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ESOA
2006
10 years 3 months ago
Design Patterns for Decentralised Coordination in Self-organising Emergent Systems
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...
Tom De Wolf, Tom Holvoet
ESOA
2006
10 years 3 months ago
ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks
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 ...
Jorge Simão
ESOA
2006
10 years 3 months ago
An Analysis and Design Concept for Self-organization in Holonic Multi-agent Systems
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...
ESOA
2006
10 years 3 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
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...
ESOA
2006
10 years 3 months ago
Hybrid Multi-agent Systems: Integrating Swarming and BDI Agents
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,...
ESOA
2006
10 years 3 months ago
A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm
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...
Martin Kelly, Giovanna Di Marzo Serugendo
ESOA
2006
10 years 3 months ago
Reinforcement Learning for Online Control of Evolutionary Algorithms
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...
ESOA
2006
10 years 3 months ago
Greedy Cheating Liars and the Fools Who Believe Them
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...
Stefano Arteconi, David Hales, Özalp Babaoglu
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