Termite
head on Scanning Electron Microscope (SEM), by Univ. of Toronto
Swarm Intelligence and Patterns (SIP'04)
Int. Workshop Session at ISDA’04 – 4th International Conference on Intelligent Systems,
Design and Applications, August 26-28, 2004, Budapest, Hungary.
Session Chairs:
Vitorino Ramos (CVRM-IST, Technical University of Lisbon, Lisbon, PORTUGAL) and
Ajith Abraham (Bio-Inspired Grid Lab, Oklahoma State University, Tulsa, USA).
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SCOPE AND CALL FOR PAPERS [PDF version in
here]:
Self-organizing intelligent complex systems typically are comprised of a large number of frequently similar components or events. Through their process, a pattern at the global-level of a system emerges solely from numerous interactions among the lower-level components of the system. Moreover, the rules specifying interactions among the system’s components are executed using only local information, without reference to the global pattern, which, as in many real-world problems is not easily accessible or possible to be found. Stigmergy, a kind of indirect communication and learning by the environment found in social insects is a well know example of self-organization, providing not only vital clues in order to understand how the components can interact to produce a complex pattern and engineer applications, as can pinpoint simple biological non-linear rules and means to achieve an improved design of artificial intelligent systems. Swarm Intelligence is precisely a relatively novel discipline devoted to the study of self-organizing collective processes in Nature and Human artefacts as well as on their applications. An example of particularly successful research direction in swarm intelligence is ant colony optimization (ACO), which focuses on discrete optimization problems, and has been applied successfully to a large number of hard discrete optimization problems including the travelling salesman, the quadratic assignment, scheduling, vehicle routing, etc., as well as to routing in telecommunication networks. However, apart from the remarkable successful applications in optimization as well as on their critical features as a bio-inspired computational paradigm, a small number of works have still been devoted to Data Classification and Retrieval Systems, Clustering, Pattern Recognition, Distributed Data-Mining, Web Mining and GRIDS, Collaborative Filtering, Image Analysis and Signal Processing, Pattern Formation, Perception, Memory and Generalization. At the present section 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. |
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| TOPICS
OF INTEREST include, but are not limited to, applications and
theory dealing with any aspect of Swarm Intelligence, Pattern Recognition,
Data and Image Processing, Artifcial Habitats and New Media as: - Intelligent Systems Design. - Advanced Signal and Image processing algorithms. - Pattern Recognition and Emergent Behaviour. - Data Categorization, Visualization. Data and Knowledge Extraction / Representation. - Feature Extraction and Selection. Unsupervised Learning. - Information Systems. - 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 artefacts. - 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 ontologies. - 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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PAPER SUBMISSION:
All
accepted papers should follow IEEE format (check also ISDA Call for Papers). Submitted papers have to be original,
6 pages long, containing new and original results. Author's guidelines
and format instructions can be downloaded from the following links (format
files): Microsoft
Word Template or Latex Template.
Please send the full paper (PDF) as an email attachment to Vitorino
Ramos with a cc to Ajith Abraham no longer than April 1, 2004.
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