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Finding optimal solutions to Atomix (2001)

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by Falk Hüffner
Venue:KI 2001: ADVANCES IN ARTIFICIAL INTELLIGENCE, VOLUME 2174 OF LNCS/LNAI
Citations:6 - 5 self
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BibTeX

@INPROCEEDINGS{Hüffner01findingoptimal,
    author = {Falk Hüffner},
    title = {Finding optimal solutions to Atomix},
    booktitle = {KI 2001: ADVANCES IN ARTIFICIAL INTELLIGENCE, VOLUME 2174 OF LNCS/LNAI},
    year = {2001},
    pages = {229--243},
    publisher = {Springer}
}

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Abstract

We present solutions of benchmark instances to the solitaire computer game Atomix found with different heuristic search methods. The problem is PSPACE-complete. An implementation of the heuristic algorithm A * is presented that needs no priority queue, thereby having very low memory overhead. The limited memory algorithm IDA * is handicapped by the fact that, due to move transpositions, duplicates appear very frequently in the problem space; several schemes of using memory to mitigate this weakness are explored, among those, “partial” schemes which trade memory savings for a small probability of not finding an optimal solution. Even though the underlying search graph is directed, backward search is shown to be viable, since the branching factor can be proven to be the same as for forward search.

Citations

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60 Enhanced iterativedeepening search - Reinefeld, Marsland - 1994
56 Motion planning in the presence of movable obstacles - Wilfong - 1988
52 Searching with Pattern Databases - Culberson, Schaeffer - 1996
51 Sokoban is PSPACE-complete - Culberson - 1998
47 Finding optimal solutions to the twenty-four puzzle - Korf, Taylor - 1996
36 OBDDs in heuristic search - Edelkamp, Reffel - 1998
32 On limits and possibilities of automated protocol analysis - Holzmann - 1987
31 Pruning duplicate nodes in depth-first search - Taylor, Korf - 1993
27 Criticizing solutions to relaxed models yields powerful admissible heuristics. Information Sciences - Mayer, Yung - 1992
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24 SOKOBAN and Other Motion Planning Problems - Dor, Zwick - 1999
24 Divide-and-conquer bidirectional search: first results - Korf - 1999
21 Pushing the Limits: New Developments in Single-Agent Search - Junghanns - 1999
17 Protocol Verification with Heuristic Search - Edelkamp, Lafuente, et al. - 2001
17 Finding a shortest solution for the � � � extension of the 15-Puzzle is intractable - RATNER, WARMUTH - 1986
15 The .n2 1/-puzzle and related relocation problems - Ratner, Warmuth - 1990
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14 Notes on the ”15” Puzzle - Johnson - 1879
13 Hour is PSPACE-complete, or “Why you should generously tip parking lot attendants - Rush - 2002
13 Stochastic node caching for memory-bounded search - MIURA, ISHIDA - 1998
12 Localizing a - Edelkamp, Schrödl
12 Combining State Space Caching and Hash Compaction - Stern, Dill - 1996
10 PushPush and Push-1 are NP-hard in 2D - Demaine, Demaine, et al. - 2000
10 Assembling molecules in ATOMIX is hard - Holzer, Schwoon - 2004
10 the Smith Problem Solving Group. PushPush is NPhard in 3D - O’Rourke - 1999
7 The branching factor of regular search spaces - Edelkamp, Korf - 1998
5 Efficient memory-limited graph search - Eckerle, Schuierer - 1995
4 Theory and practice of time-space trade-offs in memory limited search - Edelkamp, Meyer - 2001
4 is NP-hard - Push- - 2000
3 Suffix tree automata in state space search - Edelkamp - 1997
1 Sokoban: A case-study in the application of domain knowledge in general search enhancements to increase efficiency in single-agent search - Junghanns, Schaeffer - 2000
1 Name=Water (Atomix 01) atom_1=1-c atom_2=3-cg atom_3=1-g - feld14
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