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Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems.
- Source :
- Artificial Intelligence Review; Jan2011, Vol. 35 Issue 1, p53-72, 20p, 5 Diagrams, 1 Chart, 3 Graphs
- Publication Year :
- 2011
-
Abstract
- This article introduces a novel approach to increase the performances of multi-agent based simulations. We focus on a particular kind of multi-agent based simulation where a collection of interacting autonomous situated entities evolve in a situated environment. Our approach combines the fast multipole method coming from computational physics with agent-based microscopic simulations. The aim is to speed up the execution of a multi-agent based simulation while controlling the precision of the associated approximation. This approach may be considered as the first step of a larger effort aiming at designing a generic kernel to support efficient large-scale multi-agent based simulations. This approach is illustrated in this paper by the simulation of large scale flocking dynamical systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02692821
- Volume :
- 35
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Artificial Intelligence Review
- Publication Type :
- Academic Journal
- Accession number :
- 57242884
- Full Text :
- https://doi.org/10.1007/s10462-010-9183-9