There is little or no guidance to systematically design a self-organising emergent solution that achieves the desired macroscopic behaviour. This paper describes decentralised coor...
We present a simple model of self-organization for sensor networks that addresses two conflicting requirements: hazard situations should be reported to a sink node with as little ...
Holonic Multi-Agent Systems (HMAS) are a convenient way to engineer complex and open systems. In such systems, agents have to be able to self-organize to satisfy their goals. Our w...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
The individual agents that interact in a multi-agent system typically exist along a continuum ranging from heavyweight cognitive agents (often of the "BDI" type) to light...
H. Van Dyke Parunak, Paul Nielsen, Sven Brueckner,...
This paper describes a car traffic control simulation realised in a decentralised way by message propagations: congested nodes (roads intersections) send speed-up or slow-down mess...
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Marti...
Evolutionary algorithms based on "tags" can be adapted to induce cooperation in selfish environments such as peer-to-peer systems. In this approach, nodes periodically co...
In this paper we have proposed a new route finding method for car navigation systems meanwhile, have utilized learning power and high speed of neural networks in our proposed meth...