AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA - Publikacja - MOST Wiedzy

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AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA

Abstrakt

Below work tries to answer a question: if it is possible to replace real human with computer system in social games. As a subject for experiments, card games were chosen, because they require a lot of player interaction (playing and taking cards), while their rules are easy to present in form of clear list of statements. Such a system, should allow real players to play without constant worrying about guiding or helping computer player. It should be as self-sufficient as possible and be able to monitor game state and react properly. In order to fully simulate real gamer behavior there was created a learning module which adapted while playing, acknowledged new rules and improved strategy. This work has successfully proven that, system like that can be created and used to play with humans, compete with them and also win some games.

Pełna treść

Informacje szczegółowe

Kategoria:
Archiwalna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Tytuł wydania:
ICT YOUNG 2013 : materiały konferencyjne strony 63 - 68
Język:
angielski
Rok wydania:
2013
Opis bibliograficzny:
Wójcik M., Kruczkowski M.: AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA// ICT YOUNG 2013 : materiały konferencyjne/ ed. Piotr Skorowski, Mateusz Zabolski Gdańsk: Wydział Elektroniki, Telekomunikacji i Informatyki, 2013, s.63-68
Weryfikacja:
Politechnika Gdańska

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