# Adnan Darwiche

According to our database

Collaborative distances:

^{1}, Adnan Darwiche authored at least 209 papers between 1988 and 2018.Collaborative distances:

## Timeline

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## Bibliography

2018

An Exhaustive DPLL Algorithm for Model Counting.

J. Artif. Intell. Res., 2018

On pruning with the MDL Score.

Int. J. Approx. Reasoning, 2018

On the Relative Expressiveness of Bayesian and Neural Networks.

CoRR, 2018

A Symbolic Approach to Explaining Bayesian Network Classifiers.

CoRR, 2018

Human-level intelligence or animal-like abilities?

Commun. ACM, 2018

Formal Verification of Bayesian Network Classifiers.

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

On the Relative Expressiveness of Bayesian and Neural Networks.

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Symbolic Approach to Explaining Bayesian Network Classifiers.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Conditional PSDDs: Modeling and Learning With Modular Knowledge.

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Recent Trends in Knowledge Compilation (Dagstuhl Seminar 17381).

Dagstuhl Reports, 2017

On Compiling DNNFs without Determinism.

CoRR, 2017

On Relaxing Determinism in Arithmetic Circuits.

CoRR, 2017

Human-Level Intelligence or Animal-Like Abilities?

CoRR, 2017

Learning Bayesian network parameters under equivalence constraints.

Artif. Intell., 2017

A Tractable Probabilistic Model for Subset Selection.

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Tractability in Structured Probability Spaces.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimal Feature Selection for Decision Robustness in Bayesian Networks.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Open-World Probabilistic Databases: An Abridged Report.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On Relaxing Determinism in Arithmetic Circuits.

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Reports of the 2016 AAAI Workshop Program.

AI Magazine, 2016

On Pruning with the MDL Score.

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Tractable Operations for Arithmetic Circuits of Probabilistic Models.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Bayesian networks with ancestral constraints.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Solving PP

^{PP}-Complete Problems Using Knowledge Compilation.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Open-World Probabilistic Databases.

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Open World Probabilistic Databases (Extended Abstract).

Proceedings of the 29th International Workshop on Description Logics, 2016

Enumerating Equivalence Classes of Bayesian Networks using EC Graphs.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Preface: The Beyond NP Workshop.

Proceedings of the Beyond NP, 2016

Structured Features in Naive Bayes Classification.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Dual Decomposition from the Perspective of Relax, Compensate and then Recover.

CoRR, 2015

An Upper Bound on the Global Optimum in Parameter Estimation.

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Computer Adaptive Testing Using the Same-Decision Probability.

Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Tractable Learning for Complex Probability Queries.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Data Compression for Learning MRF Parameters.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Top-Down Compiler for Sentential Decision Diagrams.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Bayesian Networks with Non-Decomposable Scores.

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2015

Probability Distributions over Structured Spaces.

Proceedings of the 2015 AAAI Spring Symposia, 2015

Value of Information Based on Decision Robustness.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

On the Role of Canonicity in Knowledge Compilation.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Algorithms and Applications for the Same-Decision Probability.

J. Artif. Intell. Res., 2014

Query DAGs: A Practical Paradigm for Implementing Belief Network Inference.

CoRR, 2014

When do Numbers Really Matter?

CoRR, 2014

On the Role of Canonicity in Bottom-up Knowledge Compilation.

CoRR, 2014

Decomposing Parameter Estimation Problems.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Probabilistic Sentential Decision Diagrams.

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Skolemization for Weighted First-Order Model Counting.

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

CV-width: A New Complexity Parameter for CNFs.

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

On Compiling CNF into Decision-DNNF.

Proceedings of the Principles and Practice of Constraint Programming, 2014

Tractable Knowledge Representation Formalisms.

Proceedings of the Tractability: Practical Approaches to Hard Problems, 2014

2013

Software health management with Bayesian networks.

ISSE, 2013

Objection-Based Causal Networks

CoRR, 2013

Argument Calculus and Networks

CoRR, 2013

On the Relation between Kappa Calculus and Probabilistic Reasoning

CoRR, 2013

Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty

CoRR, 2013

Conditioning Methods for Exact and Approximate Inference in Causal Networks

CoRR, 2013

A Standard Approach for Optimizing Belief Network Inference using Query DAGs

CoRR, 2013

Dynamic Jointrees

CoRR, 2013

Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (2002)

CoRR, 2013

Any-Space Probabilistic Inference

CoRR, 2013

A Differential Approach to Inference in Bayesian Networks

CoRR, 2013

Approximating MAP using Local Search

CoRR, 2013

Skolemization for Weighted First-Order Model Counting.

CoRR, 2013

On the Complexity and Approximation of Binary Evidence in Lifted Inference.

CoRR, 2013

EDML for Learning Parameters in Directed and Undirected Graphical Models.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On the Complexity and Approximation of Binary Evidence in Lifted Inference.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

An Exact Algorithm for Computing the Same-Decision Probability.

Proceedings of the IJCAI 2013, 2013

Compiling Probabilistic Graphical Models Using Sentential Decision Diagrams.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Dynamic Minimization of Sentential Decision Diagrams.

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Same-decision probability: A confidence measure for threshold-based decisions.

Int. J. Approx. Reasoning, 2012

Solving MAP Exactly using Systematic Search

CoRR, 2012

Reasoning about Bayesian Network Classifiers

CoRR, 2012

New Advances in Inference by Recursive Conditioning

CoRR, 2012

New Advances and Theoretical Insights into EDML

CoRR, 2012

Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference

CoRR, 2012

Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters

CoRR, 2012

Exploiting Evidence in Probabilistic Inference

CoRR, 2012

On Bayesian Network Approximation by Edge Deletion

CoRR, 2012

Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks

CoRR, 2012

Approximating the Partition Function by Deleting and then Correcting for Model Edges

CoRR, 2012

EDML: A Method for Learning Parameters in Bayesian Networks

CoRR, 2012

A Variational Approach for Approximating Bayesian Networks by Edge Deletion.

CoRR, 2012

On the Robustness of Most Probable Explanations.

CoRR, 2012

New Advances and Theoretical Insights into EDML.

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference.

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Generalized Decision Diagrams: The game is not over yet!

Proceedings of the ECAI 2012, 2012

Basing Decisions on Sentences in Decision Diagrams.

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

The Language of Search

CoRR, 2011

Complexity Results and Approximation Strategies for MAP Explanations

CoRR, 2011

A Knowledge Compilation Map

CoRR, 2011

When do Numbers Really Matter?

CoRR, 2011

On the power of clause-learning SAT solvers as resolution engines.

Artif. Intell., 2011

EDML: A Method for Learning Parameters in Bayesian Networks.

Proceedings of the UAI 2011, 2011

SDD: A New Canonical Representation of Propositional Knowledge Bases.

Proceedings of the IJCAI 2011, 2011

2010

Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study.

IEEE Trans. Systems, Man, and Cybernetics, Part A, 2010

On Modern Clause-Learning Satisfiability Solvers.

J. Autom. Reasoning, 2010

Bayesian networks.

Commun. ACM, 2010

Optimal algorithms for haplotype assembly from whole-genome sequence data.

Bioinformatics [ISMB], 2010

Towards software health management with bayesian networks.

Proceedings of the Workshop on Future of Software Engineering Research, 2010

Relax, Compensate and Then Recover.

Proceedings of the New Frontiers in Artificial Intelligence, 2010

Relax, Compensate and Then Recover: A Theory of Anytime, Approximate Inference.

Proceedings of the Logics in Artificial Intelligence - 12th European Conference, 2010

On Decomposability and Interaction Functions.

Proceedings of the ECAI 2010, 2010

Top-Down Algorithms for Constructing Structured DNNF: Theoretical and Practical Implications.

Proceedings of the ECAI 2010, 2010

A Lower Bound on the Size of Decomposable Negation Normal Form.

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Complete Algorithms.

Proceedings of the Handbook of Satisfiability, 2009

Width-Based Restart Policies for Clause-Learning Satisfiability Solvers.

Proceedings of the Theory and Applications of Satisfiability Testing, 2009

Approximating MAP by Compensating for Structural Relaxations.

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A New d-DNNF-Based Bound Computation Algorithm for Functional E-MAJSAT.

Proceedings of the IJCAI 2009, 2009

On the Power of Clause-Learning SAT Solvers with Restarts.

Proceedings of the Principles and Practice of Constraint Programming, 2009

Approximating Weighted Max-SAT Problems by Compensating for Relaxations.

Proceedings of the Principles and Practice of Constraint Programming, 2009

Modeling and Reasoning with Bayesian Networks.

Cambridge University Press, ISBN: 978-0-521-88438-9, 2009

2008

Bayesian Networks.

Proceedings of the Handbook of Knowledge Representation, 2008

Solving Weighted Max-SAT Problems in a Reduced Search Space: A Performance Analysis.

JSAT, 2008

RC_Link: Genetic linkage analysis using Bayesian networks.

Int. J. Approx. Reasoning, 2008

On probabilistic inference by weighted model counting.

Artif. Intell., 2008

Efficient Genome Wide Tagging by Reduction to SAT.

Proceedings of the Algorithms in Bioinformatics, 8th International Workshop, 2008

Evaluating probabilistic reasoning systems.

Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop Helsinki, 2008

Approximating the Partition Function by Deleting and then Correcting for Model Edges.

Proceedings of the UAI 2008, 2008

A New Clause Learning Scheme for Efficient Unsatisfiability Proofs.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

New Compilation Languages Based on Structured Decomposability.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Many-Pairs Mutual Information for Adding Structure to Belief Propagation Approximations.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Focusing Generalizations of Belief Propagation on Targeted Queries.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

The Language of Search.

J. Artif. Intell. Res., 2007

Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks.

Proceedings of the UAI 2007, 2007

A Lightweight Component Caching Scheme for Satisfiability Solvers.

Proceedings of the Theory and Applications of Satisfiability Testing, 2007

Compiling Bayesian Networks Using Variable Elimination.

Proceedings of the IJCAI 2007, 2007

Clone: Solving Weighted Max-SAT in a Reduced Search Space.

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Compiling relational Bayesian networks for exact inference.

Int. J. Approx. Reasoning, 2006

A Variational Approach for Approximating Bayesian Networks by Edge Deletion.

Proceedings of the UAI '06, 2006

On the Robustness of Most Probable Explanations.

Proceedings of the UAI '06, 2006

Functional Treewidth: Bounding Complexity in the Presence of Functional Dependencies.

Proceedings of the Theory and Applications of Satisfiability Testing, 2006

Encoding CNFs to Empower Component Analysis.

Proceedings of the Theory and Applications of Satisfiability Testing, 2006

Searching While Keeping a Trace: The Evolution from Satisfiability to Knowledge Compilation.

Proceedings of the Automated Reasoning, Third International Joint Conference, 2006

Solving MAP Exactly by Searching on Compiled Arithmetic Circuits.

Proceedings of the Proceedings, 2006

An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality.

Proceedings of the Proceedings, 2006

2005

A distance measure for bounding probabilistic belief change.

Int. J. Approx. Reasoning, 2005

On the revision of probabilistic beliefs using uncertain evidence.

Artif. Intell., 2005

On Bayesian Network Approximation by Edge Deletion.

Proceedings of the UAI '05, 2005

Exploiting Evidence in Probabilistic Inference.

Proceedings of the UAI '05, 2005

DPLL with a Trace: From SAT to Knowledge Compilation.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Compiling Bayesian Networks with Local Structure.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Sensitivity Analysis in Markov Networks.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Pruning Conformant Plans by Counting Models on Compiled d-DNNF Representations.

Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

On Compiling System Models for Faster and More Scalable Diagnosis.

Proceedings of the Proceedings, 2005

2004

Complexity Results and Approximation Strategies for MAP Explanations.

J. Artif. Intell. Res., 2004

A differential semantics for jointree algorithms.

Artif. Intell., 2004

Compiling propositional weighted bases.

Artif. Intell., 2004

Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters.

Proceedings of the UAI '04, 2004

Using DPLL for Efficient OBDD Construction.

Proceedings of the Theory and Applications of Satisfiability Testing, 2004

Using DPLL for Efficient OBDD Construction.

Proceedings of the SAT 2004, 2004

Toward Good Elimination Orders for Symbolic SAT Solving.

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

New Advances in Compiling CNF into Decomposable Negation Normal Form.

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

A differential approach to inference in Bayesian networks.

J. ACM, 2003

Solving MAP Exactly using Systematic Search.

Proceedings of the UAI '03, 2003

Reasoning about Bayesian Network Classifiers.

Proceedings of the UAI '03, 2003

New Advances in Inference by Recursive Conditioning.

Proceedings of the UAI '03, 2003

A Structure-Based Variable Ordering Heuristic for SAT.

Proceedings of the IJCAI-03, 2003

On the Revision of Probabilistic Beliefs using Uncertain Evidence.

Proceedings of the IJCAI-03, 2003

Optimal Time-Space Tradeoff in Probabilistic Inference.

Proceedings of the IJCAI-03, 2003

Morphing the Hugin and Shenoy-Shafer Architectures.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002

A Knowledge Compilation Map.

J. Artif. Intell. Res., 2002

When do Numbers Really Matter?

J. Artif. Intell. Res., 2002

Compilation of Propositional Weighted Bases

CoRR, 2002

A Practical Relaxation of Constant-Factor Treewidth Approximation Algorithms.

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Optimal Time-Space Tradeoff in Probabilistic Inference.

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Compilation of propositional weighted bases.

Proceedings of the 9th International Workshop on Non-Monotonic Reasoning (NMR 2002), 2002

A Differential Semantics for Jointree Algorithms.

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Logical Approach to Factoring Belief Networks.

Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), 2002

A Compiler for Deterministic, Decomposable Negation Normal Form.

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

A Distance Measure for Bounding Probabilistic Belief Change.

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

On the Tractable Counting of Theory Models and its Application to Truth Maintenance and Belief Revision.

Journal of Applied Non-Classical Logics, 2001

Decomposable negation normal form.

J. ACM, 2001

Constant-space reasoning in dynamic Bayesian networks.

Int. J. Approx. Reasoning, 2001

Recursive conditioning.

Artif. Intell., 2001

Approximating MAP using Local Search.

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

When do Numbers Really Matter?

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

A Perspective on Knowledge Compilation.

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Using Recursive Decomposition to Construct Elimination Orders, Jointrees, and Dtrees.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000

On the tractable counting of theory models and its application to belief revision and truth maintenance

CoRR, 2000

Model-Based Diagnosis under Real-World Constraints.

AI Magazine, 2000

Any-Space Probabilistic Inference.

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

A Differential Approach to Inference in Bayesian Networks.

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999

Utilizing Device Behavior in Structure-Based Diagnosis.

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Compiling Knowledge into Decomposable Negation Normal Form.

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1998

Model-Based Diagnosis using Structured System Descriptions.

J. Artif. Intell. Res., 1998

Model-Based Diagnosis using Structured System Descriptions

CoRR, 1998

Dynamic Jointrees.

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Compiling Devices: A Structure-Based Approach.

Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998

1997

Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference.

J. Artif. Intell. Res., 1997

Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference

CoRR, 1997

On the Logic of Iterated Belief Revision.

Artif. Intell., 1997

A Logical Notion of Conditional Independence: Properties and Application.

Artif. Intell., 1997

A Standard Approach for Optimizing Belief Network Inference Using Query DAGs.

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

The Effect of Observations on the Complexity of Model-Based Diagnosis.

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Inference in belief networks: A procedural guide.

Int. J. Approx. Reasoning, 1996

Query DAGs: A practical paradigm for implementing belief-network inference.

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Utilizing Knowledge-Base Semantics in Graph-Based Algorithms.

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Conditioning Algorithms for Exact and Approximate Inference in Causal Networks.

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Model-Based Diagnosis using Causal Networks.

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

On the Relation between Kappa Calculus and Probabilistic Reasoning.

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty.

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

On the Logic of iterated Belief Revision.

Proceedings of the 5th Conference on Theoretical Aspects of Reasoning about Knowledge, 1994

Symbolic Causal Networks.

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Argument Calculus and Networks.

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992

Objection-based Causal Exception Networks.

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

A Symbolic Generalization of Probability Theory.

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1988

OARPLAN: Generating project plans by reasoning about objects, actions and resources.

AI EDAM, 1988