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
—