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Philosophy and Computing explores each of the following areas of technology: the digital revolution; the computer; the Internet and the Web; CD-ROMs and Mulitmedia; databases, textbases, and hypertexts; Artificial Intelligence; the future of computing. Luciano Floridi shows us how the relationship between philosophy and computing provokes a wide range of philosophical questions: is there a philosophy of information? What can be achieved by a classic computer? How can we define complexity? What are the limits of quantam computers? Is the Internet an intellectual space or a polluted environment? What is the paradox in the Strong Artificial Intlligence program? Philosophy and Computing is essential reading for anyone wishing to fully understand both the development and history of information and communication technology as well as the philosophical issues it ultimately raises.
This Guide provides an ambitious state-of-the-art survey of the fundamental themes, problems, arguments and theories constituting the philosophy of computing. A complete guide to the philosophy of computing and information. Comprises 26 newly-written chapters by leading international experts. Provides a complete, critical introduction to the field. Each chapter combines careful scholarship with an engaging writing style. Includes an exhaustive glossary of technical terms. Ideal as a course text, but also of interest to researchers and general readers.
"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.
The philosophy of computer science is concerned with issues that arise from reflection upon the nature and practice of the discipline of computer science. This book presents an approach to the subject that is centered upon the notion of computational artefact. It provides an analysis of the things of computer science as technical artefacts. Seeing them in this way enables the application of the analytical tools and concepts from the philosophy of technology to the technical artefacts of computer science. With this conceptual framework the author examines some of the central philosophical concerns of computer science including the foundations of semantics, the logical role of specification, the nature of correctness, computational ontology and abstraction, formal methods, computational epistemology and explanation, the methodology of computer science, and the nature of computation. The book will be of value to philosophers and computer scientists.
In A Philosophy of Computer Art Dominic Lopes argues that computer art challenges some of the basic tenets of traditional ways of thinking about and making art and that to understand computer art we need to place particular emphasis on terms such as ‘interactivity’ and ‘user’.
Computer games have become a major cultural and economic force, and a subject of extensive academic interest. Up until now, however, computer games have received relatively little attention from philosophy. Seeking to remedy this, the present collection of newly written papers by philosophers and media researchers addresses a range of philosophical questions related to three issues of crucial importance for understanding the phenomenon of computer games: the nature of gameplay and player experience, the moral evaluability of player and avatar actions, and the reality status of the gaming environment. By doing so, the book aims to establish the philosophy of computer games as an important strand of computer games research, and as a separate field of philosophical inquiry. The book is required reading for anyone with an academic or professional interest in computer games, and will also be of value to readers curious about the philosophical issues raised by contemporary digital culture.
Colburn (computer science, U. of Minnesota-Duluth) has a doctorate in philosophy and an advanced degree in computer science; he's worked as a philosophy professor, a computer programmer, and a research scientist in artificial intelligence. Here he discusses the philosophical foundations of artificial intelligence; the new encounter of science and philosophy (logic, models of the mind and of reasoning, epistemology); and the philosophy of computer science (touching on math, abstraction, software, and ontology).
Law, Human Agency and Autonomic Computing interrogates the legal implications of the notion and experience of human agency implied by the emerging paradigm of autonomic computing, and the socio-technical infrastructures it supports. The development of autonomic computing and ambient intelligence – self-governing systems – challenge traditional philosophical conceptions of human self-constitution and agency, with significant consequences for the theory and practice of constitutional self-government. Ideas of identity, subjectivity, agency, personhood, intentionality, and embodiment are all central to the functioning of modern legal systems. But once artificial entities become more autonomic, and less dependent on deliberate human intervention, criteria like agency, intentionality and self-determination, become too fragile to serve as defining criteria for human subjectivity, personality or identity, and for characterizing the processes through which individual citizens become moral and legal subjects. Are autonomic – yet artificial – systems shrinking the distance between (acting) subjects and (acted upon) objects? How ‘distinctively human’ will agency be in a world of autonomic computing? Or, alternatively, does autonomic computing merely disclose that we were never, in this sense, ‘human’ anyway? A dialogue between philosophers of technology and philosophers of law, this book addresses these questions, as it takes up the unprecedented opportunity that autonomic computing and ambient intelligence offer for a reassessment of the most basic concepts of law.
If all philosophy starts with wondering, then Calculated Surprises starts with wondering about how computers are changing the face and inner workings of science. In this book, Lenhard concentrates on the ways in which computers and simulation are transforming the established conception of mathematical modeling. His core thesis is that simulation modeling constitutes a new mode of mathematical modeling that rearranges and inverts key features of the established conception. Although most of these new key features--such as experimentation, exploration, or epistemic opacity--have their precursors, the new ways in which they are being combined is generating a distinctive style of scientific reasoning. Lenhard also documents how simulation is affecting fundamental concepts of solution, understanding, and validation. He feeds these transformations back into philosophy of science, thereby opening up new perspectives on longstanding oppositions. By combining historical investigations with practical aspects, Calculated Surprises is accessible for a broad audience of readers. Numerous case studies covering a wide range of simulation techniques are balanced with broad reflections on science and technology. Initially, what computers are good at is calculating with a speed and accuracy far beyond human capabilities. Lenhard goes further and investigates the emerging characteristics of computer-based modeling, showing how this simple observation is creating a number of surprising challenges for the methodology and epistemology of science. These calculated surprises will attract both philosophers and scientific practitioners who are interested in reflecting on recent developments in science and technology.
By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics as the nature of concepts, hypothesis formation, analogy, and theory justification.