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  • Prakash P. Shenoy

Prakash Shenoy

Ronald G. Harper Distinguished Professor of Artificial Intelligence
Primary office:
785-864-7551
Capitol Federal Hall
Room 3187
University of Kansas


Education

PhD Cornell University, 1977
Master's Cornell University, 1975
Bachelor's Indian Institute of Technology, Bombay, India, 1973

Joined the University of Kansas in 1978

Academic Areas

Decision Sciences

Interests

  • Uncertain reasoning, expert systems
  • Bayes nets, influence diagrams, valuation networks
  • Data mining and knowledge discovery in databases

Research Interests

  • Knowledge-based systems
  • Bayesian networks
  • Decision Analysis
  • Game Theory

Recent Projects

  • Inference in hybrid Bayesian networks
  • Copula models for multivariate distributions

Current Activities

Dr. Shenoy is the inventor of Valuation-Based Systems (VBS), a mathematical architecture for knowledge representation and inference that includes many uncertainty calculi such as Bayesian probability, Dempster-Shafer belief functions, Spohn's epistemic beliefs, and Zadeh's possibility theory. It also includes various domains such as Bayesian decision analysis, solving systems of equations, Kalman's filter, database retrieval, propositional logic, optimization using dynamic programming, etc. His VBS architecture is currently being used for multi-sensor fusion in the ballistic missile defense program of the USA.

Selected Publications

"A New Heuristic for Learning Bayesian Networks from Limited Datasets: A Real-Time Recommendation System Application with RFID System in Grocery Stores," Annals of Operations Research, in press, 2012, with E. N. Cinicioglu. DOI PDF (823 KB)

"Conditioning in Decomposable Compositional Models in Valuation-Based Systems," in S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, and R. Yager (eds.), Advances in Computational Intelligence, Lecture Notes in Computer Science 300, Part IV, 2012, pp. 676--685, Springer-Verlag, Berlin, with R. Jirousek. PDF (165KB)

"Compositional Models in Valuation-Based Systems," in T. Denoeux and M.-H. Masson (eds.), Belief Functions: Theory and Applications, Advances in Intelligent and Soft Computing 164, 2012, 221--228, Springer, Heidelberg, with R. Jirousek. DOI (78KB)

"Two Issues in Using Mixtures of Polynomials for Inference in Hybrid Bayesian Networks," International Journal of Approximate Reasoning, Vol. 53, No. 5, pp. 847--866, 2012. DOI PDF (1.4MB). A copy of this paper that includes Mathematica code for all results in the paper can be downloaded as Working Paper No. 323 (10.2MB).

"A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions," Decision Analysis, Vol. 9, No. 1, March 2012, pp. 55--75, with Y. Li. DOI PDF (1.7MB). A copy of this paper that includes Mathematica code for the solution of the two examples in the paper can be downloaded as Working Paper No. 322 (8.1MB).

"A Re-Definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks," in W. Liu (ed.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty -- ECSQARU 2011, Lecture Notes in Artificial Intelligence, Vol. 6717, pp. 98--109, Springer, Heidelberg. DOWNLOAD(256KB).

"Extended Shenoy-Shafer Architecture for Inference in Hybrid Bayesian Networks with Deterministic Conditionals," International Journal of Approximate Reasoning, Vol. 52, No. 6, September 2011, pp. 805--818, with J. C. West. DOWNLOAD(1MB).

"Inference in Hybrid Bayesian Networks Using Mixtures of Polynomials," International Journal of Approximate Reasoning, Vol. 52, No. 5, July 2011, pp. 641--657, with J. C. West. DOWNLOAD(766KB).

"A Decision Theory for Partially Consonant Belief Functions," International Journal of Approximate Reasoning, Vol. 52, No. 3, 2011, pp. 375--394, with P. H. Giang. DOWNLOAD(564KB).

"A Review of Representation Issues and Modeling Challenges with Influence Diagrams," Omega: International Journal of Management Science, Vol. 39, No. 3, 2011, pp. 227--241, with C. Bielza and M. Gomez DOWNLOAD(311KB).

"Modeling Challenges with Influence Diagrams: Constructing Probability and Utility Models," Decision Support Systems, Vol. 49, No. 4, 2010, pp. 354--364, with C. Bielza and M. Gomez DOWNLOAD(471KB).

"Solving Hybrid Influence Diagrams with Deterministic Variables," in P. Grunwald and P. Spirtes (eds.), Uncertainty in Artificial Intelligence, Vol. 26, 2010, pp. 322--331, AUAI Press, Corvallis, OR, with Y. Li. DOWNLOAD(1.33MB).

"Inference in Hybrid Bayesian Networks with Deterministic Variables," in C. Sossai and G. Chemello (eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty -- 10th ECSQARU, Lecture Notes in Artificial Intelligence, Vol. 5590, 2009, pp. 46--58, Springer-Verlag, Berlin, with J. C. West. DOWNLOAD(224KB)

"Arc Reversals in Hybrid Bayesian Networks with Deterministic Variables," International Journal of Approximate Reasoning, Vol. 50, No. 5, 2009, pp. 763--777, with E. N. Cinicioglu DOWNLOAD(1.1MB).

"Decision Making with Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials,. European Journal of Operational Research, in press, with B. R. Cobb. DOWNLOAD(216KB).

"Using Bayesian Networks for Bankruptcy Prediction: Some Methodological Issues,. European Journal of Operational Research, Vol. 180, No. 2, 2007, pp. 738--753, with L. Sun.

"Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians," in R. Dechter and T. Richardson (eds.). Uncertainty in Artificial Intelligence, Vol. 22, 2006, pp. 428--436, AUAI Press, Corvallis, OR.

"Knowledge Representation and Integration for Portfolio Evaluation Using Linear Belief Functions,. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, Vol. 36, No. 4, 2006, pp. 774--785, with L. Liu and C. Shenoy.

"Approximating Probability Density Functions in Hybrid Bayesian Networks with Mixtures of Truncated Exponentials,. Statistics and Computing, Vol. 16, No. 3, 2006, pp. 293--308, with B. R. Cobb and R. Rumin.

"Sequential Influence Diagrams: A Unified Asymmetry Framework,. International Journal of Approximate Reasoning, Vol 42, Nos. 1-2, 2006, pp. 101--118, with F. V. Jensen and T. D. Nielsen.

"Operations for Inference in Continuous Bayesian Networks with Linear Deterministic Variables,. International Journal of Approximate Reasoning, Vol 42, Nos. 1-2, 2006, pp. 21--36, with B. R. Cobb.

"On the Plausibility Transformation Method for Translating Belief Function Models to Probability Models,. International Journal of Approximate Reasoning, Vol. 41, No. 3, 2006, pp. 314--340, with B. R. Cobb.

"Inference in Hybrid Bayesian Networks with Mixtures of Truncated Exponentials,. International Journal of Approximate Reasoning, Vol. 41, No. 3, 2006, pp. 257--286, with B. R. Cobb.

"Sequential Valuation Networks for Asymmetric Decision Problems,. European Journal of Operational Research, Vol. 169, No. 1, 2006, pp. 286--309, with R. Demirer.

"Hybrid Bayesian Networks with Linear Deterministic Variables" in F. Bacchus and T. Jaakkola (eds.). Uncertainty in Artificial Intelligence, Vol. 21, 2005, pp. 136--144, AUAI Press, Corvallis, OR, with B. R. Cobb.

"Nonlinear Deterministic Relationships in Bayesian Networks," in L. Godo (ed.). Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence, Vol. 3571, 2005, pp. 27--38, Springer-Verlag, Berlin, with B. R. Cobb.

"Decision Making on the Sole Basis of Statistical Likelihood,. Artificial Intelligence, Vol. 165, No. 2, 2005, pp. 137--163, with P. H. Giang.

"Two Axiomatic Approaches to Decision Making Using Possibility Theory,. European Journal of Operational Research, Vol. 162, No. 2, 2005, pp. 450--467, with P. H. Giang.

"A Causal Mapping Approach to Constructing Bayesian Networks,. Decision Support Systems, Vol. 38, No. 2, 2004, pp. 259--281, with S. Nadkarnin.

"Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials" in M. Chickering and J. Halpern (eds.). Uncertainty in Artificial Intelligence, Vol. 20, 2004, pp. 85--93, AUAI Press, Arlington, VA, with B. R. Cobb.

"Representing Asymmetric Decision Problems Using Coarse Valuations. Decision Support Systems, Vol. 37, No. 1, 2004, pp. 119--135, with L. Liu.

"Multi-Stage Monte Carlo Method for Solving Influence Diagrams Using Local Computation,. Management Science, Vol. 50, No. 3, 2004, pp. 405--418, with J. M. Charnes.

"A Comparison of Bayesian and Belief Function Reasoning,. Information Systems Frontiers, Vol 5, No. 4, 2003, pp. 345--358, with B. R. Cobb.

"Decision Making with Partially Consonant Belief Functions" in U. Kjaerulff and C. Meek (eds.). Uncertainty in Artificial Intelligence, Vol. 19, 2003, 272--280, Morgan Kaufmann, San Francisco, CA, with P. H. Giang.

"A Linear Belief Function Approach to Portfolio Evaluation" in U. Kjaerulff and C. Meek (eds.). Uncertainty in Artificial Intelligence, Vol. 19, 2003, 370--377, Morgan Kaufmann, San Francisco, CA, with L. Liu and C. Shenoy.

"A Comparison of Methods for Transforming Belief Function Models to Probability Models," in T. D. Nielsen and N. L. Zhang (eds.). Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence, Vol. 2711, pp. 255--266, Springer-Verlag, 2003, with B. R. Cobb.

"Statistical Decisions Using Likelihood Information Without Prior Probabilities" in A. Darwiche and N. Friedman (eds.). Uncertainty in Artificial Intelligence, Vol. 18, 2002, pp. 170--178, Morgan Kaufmann, San Francisco, CA, with P. H. Giang.

"Modeling Financial Portfolios Using Belief Functions," in R. P. Srivastava and T. J. Mock (eds.). Belief Functions in Business Decisions, Studies in Fuzziness and Soft Computing, Vol. 88, 2002, pp. 316--332, Physica-Verlag, with C. Shenoy.

"Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems," in S. Benferhat and P. Besnard (eds.). Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence, Vol. 2143, Springer-Verlag, 2001, pp. 252--265, with R. Demirer.

"A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory" in J. Breese and D. Koller (eds.). Uncertainty in Artificial Intelligence, Vol. 17, 2001, pp. 162--170, Morgan Kaufmann, San Francisco, CA, with P. H. Giang.

"A Bayesian Network Approach to Making Inferences in Causal Maps,. European Journal of Operational Research, Vol. 128, No. 3, 2001, pp. 479--498, with S. Nadkarnin.

"Computation in Valuation Algebras," in D. Gabbay and Ph. Smets (eds.). Handbook of Defeasible Reasoning and Uncertainty Management Systems, Volume 5: Algorithms for Uncertainty and Defeasible Reasoning, 2000, pp. 5--39, Kluwer Academic Publishers, Dordrecht, with J. Kohlas.

"A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs" in C. Boutilier and M. Goldszmidt (eds.). Uncertainty in Artificial Intelligence, Vol. 16, 2000, pp. 220--229, Morgan Kaufmann, San Francisco, CA, with P. H. Giang.

"Valuation Network Representation and Solution of Asymmetric Decision Problems,. European Journal of Operational Research, Vol. 121, No. 3, 2000, pp. 579--608.

Teaching Interests

  • Uncertainty in artificial intelligence
  • Decision analysis and game theory
  • Probability and statistics
  • Supply chain modeling
  • Data analysis and forecasting

Research Interests

  • Uncertainty in artificial intelligence
  • Knowledge-based systems
  • Decision analysis
  • Game theory

Selected Publications


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