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All CFPs on WikiCFP | ||||||||||||||||||
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Present CFP : 2014 | ||||||||||||||||||
CALL FOR PAPERS
Download as PDF Scope of the conference Adaptation plays a central role in dynamically changing systems. It is about the ability of the system to "responsively" self-adjust upon change in the surrounding environment. Like in living creatures that have evolved over millions of years developing ecological systems due to their self-adaptation and fitness capacity to the dynamic environment, systems undergo similar cycle to improve or at least do not weaken their performance when internal or external changes take place. Internal or endogenous change bears on the physical structure of the system (hardware and/or software components) due mainly to faults, knowledge inconsistency, etc. It requires a certain number of adaptivity features such as flexible deployment, self-testing, self-healing and self-correction. Extraneous change touches on the environment implication like operational mode or regime, non-stationarity of input, new knowledge facts, need to cooperation with other systems, etc. These two classes of change shed light on the research avenues towards smart systems. To meet the challenges of these systems, a sustainable effort is necessary to develop: (1) adequate operational structures involving notions like self-healing, self-testing, reconfiguration, optimal software and hardware synergy, etc.; (2) appropriate design concepts encompassing self-x properties (self-organization, self-monitoring, etc.) to allow for autonomy and optimal behavior in the (dynamically changing) environment; (3) efficient computational algorithms targetting dynamic setting, life-long learning, evolving and adaptive behavior and structure. For the sake of this three-fold development direction, various design and computational models stemming from machine learning, statistics, metaphors of nature inspired from biological and cognitive plausibility, etc. can be of central relevance. ICAIS intends to be a forum for researchers and practitioners to discuss the recent advances of adaptive and intelligent systems with respect to the three research directions and their application in various practical domains. Target topics (but not limited to) are: Track 1: Self-X Systems Self-adaptation Self-organization and behavior emergence Self-managing Self-healing Self-monitoring Multi-agent systems Self-X software agents Self-X robots Self-organizing sensor networks Evolving systems Track 2: Incremental Learning Online incremental learning Self-growing neural networks Adaptive and life-long learning Plasticity and stability Forgetting Unlearning Novelty detection Perception and evolution Drift handling Adaptation in changing environments Track 3: Online Processing Adaptive rule-based systems Adaptive identification systems Adaptive decision systems Adaptive preference learning Time series prediction Online and single-pass data mining Online classification Online clustering Online regression Online feature selection and reduction Online information routing Track 4: Dynamic and Evolving Models in Computational Intelligence (Dynamic) Neural networks architectures (Dynamic) Evolutionary computation (Dynamic) Swarm intelligence (Dynamic) Immune and bacterial systems Uncertainty and fuzziness modeling for adaptation Approximate reasoning and adaptation Chaotic systems Track 5: Software & System Engineering Autonomic computing Organic computing Evolution Adaptive software architecture Software change Software agents Engineering of complex systems Adaptive software engineering processes Component-based development Track 6: Applications - Adaptivity and learning in Smart systems Ambient / ubiquitous environments Distributed intelligence Robotics Industrial applications Internet applications Business applications Supply chain management etc. | ||||||||||||||||||
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