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Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments (1994)  (Make Corrections)  (3 citations)
Eugene Fink, Qiang Yang
Artificial Intelligence



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Abstract: The use of primary e#ects of operators is an e#ective approach to improving the e#ciency of planning. The characterization of "good" primary e#ects, however, has remained at an informal level and there have been no algorithms for selecting primary e#ects of operators. (Update)

Context of citations to this paper:   More

...of the smallest size that achieves the goal. We may readily extend all our results to more robust definitions of a plan quality [ Fink and Yang, 1994 ] for example, we may assign a realvalued cost to each operator in a domain and measure the quality of a plan by the total...

...current reduced set of operators is not sufficient for problem solving. We discussed some methods for accomplishing these tasks in [Fink and Yang, 1994a] The input to Operator Remover must include the set of operators in a problem domain. We may also provide the information...

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Systematic Approach to the Design of Representation-Changing.. - Fink (1995)   (Correct)
Design of Representation-Changing Algorithms - Fink (1995)   (Correct)
Planning with Primary Effects: Experiments and Analysis - Eugene Fink (1995)   (Correct)

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3:   Characterizing and automatically finding primary effects in planning - Fink, Yang - 1993
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BibTeX entry:   (Update)

Eugene Fink and Qiang Yang. Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments. Carnegie Mellon University, Computer Science, 1994. Tech. Report CMU-CS-94-206. http://citeseer.ist.psu.edu/fink94automatically.html   More

@article{ fink97automatically,
    author = "Eugene Fink and Qiang Yang",
    title = "Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments",
    journal = "Artificial Intelligence",
    volume = "89",
    number = "1-2",
    pages = "285-315",
    year = "1997",
    url = "citeseer.ist.psu.edu/fink94automatically.html" }
Citations (may not include all citations):
891   strips: A new approach to the application of theorem proving.. (context) - Fikes, Nilsson - 1971
493   Communications of the ACM (context) - Valiant, of et al. - 1984
451   Planning for conjunctive goals (context) - Chapman - 1987
198   Practical Planning: Extending the Classical AI Planning Para.. (context) - Wilkins - 1988
186   partial-order planner for ADL (context) - Penberthy, Weld et al. - 1992
149   Information Processing Letters (context) - Blumer, Ehrenfeucht et al. - 1987
134   Integrating planning and learning: The prodigy architecture - Veloso, Carbonell et al. - 1995
113   Automatically generating abstractions for planning - Knoblock - 1994
91   Artificial Intelligence: A Modern Approach (context) - Russell, Norvig - 1995
49   abtweak: Abstracting a non-linear (context) - Yang, Tenenberg - 1990
17   Formalizing plan justifications - Fink, Yang - 1992
13   A specification of process planning for prodigy (context) - Gil - 1991
13   A critical look at Knoblock's hierarchy mechanism (context) - Smith, Peot - 1992
12   Formalizing the prodigy planning algorithm - Fink, Veloso - 1996
10   Probabilistic hill-climbing - Cohen, Greiner et al. - 1994
8   An evaluation of the temporal coherence heuristic in partial.. - Yang, Murray - 1994
8   the implementation and evaluation of abtweak - Yang, Tenenberg et al. - 1996
6   Partial order planning: Evaluating possible e#ciency gains (context) - Barrett, Weld - 1994
5   Automatically abstracting e#ects of operators - Fink, Yang - 1992
4   Systematic approach to the design of representation-changing.. - Fink - 1995
2   Planning with primary e#ects: Experiments and analysis - Fink, Yang - 1995
1   Search reduction in planning with primary e#ects - Fink, Yang - 1994
1   in partial-order planning algorithms (context) - Knoblock, Yang et al. - 1994

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