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Artificial Intelligence (AI) plays an important role in digital games nowadays. With players becoming increasingly demanding, it is vital to provide an AI that challenges and entertains them. The use of Adaptive Artificial Intelligence (AAI) has shown potential to adapt to each player by learning their techniques and offering a consistent challenge. This research consists on the analysis of an AAI technique known as Dynamic Scripting (DS) and in the development of a new algorithm (called Tactic Replacement) to improve it. Results show that, in comparison with the default DS algorithm, the proposed algorithm achieved a time reduction of ≈ 50% to achieve convergence. Also, it was able to reduce by 40% the average number of rounds to reach the convergence. Resumo. A Inteligência Artificial (IA) possui um importante papel nos jogos digitais atuais. Com os jogadores cada vez mais exigentes, é vital fornecer uma IA que os desafie e os entretenha. O uso da Inteligência Artificial Adaptativa (IAA) mostrou potencial para se adaptar a cada jogador, aprendendo suas técnicas e oferecendo um desafio consistente. Esta pesquisa consiste na análise da técnica de IAA conhecida como Dynamic Scripting (DS) e no desenvolvimento de um novo algoritmo (chamado de Substituição de Tática) para aprimorá-la. Resultados experimentais mostram que, quando comparado com a técnica padrão de DS, o algoritmo proposto obtém uma redução de tempo de convergência de ≈ 50% e reduz em 40% o número médio de rounds para a convergência.

Improving Dynamic Scripting for Adaptive Game AI with a Tactic Replacement Algorithm