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Speeding up problem solving by abstraction: a graph oriented approach
Artificial Intelligence 85 (1-2):321-361 (1996)
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Citations of this work
Learning metric-topological maps for indoor mobile robot navigation.Sebastian Thrun - 1998 - Artificial Intelligence 99 (1):21-71.
The computational complexity of avoiding spurious states in state space abstraction.Sandra Zilles & Robert C. Holte - 2010 - Artificial Intelligence 174 (14):1072-1092.
A framework for analysing state-abstraction methods.Christer Bäckström & Peter Jonsson - 2022 - Artificial Intelligence 302 (C):103608.
Abstraction for non-ground answer set programs.Zeynep G. Saribatur, Thomas Eiter & Peter Schüller - 2021 - Artificial Intelligence 300 (C):103563.
The impact of representation on the efficacy of Artificial intelligence: The case of genetic algorithms. [REVIEW]Robert Zimmer, Robert Holte & Alan MacDonald - 1997 - AI and Society 11 (1-2):76-87.
References found in this work
Strips: A new approach to the application of theorem proving to problem solving.Richard E. Fikes & Nils J. Nilsson - 1971 - Artificial Intelligence 2 (3-4):189-208.
Planning in a hierarchy of abstraction spaces.Earl D. Sacerdoti - 1974 - Artificial Intelligence 5 (2):115-135.
Quantitative results concerning the utility of explanation-based learning.Steven Minton - 1990 - Artificial Intelligence 42 (2-3):363-391.
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