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Communication Dans Un Congrès Année : 2022

Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform

Résumé

In recent years, deep learning and simulation have come to receive a significant amount of focus from researchers. A great deal of work has gone into connecting these two fields, however, merging them is not something that can be accomplished quickly. The majority of those possible combinations include using the results of the simulation as input for deep learning, or vice versa. There are not yet many possible mixtures in which the agent possesses an innate capacity for deep learning, which would contribute to the agent’s more intelligent behavior. In addition, the majority of deep learning models are built with Python, whereas the GAMA platform [1] and NetLogo [2] are frequently used to create simulation models. As a means of bridging these two domains, we present Gampy - a GAMA plugin that assists in the integration of a deep-learning model that has been pre-trained in Python. The agent has been updated to provide a predictive capability that makes use of models trained from Python deep learning frameworks (Tensorflow/Keras [3, 4] and Pytorch [5])). Moreover, we demonstrate the efficiency of this plugin by showcasing a few different applications. The findings reveal that Gampy’s execution time outperforms alternative networking approaches.
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Dates et versions

hal-03724095 , version 1 (19-07-2022)

Identifiants

  • HAL Id : hal-03724095 , version 1

Citer

Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel. Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform. 2nd conference GAMA Days 2022, Jun 2022, Online, France. ⟨hal-03724095⟩
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