SIEC 2010 - 1st International Conference on Swarm Intelligence and Emergent Computing (SIEC 2010)

The 1st International Conference on Swarm Intelligence and Emergent Computing (SIEC 2010)

Chongqing, China, 12-14 July 2010
http://siwn.org.uk/2010/SIEC10.htm

Call for Papers (PDF TXT)

Complex Adaptive Systems are widespread both in the nature and in socio-economic phenomena. A Multi-Agent Based Complex System has its dynamic behaviour that is inherently emerging as a result of intensive interactions among its massive agents. Examples of Multi-Agent Based Complex Systems include social insects, population aggregations in urbane regions, market based economy, city taxi cabs, etc. Swarm Intelligence represents a methodology for analyzing and modeling Multi-Agent Based Complex Systems, and Emergent Computing is concerned with the methodology for engineering robust, dependable, self-adaptable Multi-Agent Based Complex Systems out of massive, simple, unreliable objects, devices or units. Essentially Emergent Computing represents a new approach which takes a Collective Intelligence point of view upon all types of artificial systems, e.g., web/Internet based systems, social networking, online virtual communities, pervasive/ubiquitous computing, ambient intelligence, socio-technical systems, and so forth.

SIEC2010 aims to provide a timely international, multi-disciplinary forum on the latest theories, methods, techniques and applications in Swarm Intelligence and Emergence Computing.

Important Dates
10 February 2010 Submission of manuscripts
20 March 2010 Notification of acceptance
10 May 2010 Camera-Ready Version (CRV) due
12-14 July 2010 Conferences
Submission & Publication
online submission SIEC 2010

Instructions on Manuscripts & Publication
Topics of particular interest include (but not limited to) the followings.

(1) Biological and Scio-economic Inspirations for Swarms
- artificial life
- biologically inspired computing
- biologically inspired interaction mechanisms
- biologically inspired process algebra and formal specifications
- collective intelligence
- computational pheromones, potential field, economy
- market economy
- models of social insects
- self-organization in biological systems
- social insets
- social intelligence
- stigmergy

(2) Emergence and Interactions
- autonomy based interactions
- cybernetic principles and self-organization
- formal approaches to handling local/global agent behaviors
- game theoretic approaches to emergence in multi-agent systems
- interaction mechanisms for self-organization and adaptation
- models, methods and tools for achieving global coherent behaviors
- multi-agent based complex systems
- principles of emergence, understanding, controlling, or exploiting emergent behaviors
- relation between high-level goals and local interactions
- specification based interaction mechanisms
- trust-based interaction mechanisms

(3) Swarm Optimization
- ant colony optimization (ACO)
- ants algorithms
- computational swarm models
- cultural evolution
- evolutionary computing
- particle swarm optimization (PSO)
- social evolution

(4) Emergent Computing
- amorphous computing
- analytic models of emergent behaviors
- cellular automata approaches to emergence in multi-agent systems
- cognitive computing
- collective intelligence/emergence in cloud/Grid computing, service-oriented computing (SOC)
- collective intelligence/emergence in pervasive/ubiquitous computing, ambient intelligence
- collective intelligence/emergence in service discovery and delivery, service-oriented architectures (SOA)
- collective intelligence/emergence in social networking, online virtual communities
- collective intelligence/emergence in web/Internet systems
- controllability of emergence
- granular computing
- molecular/cellular computer, DNA computing
- multi-agent based complex systems
- nanocomputing
- natural computing, evolutionary computation
- performance engineering of emergent behaviors in multi-agent systems
- quantum computing

(5) Applications
- industrial automation
- network routing
- socio-technical systems
- traffic scheduling