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    Wyświetlanie 1-4 z 4
    Tytuł:
    Optimisation of MCTS player for The Lord of the Rings: The Card Game
    Autorzy:
    Godlewski, Konrad
    Sawicki, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2173569.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computational intelligence
    LoTR
    Lord of the Rings
    Monte Carlo Tree Search
    inteligencja obliczeniowa
    Władca Pierścieni
    Opis:
    The article presents research on the use of Monte-Carlo Tree Search (MCTS) methods to create an artificial player for the popular card game “The Lord of the Rings”. The game is characterized by complicated rules, multi-stage round construction, and a high level of randomness. The described study found that the best probability of a win is received for a strategy combining expert knowledge-based agents with MCTS agents at different decision stages. It is also beneficial to replace random playouts with playouts using expert knowledge. The results of the final experiments indicate that the relative effectiveness of the developed solution grows as the difficulty of the game increases.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e136752
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimisation of MCTS player for The Lord of the Rings: The Card Game
    Autorzy:
    Godlewski, Konrad
    Sawicki, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2128154.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computational intelligence
    LoTR
    Lord of the Rings
    Monte Carlo Tree Search
    inteligencja obliczeniowa
    Władca Pierścieni
    Opis:
    The article presents research on the use of Monte-Carlo Tree Search (MCTS) methods to create an artificial player for the popular card game “The Lord of the Rings”. The game is characterized by complicated rules, multi-stage round construction, and a high level of randomness. The described study found that the best probability of a win is received for a strategy combining expert knowledge-based agents with MCTS agents at different decision stages. It is also beneficial to replace random playouts with playouts using expert knowledge. The results of the final experiments indicate that the relative effectiveness of the developed solution grows as the difficulty of the game increases.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e136752, 1--8
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computational intelligence in development of 3D printing and reverse engineering
    Autorzy:
    Rojek, Izabela
    Mikołajewski, Dariusz
    Nowak, Joanna
    Szczepański, Zbigniew
    Macko, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/2173553.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    additive manufacturing
    three-dimensional printing
    computational intelligence
    optimization
    drukowanie przestrzenne
    wytwarzanie przyrostowe
    AM
    druk trójwymiarowy
    inteligencja obliczeniowa
    optymalizacja
    Opis:
    Computational intelligence (CI) can adopt/optimize important principles in the workflow of 3D printing. This article aims to examine to what extent the current possibilities for using CI in the development of 3D printing and reverse engineering are being used, and where there are still reserves in this area. Methodology: A literature review is followed by own research on CI-based solutions. Results: Two ANNs solving the most common problems are presented. Conclusions: CI can effectively support 3D printing and reverse engineering especially during the transition to Industry 4.0. Wider implementation of CI solutions can accelerate and integrate the development of innovative technologies based on 3D scanning, 3D printing, and reverse engineering. Analyzing data, gathering experience, and transforming it into knowledge can be done faster and more efficiently, but requires a conscious application and proper targeting.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e140016, 1--9
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products
    Autorzy:
    Rojek, G.
    Regulski, K.
    Wilk-Kołodziejczyk, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/380386.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application of information technology
    foundry industry
    quality management
    casting defects
    computational intelligence
    artificial intelligence
    zastosowanie technologii informatycznych
    przemysł odlewniczy
    zarządzanie jakością
    wady odlewnicze
    inteligencja obliczeniowa
    sztuczna inteligencja
    Opis:
    One way to ensure the required technical characteristics of castings is the strict control of production parameters affecting the quality of the finished products. If the production process is improperly configured, the resulting defects in castings lead to huge losses. Therefore, from the point of view of economics, it is advisable to use the methods of computational intelligence in the field of quality assurance and adjustment of parameters of future production. At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development of information systems to support production processes in order to improve their effectiveness and compliance with the increasingly more stringent requirements of ergonomics, occupational safety, environmental protection and quality. This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance. The problem of control of the production process involves the use of tools such as the induction of decision trees, fuzzy logic, rough set theory, artificial neural networks or case-based reasoning.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 2; 11-16
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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