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2010 – 2019
- 2013
[i7]Steve Hanks, David Madigan, Jonathan Gavrin:
Probabilistic Temporal Reasoning with Endogenous Change. CoRR abs/1302.4954 (2013)- [i6]Denise L. Draper, Steve Hanks:
Localized Partial Evaluation of Belief Networks. CoRR abs/1302.6800 (2013) - [i5]Denise L. Draper, Steve Hanks, Daniel S. Weld:
A Probabilistic Model of Action for Least-Commitment Planning with Information Gather. CoRR abs/1302.6801 (2013) - [i4]Steve Hanks:
Temporal Reasoning About Uncertain Worlds. CoRR abs/1304.2723 (2013) - [i3]Philippe Besnard, Steve Hanks:
Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995). CoRR abs/1304.3848 (2013) - 2011
- [i2]Craig Boutilier, Thomas L. Dean, Steve Hanks:
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. CoRR abs/1105.5460 (2011)
2000 – 2009
- 2005
- [r1]Steve Hanks, David Madigan:
Probabilistic Temporal Reasoning. Handbook of Temporal Reasoning in Artificial Intelligence 2005: 315-342 - 2003
- [j12]Omid Madani, Steve Hanks, Anne Condon:
On the undecidability of probabilistic planning and related stochastic optimization problems. Artif. Intell. 147(1-2): 5-34 (2003) - 2000
- [j11]Oren Etzioni, Steve Hanks, Tao Jiang
, Omid Madani:
Optimal Information Gathering on the Internet with Time and Cost Constraints. SIAM J. Comput. 29(5): 1596-1620 (2000)
1990 – 1999
- 1999
- [j10]Nancy L. Green, Jennifer Chu-Carroll, David Kortenkamp, Alan C. Schultz, Michael H. Coen, Dragomir R. Radev, Eduard H. Hovy, Peter Haddawy, Steve Hanks, Eugene C. Freuder, Charlie Ortiz, Sandip Sen:
The AAAI Spring Symposia. AI Mag. 20(3): 83-86 (1999) - [j9]Craig Boutilier, Thomas L. Dean, Steve Hanks:
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. 11: 1-94 (1999) - [c16]Omid Madani, Steve Hanks, Anne Condon:
On the Undecidability of Probabilistic Planning and Infinite-Horizon Partially Observable Markov Decision Problems. AAAI/IAAI 1999: 541-548 - 1998
- [j8]Peter Haddawy, Steve Hanks:
Interactive and Mixed-Initiative Decision-Theoretic Systems. AI Mag. 19(3): 133 (1998) - [j7]Peter Haddawy, Steve Hanks:
Utility Models for Goal-Directed, Decision-Theoretic Planners. Comput. Intell. 14(3): 392-429 (1998) - 1996
- [c15]Mike Williamson, Steve Hanks:
Flaw Selection Strategies for Value-Directed Planning. AIPS 1996: 237-244 - [c14]Oren Etzioni, Steve Hanks, Tao Jiang, Richard M. Karp, Omid Madani, Orli Waarts:
Efficient Information Gathering on the Internet (extended abstract). FOCS 1996: 234-243 - 1995
- [j6]Nicholas Kushmerick, Steve Hanks, Daniel S. Weld:
An Algorithm for Probabilistic Planning. Artif. Intell. 76(1-2): 239-286 (1995) - [j5]Steve Hanks, Daniel S. Weld:
A Domain-Independent Algorithm for Plan Adaptation. J. Artif. Intell. Res. 2: 319-360 (1995) - [c13]Steve Hanks, David Madigan, Jonathan Gavrin:
Probabilistic Temporal Reasoning with Endogenous Change. UAI 1995: 245-254 - [e1]Philippe Besnard, Steve Hanks:
UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, Montreal, Quebec, Canada, August 18-20, 1995. Morgan Kaufmann 1995, ISBN 1-55860-385-9 [contents] - [i1]Steve Hanks, Daniel S. Weld:
A Domain-Independent Algorithm for Plan Adaptation. CoRR cs.AI/9501102 (1995) - 1994
- [j4]Steve Hanks, Drew V. McDermott:
Modeling a Dynamic and Uncertain World I: Symbolic and Probabilistic Reasoning About Change. Artif. Intell. 66(1): 1-55 (1994) - [c12]Nicholas Kushmerick, Steve Hanks, Daniel S. Weld:
An Algorithm for Probabilistic Least-Commitment Planning. AAAI 1994: 1073-1078 - [c11]Mike Williamson, Steve Hanks:
Utility-Directed Planning. AAAI 1994: 1498 - [c10]Denise Draper, Steve Hanks, Daniel S. Weld:
Probabilistic Planning with Information Gathering and Contingent Execution. AIPS 1994: 31-36 - [c9]Mike Williamson, Steve Hanks:
Optimal Planning with a Goal-directed Utility Model. AIPS 1994: 176-181 - [c8]Denise Draper, Steve Hanks:
Localized Partial Evaluation of Belief Networks. UAI 1994: 170-177 - [c7]Denise Draper, Steve Hanks, Daniel S. Weld:
A Probablistic Model of Action for Least-Commitment Planning with Information Gathering. UAI 1994: 178-186 - 1993
- [j3]Steve Hanks, Martha E. Pollack, Paul R. Cohen:
Benchmarks, Test Beds, Controlled Experimentation, and the Design of Agent Architectures. AI Mag. 14(4): 17-42 (1993) - [c6]Mike Williamson, Steve Hanks:
Exploiting Domain structure to Achieve Efficient Temporal Reasoning. IJCAI 1993: 152-159 - 1992
- [c5]Peter Haddawy, Steve Hanks:
Representations for Decision-Theoretic Planning: Utility Functions for Deadline Goals. KR 1992: 71-82 - [c4]Oren Etzioni, Steve Hanks, Daniel S. Weld, Denise Draper, Neal Lesh, Mike Williamson:
An Approach to Planning with Incomplete Information. KR 1992: 115-125 - 1990
- [c3]Steve Hanks:
Practical Temporal Projection. AAAI 1990: 158-163
1980 – 1989
- 1988
- [j2]Steve Hanks:
Temporal reasoning about uncertain worlds. Int. J. Approx. Reason. 2(3): 336 (1988) - [c2]Steve Hanks:
Representing and Computing Temporally Scoped Beliefs. AAAI 1988: 501-505 - 1987
- [j1]Steve Hanks, Drew V. McDermott:
Nonmonotonic Logic and Temporal Projection. Artif. Intell. 33(3): 379-412 (1987) - 1986
- [c1]Steve Hanks, Drew V. McDermott:
Default Reasoning, Nonmonotonic Logics, and the Frame Problem. AAAI 1986: 328-333
Coauthor Index
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