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

MAKE IMPACT

Dmitry Gnatyshak , Luis Oliva-Felipe , Sergio Álvarez-Napagao , Julián Padget , Javier Vázquez-Salceda , Darío Garcia-Gasulla , Ulises Cortés · YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.48550/arxiv.1911.10055

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.

Type

preprint

Language

en

Landing Page

http://arxiv.org/abs/1911.10055

PDF

https://arxiv.org/pdf/1911.10055

OA Status

green

References

15

Related Works

10

OpenAlex ID

https://openalex.org/W2989672538

Raw OpenAlex JSON