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Artificial intelligence : foundations of computational agents par Poole, David L. Publication : New York Cambridge University Press 2010 . xvii, 662 pages , "Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. It teaches the main principles and tools that will allow readers to explore and learn on their own. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving"--Provided by publisher. 26 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Computational intelligence methods and techniques par Rutkowski, Leszek. Publication : Berlin Springer. 2008 . xiii, 514 pages , "Originally published in Polish [as] Metody i techniki sztucznej inteligencji by Leszek Rutkowski, 2005 Polish Scientific Publishers PWN"--T.p. verso. 24 cm. Date : 2008 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Modelling and control for intelligent industrial systems adaptive algorithms in robotics and industrial engineering par Rigatos, Gerasimos G., Publication : Berlin | Heidelberg Springer 2011 . 1 online resource (xxviii, 379 pages) , Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing huma. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Systems and human science, for safety, security, and dependability : seleced papers of the 1st International Symposium SSR2003, Osaka, Japan, November 2003 /   Publication : . 1 online resource (xiv, 553 pages) : , Our society keeps growing with a large number of complicated machines and systems, while we are spending our diverse lives. The number of aged people has been increasing in the society. It is more likely than ever that we are involved in dangers, accidents, crimes, and disasters. Securing and supporting our daily life, building reliable infrastructures against large scale disasters, and preventing unexpected human errors are crucial issues in our highly developed complex society. The systems theory can provide "modelling, decision analysis and management for safety and security" as well as "fault detection and reliable control for the design of fail-safe, fool-proof machines and systems". If the human nature is analyzed and treated properly in the process of designing machines and systems, we could create safer, more reliable, and more intelligent machines and systems that can support our society and give us no anxiety and no uneasiness. "Hybrid systems modelling human behaviours" and "services for human" could give proper examples in this respect. "Robotics for safety and security", "safety recovery systems", "visual surveillance and monitoring", and "transportation systems for safety and security", those will provide powerful tools for safe, secure, and reliable systems to achieve peaceful society. Key features: - Towards a new science and its practical applications - Analysis of humans contributing to system designs - Evaluations of systems in the aspects of sense of security and feeling of easiness. Towards a new science and its practical applications Analysis of humans contributing to system designs Evaluations of systems in the aspects of sense of security and feeling of easiness. | "The First International Symposium on Systems and Human Science was successfully held in November 19 and 20, 2003, at Osaka University"--Pref. Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Wind power systems applications of computational intelligence par Wang, Lingfeng Publication : Berlin Springer 2010 . 437 p. , Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution. Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Adaptive Dynamic Programming for Control Algorithms and Stability / par Zhang, Huaguang. Publication : . XVI, 424 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4757-2,

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Economic Modeling Using Artificial Intelligence Methods par Marwala, Tshilidzi. Publication : . XVI, 261 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-5010-7,

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Cooperative Control of Multi-Agent Systems Optimal and Adaptive Design Approaches / par Lewis, Frank L. Publication : . XX, 307 p. 80 illus., 59 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-5574-4,

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Particle Filters for Random Set Models par Ristic, Branko. Publication : . XIV, 174 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4614-6316-0,

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Artificial Cognition Architectures par Crowder, James A. Publication : . XVI, 263 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4614-8072-3,

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Multilayer Neural Networks A Generalized Net Perspective / par Krawczak, Maciej. Publication : . XII, 182 p. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-00248-4,

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