2022
DOI: 10.31449/inf.v46i5.3897
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Evolving and training of Neural Network to Play DAMA Board Game Using NEAT Algorithm

Abstract: Neuroevolutionary algorithms, such as NeuroEvolution of Augmenting Topologies (NEAT) in Machine Learning (ML) methods, are utilized for training and playing computer games due to increased research in Artificial Intelligence (AI) field. NEAT is a genetic algorithm for the generation of evolving artificial neural networks. In this paper, a new study is presented. A Dama board game is designed, and the NEAT algorithm is implemented to develop and train the populations of neural networks for playing the game effi… Show more

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Cited by 2 publications
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“…2022 explores the application of the NEAT algorithm to train neural networks for efficient gameplay in the traditional board game Dama. Achieving or surpassing human-level performance, the research emphasizes the significance of abundant input information for optimal learning outcomes [40].…”
Section: Introductionmentioning
confidence: 99%
“…2022 explores the application of the NEAT algorithm to train neural networks for efficient gameplay in the traditional board game Dama. Achieving or surpassing human-level performance, the research emphasizes the significance of abundant input information for optimal learning outcomes [40].…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning techniques are mostly used to figure out if a packet is malicious or not, since each attack uses a different protocol, as well as to find out if a normal packet is acting strangely and stop the attacks [6]. ML makes it easier for computers to build models from data samples to help people make decisions that are based on data [7]. However, this paper recommends for blockchain smart contracts, which offer robust defense deprived of maintaining further development and design challenges using protocols [5].…”
Section: Introductionmentioning
confidence: 99%