This book explores how the design, construction, and use of robotics technology may affect today’s legal systems and, more particularly, matters of responsibility and agency in criminal law, contractual obligations, and torts. By distinguishing between the behaviour of robots as tools of human interaction, and robots as proper agents in the legal arena, jurists will have to address a new generation of “hard cases.” General disagreement may concern immunity in criminal law (e.g., the employment of robot soldiers in battle), personal accountability for certain robots in contracts (e.g., robo-traders), much as clauses of strict liability and negligence-based responsibility in extra-contractual obligations (e.g., service robots in tort law). Since robots are here to stay, the aim of the law should be to wisely govern our mutual relationships.
A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction. Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem. Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress.
In a letter of 1932, Karl Popper described Die beiden Grundprobleme der Erkenntnistheorie – The Two Fundamental Problems of the Theory of Knowledge – as ‘...a child of crises, above all of ...the crisis of physics.’ Finally available in English, it is a major contribution to the philosophy of science, epistemology and twentieth century philosophy generally. The two fundamental problems of knowledge that lie at the centre of the book are the problem of induction, that although we are able to observe only a limited number of particular events, science nevertheless advances unrestricted universal statements; and the problem of demarcation, which asks for a separating line between empirical science and non-science. Popper seeks to solve these two basic problems with his celebrated theory of falsifiability, arguing that the inferences made in science are not inductive but deductive; science does not start with observations and proceed to generalise them but with problems, which it attacks with bold conjectures. The Two Fundamental Problems of the Theory of Knowledge is essential reading for anyone interested in Karl Popper, in the history and philosophy of science, and in the methods and theories of science itself.
This volume offers a solution to one of the central, unsolved problems of Western philosophy, that of induction. It explores the implications of Hume's argument that successful prediction tells us nothing about the truth of the predicting theory.
In this book the editors have gathered a number of contributions by persons who have been working on problems of Cognitive Technology (CT). The present collection initiates explorations of the human mind via the technologies the mind produces. These explorations take as their point of departure the question What happens when humans produce new technologies? Two interdependent perspectives from which such a production can be approached are adopted:• How and why constructs that have their origins in human mental life are embodied in physical environments when people fabricate their habitat, even to the point of those constructs becoming that very habitat• How and why these fabricated habitats affect, and feed back into, human mental life.The aim of the CT research programme is to determine, in general, which technologies, and in particular, which interactive computer-based technologies, are humane with respect to the cognitive development and evolutionary adaptation of their end users. But what does it really mean to be humane in a technological world? To shed light on this central issue other pertinent questions are raised, e.g.• Why are human minds externalised, i.e., what purpose does the process of externalisation serve?• What can we learn about the human mind by studying how it externalises itself? • How does the use of externalised mental constructs (the objects we call 'tools') change people fundamentally?• To what extent does human interaction with technology serve as an amplification of human cognition, and to what extent does it lead to a atrophy of the human mind?The book calls for a reflection on what a tool is. Strong parallels between CT and environmentalism are drawn: both are seen as trends having originated in our need to understand how we manipulate, by means of the tools we have created, our natural habitat consisting of, on the one hand, the cognitive environment which generates thought and determines action, and on the other hand, the physical environment in which thought and action are realised. Both trends endeavour to protect the human habitat from the unwanted or uncontrolled impact of technology, and are ultimately concerned with the ethics and aesthetics of tool design and tool use.Among the topics selected by the contributors to the book, the following themes emerge (the list is not exhaustive): using technology to empower the cognitively impaired; the ethics versus aesthetics of technology; the externalisation of emotive and affective life and its special dialectic ('mirror') effects; creativity enhancement: cognitive space, problem tractability; externalisation of sensory life and mental imagery; the engineering and modelling aspects of externalised life; externalised communication channels and inner dialogue; externalised learning protocols; relevance analysis as a theoretical framework for cognitive technology.
This text presents the basic concepts of modern cognitive psychology in a succinct and accessible manner. Empirical results, theoretical developments, and current issues are woven around basic concepts to produce coherent accounts of research areas. Barsalou's primary goal is to equip readers with a conceptual vocabulary that acquaints them with the general approach of cognitive psychology and allows them to follow more technical discussions elsewhere. In meeting this goal, he discusses the traditional work central to modern thinking and reviews current work relevant to cognitive science. Besides focusing on research and theory in cognitive psychology, Barsalou also addresses its fundamental assumptions. Because the cognitive approach to psychology is somewhat subtle, often misunderstood, and sometimes controversial, it is essential for a text on cognitive psychology to address the assumptions that underlie it. Therefore, three of the eleven chapters address the "meta- assumptions" that govern research and theory in cognitive psychology. These meta-chapters provide a deeper understanding of the content areas and a clearer vision of what cognitive psychologists are trying to accomplish. The remaining eight "content" chapters cover the central topics in cognitive psychology. This book will be of value to a variety of audiences. Ideal for researchers in computer science, linguistics, philosophy, anthropology, and neuroscience who wish to acquaint themselves with cognitive psychology, it may also be used as a text for courses in cognitive science and cognitive psychology. Lay readers who wish to learn about the cognitive approach to scientific psychology will also find the volume useful.
This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book’s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.
