The International Conference will consist of talks describing research work that deals with Computational Intelligence (CI) methodologies applied to Artificial and Human Societies. CI methodologies at the moment include (at least) Fuzzy Logic, Neural Networks, Genetic Algorithms, intelligent Agents, and Chaos Theory. The use of intelligent techniques, like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However, still the performance of any of these techniques can be improved, in many situations, by using them in conjunction with other techniques. The international conference will consist of talks addresing these hybrid approaches and similar ones, either theoretically or for real-world applications. Also, distinguished internationally recognized invited speakers will give lectures on the main areas of CI. The conference is intented primarily for researchers and graduate students working on these research areas.
Topics of interest (not limited to)
-
Successful new applications to real-world social problems of CI techniques that are found to achieve better results than conventional techniques.
-
Developments of innovate hybrid methods combining CI techniques and conventional techniques.
- CI architectures, models or techniques are also welcome, but the authors would have to make a detailed description of their proposed approach.
Specific Topics of interest (not limited to)
Social Applications using:
- Multi-Agent Systems
- Fuzzy Logic Theory
- Fuzzy Control
- Fuzzy Logic in Pattern Recognition
- Type-2 Fuzzy Logic
- Intuitionistic
- Evolutionary Computing Theory
- Genetic Algorithms