| Autor: |
Gnatyshak, Dmitry, Oliva-Felipe, Luis, Álvarez-Napagao, Sergio, Padget, Julian, Vázquez-Salceda, Javier, Garcia-Gasulla, Dario, Cortés, Ulises |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Frontiers in Artificial Intelligence and Applications 319 (2019) 329-338 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.3233/FAIA190142 |
| Popis: |
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. |
| Databáze: |
arXiv |
| Externí odkaz: |
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