The research in the field of vision conducted from 1919 by the Laboratory of Experimental Psychology, founded by Vittorio Benussi at the University of Padua, had a remarkable and innovative impact. This research went beyond the academic and disciplinary sphere and, starting in the 1960s, helped to stimulate a ground-breaking cultural and artistic scene, launching the city of Padua and its artists internationally. This volume explores the relationship between the works, milieux and exhibitions of the Gruppo N - Alberto Biasi, Ennio L. Chiggio, Toni Costa, Edoardo Landi, Manfredo Massironi - active in Padua from 1960 to 1964, and the studies of Vittorio Benussi and the first scholars of his School: Cesare Musatti, Fabio Metelli and Gaetano Kanizsa, who was born in Trieste but graduated in Padua. Marina Apollonio’s art and research occupy a special place in this dialogue between science and art. Texts by: Rossana Actis-Grosso, Elisa Baldini, Guido Bartorelli, Paolo Bernardis, Marco Bertamini, Giovanni Bianchi, Ivana Bianchi, Andrea Bobbio, Nicola Bruno, Elisa Caldarola, Marnie Campagnaro, Barbara Luciana Cenere, Alberto Cibin, Elena Clara, Osvaldo da Pos, Andrea Dissegna, Carlo Fantoni, Giovanni Galfano, Walter Gerbino, Enrico Giora , Massimo Grassi, Laura Messina-Argenton, Giulia Parovel Tamara Prest, Marta Previti, Lucia Regolin, Sergio Roncato e Baingio Pinna, Federica Stevanin, Giorgio Vallortigara, Ian Verstegen, Giuseppe Virelli, Daniele Zavagno. Text in Italian with English translations in the appendix.

Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.