Engineering Self-Organising Systems, 2005 Methodologies and Applications Lecture Notes in Artificial Intelligence Series

State of the Art.- Emergence Versus Self-Organisation: Different Concepts but Promising When Combined.- About Engineering Complex Systems: Multiscale Analysis and Evolutionary Engineering.- Adaptive Information Infrastructures for the e-Society.- Synthesis and Design Methods.- Agent-Based Modelling of Stem Cell Self-organisation in a Niche.- Ambient Cognitive Environments and the Distributed Synthesis of Visual Ambiences.- Using the Experimental Method to Produce Reliable Self-Organised Systems.- An Architecture for Self-Organising Evolvable Virtual Machines.- Self-Organising, Open and Cooperative P2P Societies – From Tags to Networks.- Self- ssembly and Robots.- Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach.- Directed Self-assembly of 2-Dimensional Mesoblocks Using Top-Down/Bottom-Up Design.- Analysis of a Stochastic Model of Adaptive Task Allocation in Robots.- Emergent Team Formation: Applying Division of Labour Principles to Robot Soccer.- Stigmergy and Related Topics.- Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET’s).- Emergent Forecasting Using a Stigmergy Approach in Manufacturing Coordination and Control.- IDReAM: Intrusion Detection and Response Executed with Agent Mobility.- Managing Dynamic Flows in Production Chains Through Self-Organization.- Industrial Applications.- A Self-Organizing and Fault-Tolerant Wired Peer-to-Peer Sensor Network for Textile Applications.- Applying Distributed Adaptive Optimization to Digital Car Body Development.- Adaptive Service Placement Algorithms for Autonomous Service Networks.