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Robert C. Holte [8]Ragnar Holte [3]Robert Holte [2]R. Holte [1]
R. C. Holte [1]
  1. Predicting the Size of IDA*ʼs Search Tree.Levi H. S. Lelis, Sandra Zilles & Robert C. Holte - 2013 - Artificial Intelligence 196:53-76.
  2. MM: A Bidirectional Search Algorithm That is Guaranteed to Meet in the Middle.Robert C. Holte, Ariel Felner, Guni Sharon, Nathan R. Sturtevant & Jingwei Chen - 2017 - Artificial Intelligence 252:232-266.
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  3. Learning Heuristic Functions for Large State Spaces.Shahab Jabbari Arfaee, Sandra Zilles & Robert C. Holte - 2011 - Artificial Intelligence 175 (16-17):2075-2098.
  4.  1
    Concept Learning and Heuristic Classification in Weak-Theory Domains.Bruce W. Porter, Ray Bareiss & Robert C. Holte - 1990 - Artificial Intelligence 45 (1-2):229-263.
  5. Duality in Permutation State Spaces and the Dual Search Algorithm.Uzi Zahavi, Ariel Felner, Robert C. Holte & Jonathan Schaeffer - 2008 - Artificial Intelligence 172 (4-5):514-540.
  6. Monica,«The Philosopher».Ragnar Holte - 1994 - Augustinus 39:293-316.
  7. Predicting Optimal Solution Costs with Bidirectional Stratified Sampling in Regular Search Spaces.Levi H. S. Lelis, Roni Stern, Shahab Jabbari Arfaee, Sandra Zilles, Ariel Felner & Robert C. Holte - 2016 - Artificial Intelligence 230:51-73.
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  8. The Computational Complexity of Avoiding Spurious States in State Space Abstraction.Sandra Zilles & Robert C. Holte - 2010 - Artificial Intelligence 174 (14):1072-1092.
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  9. Maximizing Over Multiple Pattern Databases Speeds Up Heuristic Search.Robert C. Holte, Ariel Felner, Jack Newton, Ram Meshulam & David Furcy - 2006 - Artificial Intelligence 170 (16-17):1123-1136.
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  10.  1
    Inconsistent Heuristics in Theory and Practice.Ariel Felner, Uzi Zahavi, Robert Holte, Jonathan Schaeffer, Nathan Sturtevant & Zhifu Zhang - 2011 - Artificial Intelligence 175 (9-10):1570-1603.
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  11.  25
    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.
    This paper is about representations for Artificial Intelligence systems. All of the results described in it involve engineering the representation to make AI systems more effective. The main AI techniques studied here are varieties of search: path-finding in graphs, and probablilistic searching via simulated annealing and genetic algorithms. The main results are empirical findings about the granularity of representation in implementations of genetic algorithms. We conclude by proposing a new algorithm, called “Long-Term Evolution,” which is a genetic algorithm running on (...)
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  12. Speeding Up Problem Solving by Abstraction: A Graph Oriented Approach.R. Holte, T. Mkadmi, R. M. Zimmer & A. J. McDonald - 1996 - Artificial Intelligence 84 (1-2):358-359.
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  13.  3
    Speeding Up Problem Solving by Abstraction: A Graph Oriented Approach.R. C. Holte, T. Mkadmi, R. M. Zimmer & A. J. MacDonald - 1996 - Artificial Intelligence 85 (1-2):321-361.
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  14.  2
    Humanes Und Christliches Innerhalb der Sozialethik.Ragnar Holte - 1980 - Zeitschrift Für Evangelische Ethik 24 (1):275-287.
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