Engineering Self-Organising Systems

4th International Workshop, ESOA 2006, Hakodate, Japan, May 9, 2006, Revised and Invited Papers

AvSven Brueckner,Salima Hassas

Häftad, Engelska, 2007

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Engineering Self-Organising Applications, ESOA 2006, held in Hakodate, Japan in May 2006. This was an associated event of AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multi-Agent Systems. The seven full papers presented together with six invited papers were carefully selected for inclusion in the book.

Produktinformation

Utgivningsdatum:2007-01-18
Mått:155 x 235 x 13 mm
Vikt:353 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:216
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540698678

Utforska kategorier

Programmeringsböcker inom Data och IT

Innehållsförteckning

Overall Design and Fundations.- Hybrid Multi-agent Systems: Integrating Swarming and BDI Agents.- An Analysis and Design Concept for Self-organization in Holonic Multi-agent Systems.- Design Patterns for Decentralised Coordination in Self-organising Emergent Systems.- Measuring Stigmergy: The Case of Foraging Ants.- Algorithms and Techniques.- Dynamic Decentralized Any-Time Hierarchical Clustering.- Behaviosites: A Novel Paradigm for Affecting Distributed Behavior.- Applications.- Programming Modular Robots with the TOTA Middleware.- ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks.- Towards the Control of Emergence by the Coordination of Decentralized Agent Activity for the Resource Sharing Problem.- Self-organization and Evolutionary Computing.- Reinforcement Learning for Online Control of Evolutionary Algorithms.- Greedy Cheating Liars and the Fools Who Believe Them.- Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment.- A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm.