjg7tlhwpixsdihntu

MODELING PARTIAL IGNORANCE IN ARTIFICAL INTELLIGENCE APPLICATIONS

Oleg Uzhga-Rebrov
2005 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
This study aims to extend and deepen a survey of modern extensions of probability theory represented in [6, 7].  ...  The classical probability theory possesses rather limited possibilities and cannot cope with situations of partial ignorance. Other approaches are required allowing one to solve tasks of that kind.  ...  In probability theory, both G-revision and F-revision are implemented by means of Bayes' theorem.  ... 
doi:10.17770/etr2005vol1.2151 fatcat:3kqynm2tefa6zfy4apb3uqdahq

Paradigms, possibilities, and probabilities: Comment on Hinterecker, Knauff, and Johnson-Laird (2016)

Mike Oaksford, David Over, Nicole Cruz
2019 Journal of Experimental Psychology. Learning, Memory and Cognition  
Hinterecker, Knauff, and Johnson-Laird (2016) compared the adequacy of the probabilistic new paradigm in reasoning with the recent revision of mental models theory (MMT) for explaining a novel class of  ...  It is also argued that the revision of MMT is not well motivated and its adoption leads to many logical absurdities.  ...  No computational level theory of revised MMT.  ... 
doi:10.1037/xlm0000586 pmid:30688496 fatcat:pxcq7zmhxbdrled4i5pw3mnbou

Page 1044 of The American Economic Review Vol. 40, Issue 5 [page]

1950 The American Economic Review  
; and up to date information on the United Nations and the International Trade Organization. probably 704 pp. $425 MONEY AND BANKING, Revised Raymond P.  ...  Kent, Univ. of Notre Dame As in the original edition, this revision maintains a balance between the discussion of monetary and banking theory, and the description of banking institutions.  ... 

Taking Advantage of Difference in Opinion

Richard Bradley
2006 Episteme: A journal of individual and social epistemology  
In particular, it argues that rational individual revision of opinion implies that aggregation problems are unstable in a certain sense and that solving them by exploiting the information embedded in individual  ...  ABSTRACTDiversity of opinion both presents problems and affords opportunities. Differences of opinion can stand in the way of reaching an agreement within a group on what decisions to take.  ...  Answers to this question are given by theories of revision: Bayesian conditioning models for probability revision are perhaps the best known -see Joyce [11] -but there are also well developed theories  ... 
doi:10.3366/epi.2006.3.3.141 fatcat:puywwf37ifazlhvvjn72dka7q4

Probability and statistics: 5 questions

2010 ChoiceReviews  
How do you conceive of the relationship between probability theory and/or statistics and other disciplines?  ...  What do you consider the most neglected topics and/or contributions in probability theory and/or statistics?  ... 
doi:10.5860/choice.47-5706 fatcat:l4wi5ghmcnc65k6kja7l2gebtu

Revising de Broglie-Bohm trajectories' momentum distribution [article]

Dennis M. Heim
2022 arXiv   pre-print
For this purpose, we use the de Broglie-Bohm theory and the revised theory. The results are compared in position and in momentum space.  ...  This is not fulfilled by either the de Broglie-Bohm theory or the revised theory.  ... 
arXiv:2201.05971v1 fatcat:tt6rtw6nvjc7ppr7zmqoafnxv4

Bias-Driven Revision of Logical Domain Theories

M. Koppel, R. Feldman, A. M. Segre
1994 The Journal of Artificial Intelligence Research  
The theory revision problem is the problem of how best to go about revising a deficient domain theory using information contained in examples that expose inaccuracies.  ...  PTR is proved to converge to a theory which correctly classifies all examples, and shown experimentally to be fast and accurate even for deep theories.  ...  The authors also wish to thank the JAIR reviewers for their exceptionally prompt and helpful remarks.  ... 
doi:10.1613/jair.27 fatcat:dg72tshzjrakvkzvd3dqcbgaqy

Heuristics and normative models of judgment under uncertainty

Pei Wang
1996 International Journal of Approximate Reasoning  
This paper argues that probability theory has limitations even as a normatiue model.  ...  KEYWORDS: subjective probability, normative and descriptive models, heuristics and bias, insufficient knowledge and resources, nonaxiomatic reasoning system.  ...  do (according to probability theory) and what we do (according to psychological experiments).  ... 
doi:10.1016/0888-613x(95)00091-t fatcat:t4etiifnljb3pdvlmcnz5nivse

Page 10 of Mathematical Reviews Vol. , Issue 90I [page]

1990 Mathematical Reviews  
In the probabilistic case, belief states are modelled by probability functions and belief revision (or, better, probability revision) by mappings from probability functions to probability functions.  ...  if, for some P in P, A=t(P) and B = t(P*x), where P is the set of all possible probability functions, ¢(P) is the “top” of P and * is a probability revision operation.  ... 
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