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Warianty tytułu
Języki publikacji
Abstrakty
A multi-robot environment with a STRIPS representation is considered. Under some assumptions such problems can be modelled as a STRIPS language (for instance, a Block World environment) with one initial state and a disjunction of goal states. If the STRIPS planning problem is invertible, then it is possible to apply the machinery for planning in the presence of incomplete information to solve the inverted problem and then to find a solution to the original problem. In the paper a planning algorithm that solves the problem described above is proposed and its computational complexity is analyzed. To make the plan precise, non-cooperative strategies are used.
Rocznik
Tom
Strony
359--367
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
- Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44–100 Gliwice, Poland
autor
- Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44–100 Gliwice, Poland
Bibliografia
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- [5] Belker T., Beetz M. and Cremers. A.B. (2002): Learning of plan execution policies for indoor navigation. — AI Comm., Vol. 15, No. 1, pp. 3–16.
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- [8] Bylander T. (1994): The computational complexity of propositional STRIPS planning. —Artif. Intell., Vol. 69, pp. 165– 204.
- [9] Fabricant A., Papadimitriou Ch. and Talvar K. (2004): The complexity of pure Nash equilibria. —Proc. ACM Symp. Theory of Computing, Chicago, pp. 604–612.
- [10] Gałuszka A. and Świerniak A. (2002): Planning in multi-agent environment as inverted STRIPS planning in the presence of uncertainty, In: Recent Advances In Computers, Computing and Communications (N. Mastorakis and V. Maldenov, Eds.).—Athens: WSEAS Press, pp. 58–63.
- [11] Gałuszka A. and Świerniak A. (2003): STRIPS representation and non-cooperative strategies in multi-robot planning. — Proc. 15th European Simulation Symposium (SCS), Delft, the Netherlands, pp. 110–115.
- [12] Gałuszka A. and Świerniak A. (2003a): Invertible planning and non-cooperative equilibrium strategies in multi-agent planning.—Proc. 11th IEEE Mediterranean Conf. Control & Automation, Rhodos, Greece, CD-ROM.
- [13] Gupta N. and Nau D.S. (1992): On the complexity of Blocks-World Planning. — Artif. Intell., Vol. 56, No. 2–3, pp. 223–254.
- [14] Howe A.E. and Dahlman E. (2002): A critical assessment of benchmark comparison in planning. — J. Artif. Intell. Res., Vol. 17, pp. 1–33.
- [15] Imai A., Nishimura E. and Papadimitriou S. (2001): The dynamic berth allocation problem for a container port. — Transp. Res., Vol. B 35, pp. 401–417.
- [16] Isil Bozma H. and Koditschek D.E. (2001): Assembly as a noncooperative game of its pieces: Analysis of 1D sphere assemblies. —Robotica, Vol. 19, pp. 93–108.
- [17] Karacapilidis N.I. and Papadias D. (1998): A computational approach for argumentative discourse in multi-agent decision making environment.—AI Comm., Vol. 11, No. 1, pp. 21–33.
- [18] Koehler J. and Hoffmann J. (2000): On reasonable and forced goal orderings and their use in an agenda-driven planning algorithm. — J. Artif. Intell. Res., Vol. 12, pp. 339–386.
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- [23] Papadimitriou Ch. (2001): Algorithms, games and the Internet. — Proc. ACM Symp. Theory of Computing, Hersonissos, Greece, pp. 749–753.
- [24] Papadimitriou Ch. (2001a): Theory of the Complexity. — Warsaw: Polish Scientific Publishers.
- [25] Skrzypczyk K. (2005): Control of a team of mobile robots based on non-cooperative equilibria with partial coordination. — Int. J. Appl. Math. Comp. Sci., Vol. 15, No. 1, pp. 89–97.
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- [27] Slavin T. (1996): Virtual port of call. — New Scientist, No. 15, pp. 40–43.
- [28] Smith D.E. and Weld D.S. (1998): Conformant graphplan. — Proc. 15th Nat. Conf. Artificial Intelligence, Madison, Wisconsin, USA, pp. 889–896.
- [29] Weld D.S. (1999): Recent Advantages in AI Planning. — AI Mag. Vol. 20, No. 2, pp. 93–123.
- [30] Weld D.S., Anderson C.R. and Smith D.E. (1998): Extending graphplan to handle uncertainty & sensing actions. — Proc. 15th Nat. Conf. Artificial Intelligence, Madison, Wisconsin, USA, pp. 897–904.
- [31] Wilson I.D. and Roach P.A. (2000): Container stowage planning: A methodology for generating computerised solutions. —J. Oper. Res. Soc., Vol. 51, pp. 1248–1255.
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- [33] Zhang Y., Wu Ch. and Bai Y. (2001): Implementing prioritized logic programming.—AI Comm., Vol. 14, No. 4, pp. 183–196.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ2-0018-0005