Posted by: zyxo | February 14, 2008

Through Ant glasses, everything looks like a swarm

Today I found a list of topics of interest for Swarm Intelligence and patterns 2006 (SIP´06).
Apparently what you can do with swarm intelligence is infinite. Or can you do anything and call it swarm intelligence ? like the data management / information management/ knowledge management hypes ? Or is it somewhere in between ?

Here is the list :
– Intelligent Systems Design.
– Advanced Signal and Image processing algorithms.
– Pattern Recognition and Emergent Behaviour.
– Data Categorization, Visualization. Data and Knowledge Extraction /
– Feature Extraction and Selection. Unsupervised Learning.
– Information Systems and Knowledge Management.
– Collective Intelligence, Behaviour and Search. Exploring versus Exploiting.
– Artificial Habitats and Information.
– Exploratory Data Analysis. Data-Mining.
– Cognition, Interactivity, Signals and Communication.
– Bottom-up Strategies and Non-Hierarchical Systems.
– Adpative Systems and Self-Configuration.
– Mapping Concepts, Cognitive Maps and Self-Organizing Maps.
– Particle Swarm / Cultural Algorithms.
– Complex Adaptive Systems.
– Stigmergy, Self-Organization, Metamorphosis, Emergence and Co-Evolution.
– Artificial Life as well as other Animal Societies bio-inspired algorithms.
– Flocks, Herds and Schools.
– Artificial Societies and Web-based Communities.
– Wireless Communication, Cellular Systems, Indirect Communication through
– Social Networks and New Media.
– Artificial Immune Systems and Self-Organization.
– Classification, Sorting, Data Retrieval, Clustering.
– Web Mining, Semantic Web, Collaborative Mining, GRIDS, Network security.
– Auto-Catalysis, Positive and Negative Feedbacks, Cybernetics.
– Swarms and Cooperative Robotics.
– Distributed algorithms, self-regulation, self-repair and self-maintenance
– Biomedical, multimedia and e-commerce applications.
– Collective on-line Games. iDesign, Active aLif(v)e Art and e-Artefacts.
– Generative and Computational Art.
– Hybridization with other methods (e.g. Evolutionary Computation and
Neural Networks).

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