[en] This paper presents findings on machine learning agent behavior prediction in a board game application developed by a group of students. The goal of this research is to create a model facilitating collaboration between a user and an AI to play together in the board game using a Human-in-the-Loop architecture. By injecting explainability, the aim is to enhance communication and understanding between the user and the AI agent. Featuring a competitive Artificial Intelligence (AI) based on the Proximal Policy Optimization model, this research explores methods to make AI decisions transparent for enhanced player understanding. Two predictive models, a Decision Tree (DT) and a Deep Learning (DL) classifier, were developed and compared. The results show that the DT model is effective for short-term predictions but limited in broader applications, while the DL classifier shows potential for long-term prediction without requiring direct access to the game's AI. This study contributes to understanding human-AI interaction in gaming and offers insights into AI decision-making processes.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Computer science Management information systems
Author, co-author :
Damette, Nathan; UTBM, CIAD UMR 7533, Belfort, France ; FINATRAX, SnT, University of Luxembourg, Kirchberg, Luxembourg
Szymanski, Maxime; UTBM, CIAD UMR 7533, Belfort, France
Mualla, Yazan; UTBM, CIAD UMR 7533, Belfort, France
TCHAPPI HAMAN, Igor ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
NAJJAR, Amro ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Leon VAN DER TORRE ; Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg
Adda, Mehdi; Université du Québec à Rimouski, Rimouski, Canada
External co-authors :
yes
Language :
English
Title :
Forecasting Future Behavior: Agents in Board Game Strategy
Publication date :
2024
Event name :
19th International Conference on Future Networks and Communications/ 21th International Conference on Mobile Systems and Pervasive Computing/14th International Conference on Sustainable Energy Information Technology
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