Cognition and Cognitics - Definitions and Metrics for Cognitive Sciences, in Humans, and for Thinking Machines, 2nd edition, with considerations of life, through the prism
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What is intelligence, learning, or abstraction? How to assess complexity? How much knowledge is required to help at home? Classical theories do not answer satisfactorily most of these questions; the book does, providing the main founding elements for cognitive sciences, for humans and machines. Smartphones, robots, networks and mechatronic systems, all these non-human resources invade the domain of cognition: computations, games, translations, computer vision, speech recognition, ability for robots to follow a human, or replication of movements taught by gestures. This is the field of…mehr

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Produktbeschreibung
What is intelligence, learning, or abstraction? How to assess complexity? How much knowledge is required to help at home? Classical theories do not answer satisfactorily most of these questions; the book does, providing the main founding elements for cognitive sciences, for humans and machines. Smartphones, robots, networks and mechatronic systems, all these non-human resources invade the domain of cognition: computations, games, translations, computer vision, speech recognition, ability for robots to follow a human, or replication of movements taught by gestures. This is the field of automated cognition, "cognitics", which requires to be managed accurately, quantitatively. This second edition is augmented to consider cognition in a more global perspective, where life appears as a rainbow, with four fundamental colors: real, imaginary, values and collective. There emerges a new apprehension of time and emotions, as well as multiple elements of wisdom, both as principles, and in concrete cases.
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Autorenporträt
Jean-Daniel Dessimoz is an engineer with a PhD in Science (Ecole Polytechnique Fédérale de Lausanne - EPFL) and an MBA (Univ. Lausanne). He has long contributed to academic education, research and outreach in various fields, including signal processing, computer engineering, robotics and automation, and astronautics. In addition, his long-standing interest in the humanities and social activities has gradually merged with his main involvement in hard science to eventually make machines think and cooperate, and to enable humans to better think about their development and the meaning of life.