<table width="100%" cellspacing="0" cellpadding="0" border="0"><tbody><tr><td width="42" valign="baseline"><br></td><td width="100%" valign="top">Aims and Scope<br>We apply Artificial Intelligence in ever more application domains but AI still lacks the adaptability and resilience of most biological systems. One of those gaps is probabilistic reasoning and decision making. Nature as a paragon brings fuzzy reasoning, neuronal networks, and learning together, e.g., to decide on a fight–or–flight response. The inspiration of Computational Intelligence originating from natural systems, therefore, aims at closing this gap with theoretical results as well as applying them in real–world applications.<br>Call for Papers<br>Like the IEEE Computational Intelligence Society which describes its focus as ″the theory, design, application, and development of biologically and linguistically motivated computational paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained″ the Workshop on Computational Intelligence aims to bring together scientists and specialist form industry to tackle some of the challenges of AI and their application. Thus, we invite you to submit original research and application papers including but not limited to the following topics:<br>Fuzzy logic:<br>Probabilistic models of meaning Probabilistic reasoning Fuzzy inference Decision making in uncertainty Evaluation of Probabilistic Models<br>Neuronal Networks:<br>Generalizations of neuronal networks Explainable ANN Spreading Activation Neuroevolution<br>Evolutionary computations:<br>Online Genetic Algorithms ANN and generational learning Biased Genetic Algorithms Transfer learning with GA<br>Learning theory:<br>Adversarial Learning Reinforcement Learning Abductive Deductive Reasoning<br></td></tr></tbody></table>
Abbrevation
CI
City
Kassel
Country
Germany
Deadline Paper
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