The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Ant algorithms for discrete optimization
Artificial Life
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Collective and Cooperative Group Behaviors: Biologically Inspired Experiments in Robotics
The 4th International Symposium on Experimental Robotics IV
On the performance of ant-based clustering
Design and application of hybrid intelligent systems
Global convergence of local agent behaviors
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Signs of a revolution in computer science and software engineering
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
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Software today is no longer monolithic, but typically part of a system consisting of many components. As engineers are no longer in control of the entire system, novel methods are sought to design complex software systems that are built from the bottom up and are robust in a dynamically changing environment. The coordination method called stigmergy that is inspired by the collective behavior of social insects is one of the candidates to help solving this problem. In this paper we make a first step in formally understanding the essence of stigmergetic behavior by studying the famous ant foraging model of Deneubourg et al. We explore the relationship between the initial (dis)order in the environment and the performance of the ant foraging behavior. We further study how this configuration of the task to solve governs the behavior of the ant colony, with special focus on the level of coordination that is achieved.