Movlab – Laboratory of Technologies for Interactions and Interfaces

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http://hdl.handle.net/10437/11004

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Percorrer Movlab – Laboratory of Technologies for Interactions and Interfaces por assunto "ARTIFICIAL INTELLIGENCE"

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    Agentes ou Jogadores? Os monstros estranhamente reais dos jogos de computadores
    (Cetac, 2008-04-05) Luz, Filipe Costa; Abrantes, João M. C. S.; Escola de Comunicação, Arquitetura, Artes e Tecnologias da Informação
    Pretendemos mostrar como os sistemas de motion capture permitem transpor para avatares movimentos de pessoas reais para, com o auxílio do processamento gráfico e dos incrementos em Inteligência artificial, criar as planícies de Masahiro Mori, o uncanny valley. Acreditamos que, num futuro próximo, será possível emocionar jogadores se o realismo das interacções no jogo apresentar consistência semelhante às experiências no mundo real.
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    ColorShapeLinks: A board game AI competition for educators and students
    (Elsevier, 2021-02-23) Fachada, Nuno; Escola de Comunicação, Arquitetura, Artes e Tecnologias da Informação
    ColorShapeLinks is an AI board game competition framework specially designed for students and educators in videogame development, with openness and accessibility in mind. The competition is based on an arbitrarily-sized version of the Simplexity board game, the motto of which, “simple to learn, complex to master”, is curiously also applicable to AI agents. ColorShapeLinks offers graphical and text-based frontends and a completely open and documented development framework built using industry standard tools and following software engineering best practices. ColorShapeLinks is not only a competition, but both a game and a framework which educators and students can extend and use to host their own competitions. It has been successfully used for running internal competitions in AI classes, as well as for hosting an international AI competition at the IEEE Conference on Games.
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    SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition
    (Springer International Publishing, 2022-01-25) Fernandes, Pedro M. A.; Inácio, Pedro M. A.; Feliciano, Hugo; Fachada, Nuno; Escola de Comunicação, Arquitetura, Artes e Tecnologias da Informação
    ion of the Simplexity board game. The agent uses a highly efficient parallelized Minimax-type search, with an heuristic function composed of several partial heuristics, the balance of which was optimized with an evolutionary algorithm. SimpAI was the runner-up in the competition's most challenging session, which required an AI agent with good adaptation capabilities.