Adaptive AI for competitive gaming: particle-swarm-optimized neural network for skill, engagement, and strategic evolution

Artificial Intelligence (AI) has transformed the development of game agents, providing new levels of interactivity and engagement. Real-time decision-making, as in fighting games, abets the need for adaptive and human-like behaviour for agents, making competition difficult. In the classics of fighti...

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Détails bibliographiques

Auteurs principaux:	Usama Imtiaz, Hasan Mujtaba
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2025-11-01
Collection:	PeerJ Computer Science
Sujets:	Real-time decision making AI-human alignment Strategic diversity Neural network optimization Opponent behavior adaptation Particle swarm optimization (PSO)
Accès en ligne:	https://peerj.com/articles/cs-3347.pdf
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