Engineering Self-Organising Systems: 4th International Workshop, ESOA 2006, Hakodate, Japan, May 9, 2006, Revised and Invited PapersSven Brueckner Springer Science & Business Media, 2007年1月18日 - 210 頁 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. |
內容
Integrating Swarming and BDI Agents | 1 |
An Analysis and Design Concept for Selforganization in Holonic Multiagent Systems | 15 |
Design Patterns for Decentralised Coordination in Selforganising Emergent Systems | 28 |
The Case of Foraging Ants | 50 |
Dynamic Decentralized AnyTime Hierarchical Clustering | 66 |
A Novel Paradigm for Affecting Distributed Behavior | 82 |
Programming Modular Robots with the TOTA Middleware | 99 |
An Adaptive Selforganizing Protocol for Surveillance and Routing in Sensor Networks | 115 |
Towards the Control of Emergence by the Coordination of Decentralized Agent Activity for the Resource Sharing Problem | 132 |
Reinforcement Learning for Online Control of Evolutionary Algorithms | 151 |
Greedy Cheating Liars and the Fools Who Believe Them | 161 |
Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment | 176 |
A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm | 192 |
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常見字詞
ALARM messages ants application approach architecture Artificial Intelligence ASOS Autonomous Agents behavior behaviosites Brueckner capacity cells cheating nodes clustering colony complex cooperation coordination mechanisms decentralised coordination design patterns disorder dist(ni distributed dynamic engineering entities environment ESOA evaluation evolutionary evolutionary algorithms Evolutionary Computation exploration Farol problem Figure fitness function food source function gait genetic algorithm global gradient field graph hazard type heavyweight agents hierarchy holon hypercomputing IEEE implementation increase infection initial interactions International lightweight agents middleware modular robot modules Multi-Agent Systems neighboring optimal organization parameters parasitized El Farol Parunak path performance pheromone propagation protocol random reinforcement learning represents role router routing self-organising emergent self-organization sensor networks sensor nodes simulation SLACER solution solve specific stigmergic strategy structure super-holon Swarm Intelligence swarming task tion TOTA traffic tuple utility values vehicles virtual machine