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arXiv · 1911.10055

Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing

Dmitry Gnatyshak·Luis Oliva-Felipe·Sergio Álvarez-Napagao·Julian Padget·Javier Vázquez-Salceda·Dario Garcia-Gasulla·Ulises Cortés
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Abstract

Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with increased reasoning capabilities (at the expense of a limited number of agents per simulation). This paper describes a first attempt at putting goal-oriented agents into large agent-based (micro-)simulations. We discuss a model for goal-oriented agents in High-Performance Computing (HPC) and then briefly discuss its implementation in PyCOMPSs (a library that eases the parallelisation of tasks) to build such a platform that benefits from a large number of agents with the capacity to execute complex cognitive agents.

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Dmitry Gnatyshak, Luis Oliva-Felipe, Sergio Álvarez-Napagao, Julian Padget, Javier Vázquez-Salceda, Dario Garcia-Gasulla, Ulises Cortés. 2019-11-22. Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing. https://doi.org/10.3233/faia190142

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