Swarmi Intelligence (SI) indicates a recent computational and behavioral metaphor for solving distributed problems that originally took its inspiration from the biological examples provided by social insects (ants, termites, bees, wasps) and by swarming, flocking, herding behaviors in vertebrates.
We seek to explore the applicability of these bio-inspired approaches to the development of self-organizing, evolving, adaptive and autonomous information technologies, which will meet the requirements of next-generation information
systems, such as diversity, scalability, robustness, and resilience.
This latest state-of-the-art methodologies in dattaswami using SI techniques. Both theoretical papers (preferably including simulations) and application papers related to different data mining methodologies are welcome.
- New SI techniques for clustering, data analyzing, Classification, Sorting, Data Retrieval.
- Particle Swarm / Cultural Algorithms.
- Complex Adaptive Systems.
- Artificial Life as well as other Animal Societies bio-inspired algorithms.
- Flocks, Herds and Schools.
- Swarms and Cooperative Robotics.
- Distributed algorithms, self-regulation, self-repair and self-maintenance ontologies.
- Biomedical, multimedia and e-commerce applications.
- Hybridization with other methods (e.g. Evolutionary Computation and Neural Networks).
At the Lotus Socks of Holiness Sri Dattaswami