PhD THESIS

• Probabilistic Reasoning for Complex Systems, A.J. Pfeffer. PhD Thesis, Stanford University, January 2000. Compressed Uncompressed

BOOK CHAPTERS

The Design and Implementation of IBAL: A General-Purpose Probabilistic Language,
A. Pfeffer.
To appear in a book on Statistical Relational Learning, L. Getoor and B. Taskar, Eds.

Learning Probabilistic Relational Models,
L. Getoor, N. Friedman, D. Koller and A. Pfeffer.
In Relational Data Mining, S. Dzeroski and N. Lavrac, Eds, Springer-Verlag 2001.

PUBLICATIONS in REFEREED JOURNALS

• Networks of Influence Diagrams: A Formalism for Reasoning About Agents' Decision-making Processes,
  Ya'akov Gal and Avi Pfeffer.
  Journal of Artificial Intelligence Research. To appear.
• Factored Reasoning for Monitoring Team and Goal Formation.
  Avi Pfeffer, Subrata Das, David Lawless and Brenda Ng.
  Information Fusion. To appear.
• Natural History and Evolutionary Principles of Gene Duplication in Fungi.
  Ilan Wapinski, Avi Pfeffer, Nir Friedman and Aviv Regev.
  Nature, 449(7158):54-61, Sep 6 2007.
• Automatic Genome-wide Reconstruction of Phylogenetic Gene Trees.
  Ilan Wapinski, Avi Pfeffer, Nir Friedman and Aviv Regev.
  Bioinformatics, 23(13):549-58, Jul 1 2007.
• Representations and Solutions for Game-Theoretic Problems,
  D. Koller and A.J. Pfeffer.
  Artificial Intelligence, 94(1), July 1997, pages 167--215.
• Mariposa: A Wide-Area Distributed Database System,
  M. Stonebraker, P.M. Aoki, W. Litwin, A. Pfeffer, A. Sah, J. Sidell, C. Staelin and A. Yu.
  VLDB Journal, 5(1), January 1996, pages 48-63.

PUBLICATIONS in REFEREED CONFERENCES

• Learning and Solving Many-Player Games through a Cluster-Based Representation,
  Sevan Ficici, David Parkes and Avi Pfeffer.
  Twenty-third Conference on Uncertainty in Artificial Intelligence (UAI), 2008.
• Identifying Reasoning Patterns in Games,
  Dimitrios Antos and Avi Pfeffer.
  Twenty-third Conference on Uncertainty in Artificial Intelligence (UAI), 2008.
• Modeling how Humans Reason about Others with Partial Information,
  Sevan Ficici and Avi Pfeffer.
  International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2008.
• Simultaneously Modeling Humans' Preferences and their Beliefs about Others' Preferences,
  Sevan Ficici and Avi Pfeffer.
  International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2008.
• Discovering Weakly-Interacting Factors in a Complex Stochastic Process,
  Charlie Frogner and Avi Pfeffer.
  Neural Information Processing Systems, 2007.
• The Influence of Task Contexts on the Decision-making of Humans and Computers,
  Ya'akov Gal, Barbara J. Grosz, Avi Pfeffer, Stuart M. Shieber and Alex Allain.
  Proceedings of the Sixth International and Interdisciplinary Conference on Modeling and Using Context, 2007.
• On the Reasoning Patterns of Agents in Games
  Avi Pfeffer and Ya'akov Gal
  National Conference on Artificial Intelligence (AAAI), July 2007.
• Sampling with Memoization
  Avi Pfeffer
  National Conference on Artificial Intelligence (AAAI), July 2007.
• Modeling Reciprocal Behavior in Human Bilateral Negotiation
  Ya'akov Gal, Avi Pfeffer
  National Conference on Artificial Intelligence (AAAI), July 2007.
• Global/Local Dynamic Models
  Avi Pfeffer, Subrata Das, David Lawless, Brenda Ng
  International Joint Conference on Artificial Intelligence (IJCAI), January 2007.
• Approximate Separability for Weak Interaction in Dynamic Systems
  Avi Pfeffer
  Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI), Boston, July 2006.
• Predicting People's Bidding Behavior in Negotiation
  Ya'akov Gal and Avi Pfeffer
  Fifth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Hakodate, Japan, May 2006.
• Signal to Score Music Transcritpion Using Graphical Models
  Emir Kapanci and Avi Pfeffer
  Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, August 2005.
• Continuous Time Particle Filtering
  Brenda Ng, Avi Pfeffer and Richard Dearden
  Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, August 2005.
• Functional Specification of Probabilistic Process Models
  Avi Pfeffer
  Proceedings of the 20th National Conference on Artificial Intelligence (AAAI), Pittsburgh, July 2005.
• Asynchronous Dynamic Bayesian Networks
  Avi Pfeffer and Terry Tai
  Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, Edinburgh, July 2005.
• Factored Particle Filtering for Data Fusion and Situation Assessment in Urban Environments
  Subrata Das, David Lawless, Brenda Ng and Avi Pfeffer
  Eight International Conference on Information Fusion, Philadelphia, July 2005.
• A Hierarchical Approach to Onset Detection
  Emir Kapanci and Avi Pfeffer,
  International Conference on Computer Music (ICMC), 2004.
• Social preferences in relational context
  Francesca Marzo, Ya'akov Gal, Barbara Grosz and Avi Pfeffer
  IV Conference in Collective Intentionality, Siena, Italy, October 2004.
• Reasoning about Rationality and Beliefs
  Ya'akov Gal and Avi Pfeffer,
  Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), New York, July 2004.
• Learning Social Preferences in Games
  Ya'akov Gal, Avi Pfeffer, Francesca Marzo and Barbara J. Grosz,
  National Conference on Artificial Intelligence (AAAI), San Jose, California, July 2004.
• Repeated Observation Models
  Avi Pfeffer,
  National Conference on Artificial Intelligence (AAAI), San Jose, California, July 2004.
• Loopy Belief Propagation as a Basis for Communication in Sensor Networks
  Cristopher Crick and Avi Pfeffer.
  Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003.
• A Language for Representing Agents' Decision Making Processes in Games
  Ya'akov Gal and Avi Pfeffer.
  Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Melbourne, July 2003.
• Learning Style-Specific Rhythmic Structures
  Emir Kapanci and Avi Pfeffer.
  Proceedings of the International Conference on Music and Computing (ICMC), Singapore, October 2003.
• Bayesian Information Extraction Network
  Leonid Peshkin and Avi Pfeffer.
  Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, August 2003.
• Bayesian Network for Syntactic Categorization of Novel Words
  Leonid Peshkin, Virginia Sasova and Avi Pfeffer.
  HLT-NAACL, 2003.
• Factored Particles for Scalable Monitoring,
  Brenda Ng, Leonid Peshkin and Avi Pfeffer.
  Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence (UAI), Edmonton, July 2002.
• Learning and Decision-Making for Intention Reconciliation, Sanmay Das, Barbara Grosz and Avi Pfeffer.
  Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, July 2002.
• Stochastic Lambda Calculus and Monads of Probability Distributions, N. Ramsey and A.Pfeffer, Principles of Programming Languages (POPL), 2002.
• Sufficiency, Separability and Temporal Probabilistic Models, A. Pfeffer, Uncertainty in Artificial Intelligence (UA), 2001.
• IBAL: A Probabilistic Rational Programming Language, A. Pfeffer. International Joint Conference on Artificial Intelligence (IJCAI), 2001.
• Semantics and Inference for Recursive Probability Models, A. Pfeffer and D. Koller. National Conference on Artificial Intelligence (AAAI), 2000.
• Learning Probabilistic Relational Models, N. Friedman, L. Getoor, D. Koller and A. Pfeffer. Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, August 1999.
• SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation, A. Pfeffer, D. Koller, B. Milch and K.T. Takusagawa. Proceedings of the 14th Annual Conference on Uncertainty in AI (UAI), Stockholm, Sweden, July 1999.
• Structured representation of complex stochastic systems, N. Friedman, D. Koller, and A. Pfeffer. Proceedings of the 15th National Conference on Artificial Intelligence (AAAI), Madison, Wisconsin, July 1998.
• Probabilistic frame-based systems, D. Koller and A. Pfeffer. Proceedings of the 15th National Conference on Artificial Intelligence (AAAI), Madison, Wisconsin, July 1998.
• Object-Oriented Bayesian Networks, D. Koller and A. Pfeffer. Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI), Providence, Rhode Island, August 1997, pages 302--313.
• Effective Bayesian Inference for Stochastic Programs, D. Koller, D. McAllester, and A. Pfeffer. Proceedings of the 14th National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, August 1997, pages 740--747.
• P-Classic: A tractable probabilistic description logic, D. Koller, A. Levy, and A. Pfeffer. Proceedings of the 14th National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, August 1997, pages 390--397
• Learning probabilities for noisy first-order rules, D. Koller and A. Pfeffer. Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI), Nagoya, Japan, August 1997, pages 1316--1321.
• Generating and solving imperfect information games, D. Koller and A.J. Pfeffer. Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 1995, pages 1185--1192.
• Generalized Search Trees for Database Systems, J.M. Hellerstein, J.F. Naughton and A. Pfeffer. Proceedings of the 21st International Conference on Very Large Data Bases (VLDB), Zurich, Switzerland, September 1995.
• An Economic Paradigm for Query Processing and Data Migration in Mariposa, M. Stonebraker, R. Devine, M. Kornacker, W. Litwin, A. Pfeffer, A. Sah, and C. Staelin. Proceedings of the 3rd International Conference on Parallel and Distributed Database Systems (PDIS), September 1994.

PUBLICATIONS in WORKSHOPS

1. Colored Trails: A Formalism for Investigating Decision-Making in Strategic Environments

Ya'akov Gal, Barbara Grosz, Sarit Kraus, Avi Pfeffer and Stuart Shieber.
IJCAI Workshop on Reasoning, Representation and Learning in Computer Games, August 2005.
2. Specifying and Monitoring Market Mechanisms using Rights and Obligations,

Loizos Michael, David Parkes and Avi Pfeffer.
AAMAS Workshop on Agent Mediated Electronic Commerce, July 2004.
3. A Language for Opponent Modeling in Repeated Games,

Ya'akov Gal and Avi Pfeffer.
AAMAS Workshop on Decision-Theoretic and Game-Theoretic Agents, July 2003.
4. A Bayesian Language for Cumulative Learning, A. Pfeffer.AAAI Workshop on Learning Statistical Models from Relational Data, July 2000.