What is the human mind? What is its template? The mind reveals itself in what it does. Do not to ask what the mind is but ask what it does and be not preoccupied how it does it. A piece of wood with metal attach to one end does not tell us the nature of the hammer. But driving a nail with such a metal/wood object reveals the nature of the hammer. So it is with the mind. Its nature is revealed in what it does. But who is the human mind? Is it your being or your features? Three hundred an fifty stories bring us closer to the answer. The mind is put to work because we are drawn inexorably into the future and always with a degree of uncertainty: sometimes watchful, other times unaware of what will happen next and many times not wanting to know. The purpose of the mind is to know what will happen next.
This is the most complete chronological account of Samuel Beckett's life and work, with full details of how, when and where each work by him came to be written, many details of which have only recently come to light and are often not known to scholars working in the field.
Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world environments demand truly autonomous solutions to provide the flexibility and robustness needed to operate well within them.This volume embraces hybrid solutions to demonstrate extending the classes of uncertainty autonomous systems can handle. In particular, it combines physical-autonomy (robots), cyber-autonomy (agents) and cognitive-autonomy (cyber and embodied cognition) to produce a rigorous subset of trusted autonomy: Cyber-Physical-Cognitive autonomy (CPC-autonomy).The body of the book alternates between underlying theory and applications of CPC-autonomy including 'Autonomous Supervision of a Swarm of Robots' , 'Using Wind Turbulence against a Swarm of UAVs' and 'Unique Super-Dynamics for All Kinds of Robots (UAVs, UGVs, UUVs and USVs)' to illustrate how to effectively construct Autonomous Systems using this model. It avoids the wishful thinking that characterizes much discussion related to autonomy, discussing the hard limits and challenges of real autonomous systems. In so doing, it clarifies where more work is needed, and also provides a rigorous set of tools to tackle some of the problem space.
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