Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A reactive agent-based problem-solving model: Application to localization and tracking
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hi-index | 0.00 |
This paper presents a new approach for the evaluation of a system's global state properties. The approach is intented for the application to reactive multiagent system (RMAS) and adresses the evaluation of emergent properties such as global stabilisation. This approach is inspired by statistical physics and thermodynamics, as a way to link the microscopic and a macroscopic points of view. It gives an important role to partition function Z as defined in statistical physics. From this mathematical function can be extracted indicators that represent the global evaluation of the system state based on local phenomena. In this paper, the approach is put into practice by considering a classical reactive multiagent system: bird flocks simulation. The methodology was applied to analyze system stability. Experimental results obtained with a multiagent simulation platform are presented.