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Regular version of the site

Book chapter

Simulation of Agent-rescuer Behaviour in Emergency Based on Modified Fuzzy Clustering

P. 1275-1276.
Although there are various methods and models of agent’s behaviour in emergencies, the problem of the synthesis of the optimal control systems, which can support best evolution strategies for agent-rescuers in emergency characterized by a high level of an uncertainty, is still needed. We developed the simulation of agent-rescuers behaviour in emergencies and proposed an effective modified fuzzy procedure for dynamical clustering of the crowd in order to define the optimal values of control parameters for agent-rescuers (such as speed of agents, time of waiting, distribution types of agents-rescuers between crowd clusters, etc.).

In book

Simulation of Agent-rescuer Behaviour in Emergency Based on Modified Fuzzy Clustering
Edited by: C. M. Jonker, S. Marsella. Richland: International Foundation for Autonomous Agents and Multiagent Systems, 2016.