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Titlebook: Challenges for Computational Intelligence; Włodzisław Duch,Jacek Mańdziuk Book 2007 Springer-Verlag Berlin Heidelberg 2007 Statistica.arti

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The Challenges of Building Computational Cognitive Architectures,pecifying computational models. In this enterprise, a cognitive architecture is a domain-generic computational cognitive model that may be used for a broad, multiple-domain analysis of cognition. It embodies generic descriptions of cognition in computer algorithms and programs. Building cognitive ar
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Programming a Parallel Computer: The Ersatz Brain Project,pect of building a brain-like computer may not be in its construction, but in its use: How can it be programmed? What can it do well? What does it do poorly? In the history of computers, software development has proved far more difficult and far slower than straightforward hardware development. Ther
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The Human Brain as a Hierarchical Intelligent Control System,ical grounds. The paper then considers various components of information processing in the brain, choosing attention, memory and reward as key (Language cannot be handled in the space available). How these could then be used to achieve cognitive faculties and ultimately reasoning are then discussed,
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Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities,neural networks (ANN), inspired by principles at different levels of information processing in the brain: cognitive-, neuronal-, genetic-, and quantum, and mainly, the issues related to the integration of these principles into more powerful and accurate CI methods. It is demonstrated how some of the
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Towards Comprehensive Foundations of Computational Intelligence,ndations are discussed: computing and cognition as compression, meta-learning as search in the space of data models, (dis)similarity based methods providing a framework for such meta-learning, and a more general approach based on chains of transformations. Many useful transformations that extract in
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Knowledge-Based Clustering in Computational Intelligence, plethora of existing algorithms, the area offers an outstanding diversity of possible approaches along with their underlying features and potential applications. With the inclusion of fuzzy sets, fuzzy clustering became an integral component of Computational Intelligence (CI) and is now broadly exp
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