Abstract
Agent-Based Simulations are well adapted to model complex social systems in various domains. The simulation is considered as an efficient way to predict, to explore and to test hypothesis for problems that cannot be reproduced in the real world. We are convinced and we fully believe that the simulation of complex systems requires the development and the execution of a complex Multi-Agent System (MAS). To face this complexity, users need to understand how such a complex MAS operates. This paper focuses on the explanation of agents’ behaviors and their way to act and interact. For this purpose, we propose to associate the MAS with a Knowledge Based System for Explanation (KBSE) called EXPLAIN_MAS.
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Hedhili Sbaï, A., Lejouad Chaari, W. (2015). Explain_Mas: An Agent Behavior Explanation System. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_28
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DOI: https://doi.org/10.1007/978-3-319-18944-4_28
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