Modeling and Understanding Future Action Decisions of Players during Online Gaming
Author:
Affiliation:
1. Macquarie University, Australia
2. Dept. of Psychology, Macquarie University, Australia
3. University of Naples, Italy
Funder
Macquarie Cotutelle (Industrial and International Leverage Fund) Award
Australian Research Council Future Fellowship
Integrated collaborative systems for smart factory - ICOSAF
International Macquarie University Research Excellence Scholarship Scheme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3527188.3563926
Reference12 articles.
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2. Human-inspired strategies to solve complex joint tasks in multi agent systems
3. Fabrizia Auletta Rachel W Kallen Mario di Bernardo and Micheal J Richardson. 2022. Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI. arXiv preprint arXiv:2206.02739(2022). Fabrizia Auletta Rachel W Kallen Mario di Bernardo and Micheal J Richardson. 2022. Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI. arXiv preprint arXiv:2206.02739(2022).
4. The dynamic neural field approach to cognitive robotics
5. Xiaocong Fan , Michael McNeese , and John Yen . 2010. NDM-based cognitive agents for supporting decision-making teams. Human–Computer Interaction 25, 3 ( 2010 ), 195–234. Xiaocong Fan, Michael McNeese, and John Yen. 2010. NDM-based cognitive agents for supporting decision-making teams. Human–Computer Interaction 25, 3 (2010), 195–234.
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