Information graphs and their use for Bayesian network graph construction

[1]  Henry PRAKKEN,et al.  Deductive and Abductive Reasoning with Causal and Evidential Information , 2020, COMMA.

[2]  Reyes Juárez-Ramírez,et al.  Construction of Conditional Probability Tables of Bayesian Networks using Ontologies and Wikipedia , 2019, Computación y Sistemas.

[3]  Henry Prakken,et al.  Constructing Bayesian Network Graphs from Labeled Arguments , 2019, ECSQARU.

[4]  Bas Kokshoorn,et al.  The evaluation of fingermarks given activity level propositions. , 2019, Forensic science international.

[5]  Henry Prakken,et al.  Supporting Discussions About Forensic Bayesian Networks Using Argumentation , 2019, ICAIL.

[6]  Kevin Crosby Arguments , 2019, A Cultural History of Law in the Age of Reform.

[7]  Henry Prakken,et al.  Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments , 2018, JURIX.

[8]  L. Timmers The Hybrid Theory in Practice: a case study at the Dutch police force , 2017 .

[9]  Henry Prakken,et al.  A two-phase method for extracting explanatory arguments from Bayesian networks , 2017, Int. J. Approx. Reason..

[10]  Floris Bex,et al.  From Arguments to Constraints on a Bayesian Network , 2016, COMMA.

[11]  Floris Bex An integrated theory of causal stories and evidential arguments , 2015, ICAIL.

[12]  Norman Fenton,et al.  Modelling crime linkage with Bayesian networks. , 2015, Science & justice : journal of the Forensic Science Society.

[13]  Colin Aitken,et al.  Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science , 2014 .

[14]  Jeroen Keppens On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning , 2014, Artificial Intelligence and Law.

[15]  Henry Prakken,et al.  On logical specifications of the Argument Interchange Format , 2013, J. Log. Comput..

[16]  Norman Fenton,et al.  Risk Assessment and Decision Analysis with Bayesian Networks , 2012 .

[17]  Stefan Fenz,et al.  An ontology-based approach for constructing Bayesian networks , 2012, Data Knowl. Eng..

[18]  Henry Prakken,et al.  An abstract framework for argumentation with structured arguments , 2010, Argument Comput..

[19]  A. Philip Dawid,et al.  Beware of the DAG! , 2008, NIPS Causality: Objectives and Assessment.

[20]  Adnan Darwiche,et al.  Modeling and Reasoning with Bayesian Networks , 2009 .

[21]  Sicco Pier van Gosliga,et al.  Hypothesis Management Framework: a flexible design pattern for belief networks in decision support systems , 2008, BMA.

[22]  Henry Prakken,et al.  Representing narrative and testimonial knowledge in sense-making software for crime analysis , 2008, JURIX.

[23]  Vincenzo Crupi,et al.  On Bayesian Measures of Evidential Support: Theoretical and Empirical Issues* , 2007, Philosophy of Science.

[24]  Fabio Gagliardi Cozman,et al.  Belief Updating and Learning in Semi-Qualitative Probabilistic Networks , 2005, UAI.

[25]  David Poole,et al.  Representing diagnosis knowledge , 1994, Annals of Mathematics and Artificial Intelligence.

[26]  Henry Prakken,et al.  Towards a Formal Account of Reasoning about Evidence: Argumentation Schemes and Generalisations , 2003, Artificial Intelligence and Law.

[27]  Linda C. van der Gaag,et al.  Experiences with Modelling Issues in Building Probabilistic Networks , 2002, EKAW.

[28]  Silja Renooij,et al.  From Qualitative to Quantitative Probabilistic Networks , 2002, UAI.

[29]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[30]  Fabio Gagliardi Cozman,et al.  Credal networks , 2000, Artif. Intell..

[31]  Kathryn B. Laskey,et al.  Network Fragments: Representing Knowledge for Constructing Probabilistic Models , 1997, UAI.

[32]  Avi Pfeffer,et al.  Object-Oriented Bayesian Networks , 1997, UAI.

[33]  D. Schum,et al.  A Probabilistic Analysis of the Sacco and Vanzetti Evidence , 1996 .

[34]  Phan Minh Dung,et al.  On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and n-Person Games , 1995, Artif. Intell..

[35]  Marek J. Druzdzel,et al.  Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information , 1995, UAI.

[36]  Marek J. Druzdzel,et al.  Intercausal Reasoning with Uninstantiated Ancestor Nodes , 1993, UAI.

[37]  Daniele Theseider Dupré,et al.  Adcuctive Reasoning with Abstraction Axioms , 1992, ECAI Workshop on Knowledge Representation and Reasoning.

[38]  Murray Shanahan,et al.  Prediction is Deduction but Explanation is Abduction , 1989, IJCAI.

[39]  Judea Pearl,et al.  Embracing Causality in Default Reasoning , 1988, Artif. Intell..

[40]  Raymond Reiter,et al.  A Logic for Default Reasoning , 1987, Artif. Intell..

[41]  J. Wigmore,et al.  The Principles of Judicial Proof , 1933 .