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Polynomial Algorithm for Solving Cross-matching Puzzles

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018471" target="_blank" >RIV/62690094:18450/21:50018471 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-87897-9_24" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-87897-9_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-87897-9_24" target="_blank" >10.1007/978-3-030-87897-9_24</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Polynomial Algorithm for Solving Cross-matching Puzzles

  • Popis výsledku v původním jazyce

    The aim of this paper it to analyze the cross-matching puzzle and to propose a fast and deterministic algorithm that can solve it. Nevertheless, there is a bigger goal than designing an algorithm for a particular problem. We want to show that while AI researchers constantly look for new constraint-satisfaction problems that could be utilized for testing various problem-solving techniques it is possible to come up with the problem that can be solved by much simpler algorithms. We would like to stress that there is an important misconception related to NP class that a huge number of potential solutions to the specific problem almost automatically implies that the relevant problem belongs to the class of NP. Such a misunderstanding and misclassification of the particular problem leads to false impression that there is no chance to design a simple and fast algorithm for the problem. Therefore, various heuristics or general problem-solving techniques are unnecessarily employed in order to solve it. And moreover, the wrong impression that the problem is difficult is further supported. We believe that our paper can help to raise the awareness that not all the problems with immense search spaces are hard to be solved and the polynomial algorithm to tackle the cross-matching puzzle that is described here is a good example of such an approach.

  • Název v anglickém jazyce

    Polynomial Algorithm for Solving Cross-matching Puzzles

  • Popis výsledku anglicky

    The aim of this paper it to analyze the cross-matching puzzle and to propose a fast and deterministic algorithm that can solve it. Nevertheless, there is a bigger goal than designing an algorithm for a particular problem. We want to show that while AI researchers constantly look for new constraint-satisfaction problems that could be utilized for testing various problem-solving techniques it is possible to come up with the problem that can be solved by much simpler algorithms. We would like to stress that there is an important misconception related to NP class that a huge number of potential solutions to the specific problem almost automatically implies that the relevant problem belongs to the class of NP. Such a misunderstanding and misclassification of the particular problem leads to false impression that there is no chance to design a simple and fast algorithm for the problem. Therefore, various heuristics or general problem-solving techniques are unnecessarily employed in order to solve it. And moreover, the wrong impression that the problem is difficult is further supported. We believe that our paper can help to raise the awareness that not all the problems with immense search spaces are hard to be solved and the polynomial algorithm to tackle the cross-matching puzzle that is described here is a good example of such an approach.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Artificial Intelligence and Soft Computing. Lecture Notes in Computer Science, vol 12855.

  • ISBN

    978-3-030-87896-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Počet stran výsledku

    10

  • Strana od-do

    257-266

  • Název nakladatele

    Springer

  • Místo vydání

    Cham

  • Místo konání akce

    Zakopane, Poland

  • Datum konání akce

    21. 6. 2021

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku