SPECIAL SESSIONS

Due to its importance, there is a necessity to investigate new and promising methodologies that serve to equip intelligent system with adapativity or incremental learning (IL) capabilities. There is a large spectrum of applications that are faced with the problem of adaptivity in its general meaning or concretely with IL such as robotics, profiling, knowledge discovery, pattern recognition, classification tasks, clustering tasks, and data mining. The aim of this Special Session is to provide a wide look at the latest advances and to discuss the new trends and challenges in this area of research. Expected topics include (but not limited to):

• Smart systems
• Intelligent agents
• Incremental clustering
• Incremental classification
• On-line training algorithms
• Concept drift
• IL and neural networks,
• IL and fuzzy systems
• Static data mining
• Data stream mining
• Real-world applications

• Cognitive Architectures
• Interactive agents in dynamic games
• Fuzzy logic based agents (including neuro-fuzzy and genetic algorithms)
• Fuzzy cognitive maps
• Optimization and inference mechanisms for cognitive agents
• Believable characters
• Game applications (with special focus on serious gaming and simulations)

The objective of the special session is to provide an opportunity to exchange ideas on the application of fuzzy logic and soft computing in the design of flexible approaches to information access on the Web. The session aims at providing a forum for the discussion of recent advances in this research field and to offer an opportunity for researchers and practitioners to identify new promising research directions. The organizers welcome contributions that report on the application of fuzzy and soft computing tools within the fields of (but not limited to)

• Information retrieval systems
• Recommendation systems
• Web intelligent agent systems
• Digital libraries
• Web quality evaluation
• Hypermedia information systems
• Internet meta-searcher systems
• E-commerce applications
• Text categorization on the Web

• Add higher level deduction capability
• Precisiation of meaning
• A logic for approximate reasoning
• Information summarization
• Add content to the existing information
• Semantic Web and distributed data-based development
• Ontology development
• Moblization of the knowledge
• Web and Text Mining
• Machine-human interaction for better search and add human intelligence
• Development of web-question and answering (WQ&A)
• Search in Multi-Media
• Advances in analysis of graphs and networks
• Better targeted information delivery and services

As a result intelligent search engines with high WebMIQ with growing complexity and technological challenges are currently being developed. This requires new technology in terms of understanding, development, engineering design and visualization. While the technological expertise of each component becomes increasingly complex, there is a need for better integration of each component into a global model adequately capturing the imprecision and deduction capabilities.

Whereas pure FR utilizes black box models, QR utilizes explicit structural models. And whereas pure QR operates with symbolic 'quantities', FR explicitly reasons with fuzzy intervals of varying precision that are supported directly by the real number line. The fusion that is FQR captures the strengths of both these approaches: the integration of fuzzy set logic with structured qualitative models enables, on the one hand, the envisionment and/or simulation of system behaviors at higher levels of precision, and, on the other hand, the embeding of structural knowledge into fuzzy identifiers that results in an improved interpretability and robustness of nonlinear system identification from input-output data. In consequence, FQR enables the successful performance of reasoning tasks, at the appropriate levels, in application domains that are particularly problematic from the modeling point of view. The goal of the special session is to give an overview of the latest methodological developments in FQR, and to discuss the results of their application to problems from domains ranging from natural systems to robotics to finance.

• handling of imprecise scheduling parameters,
• development of fuzzy dispatching rules or fuzzy heuristics,
• representation of flexible constraints which express the satisfaction of the scheduler with the achieved values of the performance measure(s) of the schedules and timetables, etc

• genome analysis
• sequence analysis
• microarray analysis
• phylogenetic analysis
• structural bioinformatics
• gene expression
• genetics and population analysis
• system biology
• data and text mining
• ontologies
• biological network analysis
• cell modeling and simulation.

• Intelligent Environments
• Ambient Intelligence
• Embedded agents, Multi Embedded Agents
• Intelligent buildings
• Ubiquitous and Pervasive Computing
• Intelligent Autonomous Systems
• Intelligent Autonomous Robots
• Intelligent control of industrial processes

• Bioinformatics
• Robotics and Advanced Manufacturing
• Data Mining and Knowledge Discovery
• Advanced Communications and Multi-Media Applications
• Internet and Information Retrieval
• Electrical Engineering

• Genetic Algorithms for Learning and Tuning Fuzzy-Rule Based Systems
• Evolutionary Multi-objective Design of Fuzzy Rule-based Systems
• Interpretability-Accuracy Trade-off in Evolutionary Fuzzy Modeling, Classification and Control
• Genetic Fuzzy Systems to Handle Inherently Fuzzy Data
• Evolutionary Design of Fuzzy Neural Networks
• Evolutionary Fuzzy Clustering
• Fuzzy Systems design by other bio-inspired algorithms (Swarm Intelligence, Memetic Algorithms, etc.)

• New developments in GFS techniques and algorithms;
• Current and future directions in GFS research;
• Real-world applications of GFS.

This fascinating new field of research requires valuable research efforts and therefore you are invited to consider this track for discussion and publication of your outstanding research works. Although the track welcomes all related works, authors are especially encouraged to submit their research findings on the topics suggested below. This can include, Systems Science and Engineering, Mathematics, Biostatistics, Computer Science, Bioinformatics, Biology, Medicine, Genetics, Computational Biology, to name a few. Or even more, developed techniques, program or systems, in one discipline (e.g., electrical engineering) that the authors guess/think that can be extrapolated to biological targets.

• Fuzzy and possibilistic representation models for trust and reputation
• Fuzzy trust algebras
• Reputation metrics
• Distributed algorithms for trust assessment
• Trust and reputation in recommendation systems