Abstract
Multi-agents are being increasingly used in many areas, especially in Health Systems. In a game the agents’ paradigm provides more autonomy, intelligence and pro-activity. In this context, Multi-agents systems can be used to control the user performance, by adapting the interface to the difficulty tasks level. This paper aims at describing the development process of SMEC-3D, a cognitive stimulation game that integrates Virtual Reality and Multi-agent technologies. The SMEC-3D modeling process used i* (i-star) framework to model the goals, agents, domain, plans and tasks. The game objective is to improve attention and memory of patients with neuropsychiatric disorders. The paper describes the development process specially the agents’ methodology. The resulted SMEC-3D game showed that the combination of tools and programming languages applied to this experiment worked efficiently.
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Acknowledgments
This work is part of the “Instituto Nacional de Ciencia e Tecnologia - Medicina Assistida por Computação Cientifica” (Medicine assisted by Scientific Computation), Brazil. Grant E-26/170.030/2008.
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Braz, P., Werneck, V.M.B., de Souza Cunha, H., da Costa, R.M.E.M. (2018). SMEC-3D: A Multi-agent 3D Game to Cognitive Stimulation. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_22
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