Treballs Fi de GrauEnginyeria Informàtica i Matemàtiques

Exploring the application of neural networks in complex card games

  • Identification data

    Identifier:  TFG:6975
    Authors:  Llatser Torres, Jordi
    Abstract:
    The aim of this work has been to develop a tool based on Artificial Intelligence to learn how to make decisions in a card game as complex as Magic: The Gathering. The project is focused on a part of the game where a card must be chosen from a set of up to 15 cards from the global game set of about 300 cards, considering the selections that have been previously made. Machine learning methods based on neural networks have been used, taking advantage of data from real players making these same selections. A game data representation model has been designed and a neural network has been implemented using the Python programming language. In this project we have managed to train an artificial intelligence in the previously defined task, managing to imitate the card selection made by players using a testing dataset from known plays. The system has also been evaluated by some players, obtaining good qualitative results.
  • Others:

    Department: Enginyeria Informàtica i Matemàtiques
    Subject: Xarxes neuronals (informàtica)
    Work's public defense date: 2023-06-14
    Creation date in repository: 2024-03-22
    Academic year: 2022-2023
    Student: Llatser Torres, Jordi
    Work's codirector: Escorcia Gutierrez, Jose
    Access rights: info:eu-repo/semantics/openAccess
    Education area(s): Enginyeria Informàtica
    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Project director: Valls Mateu, Aida
    Language: en
  • Keywords:

    Machine learning
    Artificial Intelligence
    Computer engineering
  • Documents:

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