on Modelling and Simulation
Simulation of Intelligent Systems (IS)
© Klaus G. Troitzsch
In today’s world, there is an ever-increasing need for intelligent systems, systems that can learn and adapt to a changing environment. In order to achieve this, intelligent systems usually incorporate or are based on models or simulations of the environment. The intelligent system track will provide a forum for the presentation and discussion of recent research and applications of simulations for intelligent systems. It aims to encourage and to facilitate interdisciplinary communication amongst university researcher and industry professionals applying techniques such as evolutionary and genetic algorithms, fuzzy logic and artificial neural network models.
Topics of interest include but are not limited to:
computational intelligence and cognitive systems,
evolutionary and genetic algorithms,
artificial neural networks,
intelligent machine learning systems,
methodologies, models and algorithms, tools.
Papers dealing with the applications of computational intelligence in a widest sense are welcome but are not limited to:
pre-processing of data,
speech and image recognition,
hybrid systems which combine different techniques,
simulation tools for research, education, development,
neural networks models of systems,
interdisciplinary applications using soft computing methods.
created by M.-M. Seidel Last update