Peter Haddaway (haddaway)

Contributions to Philosophie.ch

Bibliography

Frisch, Alan M. and Haddaway, Peter. 1994. “Anytime Deduction for Probabilistic Logic.” Artificial Intelligence 69(1–2): 93–122.
Ha, Vu and Haddaway, Peter. 1997. “Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models.” in UAI-97. Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, edited by Dan Geiger and Prakash P. Shenoy, pp. 215–222. San Francisco, California: Morgan Kaufmann Publishers.
Ha, Vu and Haddaway, Peter. 1998a. “Geometric Foundations for Interval-Based Probabilities.” in KR’98: Principles of Knowledge Representation and Reasoning, edited by Anthony G. Cohn, Lenhart K. Schubert, and Stuart C. Shapiro, pp. 582–593. San Francisco, California: Morgan Kaufmann Publishers.
Ha, Vu and Haddaway, Peter. 1998b. “Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures.” in UAI-98. Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 193–201. San Francisco, California: Morgan Kaufmann Publishers, Inc.
Ha, Vu and Haddaway, Peter. 2003. “Similarity of Personal Preferences: Theoretical Foundations and Empirical Analysis.” Artificial Intelligence 146(2): 149–173.
Ha, Vu, Li, Tri and Haddaway, Peter. 1997. “Case-Based Preference Elicitation (Preliminary Report).” Unpublished manuscript, Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee.
Haddaway, Peter. 1991. “A Temporal Probability Logic for Representing Actions.” in KR’91: Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning, edited by James F. Allen, Richard E. Fikes, and Erik Sandewall, pp. 313–324. San Francisco, California: Morgan Kaufmann Publishers.
Haddaway, Peter. 1994. “Decision-Theoretic Refinement Planning Using Inheritance Abstraction.” in Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, edited by Kristian J. Hammond, pp. 266–271. Menlo Park, California: The AAAI Press.
Haddaway, Peter. 1996a. “Believing Change and Changing Belief.” IEEE Transactions on Systems, Man, and Cybernetics 26(5). Special issue on Higher-Order Uncertainty.
Haddaway, Peter. 1996b. “A Logic of Time, Change, and Action for Representing Plans.” Artificial Intelligence 80(2): 243–308.
Haddaway, Peter and Frisch, Alan M. 1987. “Convergent Deduction for Probabilistic Logic.” in AAAI-87. Proceedings of the AAAI Workshop on Uncertainty in Artificial Intelligence, pp. 125–143. Menlo Park, California: The AAAI Press.
Haddaway, Peter and Frisch, Alan M. 1990. “Modal Logics of Higher-Order Probability.” in UAI-89. Proceedings of the 5th Conference on Uncertainty in Artificial Intelligence, volume 5, edited by Max Henrion, Ross D. Shachter, Laveen N. Kanal, and J. F. Lemmer. vol. 5. Amsterdam: Elsevier Science Publishers B.V.
Haddaway, Peter and Hanks, Steven. 1990. “Issues in Decision-Theoretic Planning: Symbolic Goals and Numeric Utilities.” in DARPA Workshop on Innovative Applications to Planning, Scheduling, and Control. San Francisco, California: Morgan Kaufmann Publishers, Inc.
Haddaway, Peter and Hanks, Steven. 1992. “Representations of Decision-Theoretic Planning: Utility Functions for Deadline Goals.” in KR’92: Principles of Knowledge Representation and Reasoning, edited by Bernhard Nebel, Charles Rich, and William R. Swartout, pp. 71–82. San Francisco, California: Morgan Kaufmann Publishers.
Haddaway, Peter and Hanks, Steven. 1993. “Utility Models for Goal-Directed Decision-Theoretic Planners.” 93–06–04. Milwaukee, Wisconsin: Department of EE&CS, University of Wisconsin-Milwaukee.
Haddaway, Peter and Hanks, Steven, eds. 1998. AAAI-98. Working Notes of the AAAI Spring Symposium on Interactive and Mixed-Initiative Decision Theoretic Systems. Menlo Park, California: The AAAI Press.
Haddaway, Peter and Suwandi, Meliani. 1994. “Decision Theoretic Planning using Inheritance Abstraction.” in Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, edited by Kristian J. Hammond. Menlo Park, California: The AAAI Press.
Restificar, Angelo, Haddaway, Peter, Ha, Vu and Miyamoto, John. 2002. “Eliciting Utilities by RefiningTheories of Monotonicity and Risk.” in AAAI-02. Preferences in AI and CP: Symbolic Approaches, edited by Ulrich Junker, pp. 67–72. Menlo Park, California: The AAAI Press.