The Blackwell Guide to the Philosophy of Computing and Information

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.

Notes on Contributors. Preface. Part I: Four Concepts:. 1. B. Jack Copeland, Computation. 2. Alasdair Urquhart, Complexity. 3. Klaus Mainzer, System: An Introduction to Systems Science. 4. Luciano Floridi, Information. Part II: Computers in Society:. 5. Deborah G Johnson, Computer Ethics. 6. Charles Ess, Computer-mediated Communication and Human–Computer Interaction. 7. Wesley Cooper, Internet Culture. 8. Dominic McIver Lopes, Digital Art. Part III: Mind and AI:. 9. James H.Fetzer, The Philosophy of AI and its Critique. 10. Brian P. McLaughlin, Computationalism, Connectionism and the Philosophy of Mind. Part IV: Real and Virtual Worlds:. 11. Barry Smith, Ontology. 12. Derek Stanovsky, Virtual Reality. 13. Eric Steinhart, The Physics of Information. 14. Roberto Cordeschi, Cybernetics. 15. Mark A. Bedau, Artificial Life. Part V: Language and Knowledge:. 16.Jonathan Cohen, Information and Content. 17. Fred Adams, Knowledge. 18. Graham White, The Philosophy of Computer Languages. 19. Thierry Bardini, Hypertext. Part VI: Logic and Probability:. 20. G. Aldo Antonelli, Logic. 21. Donald Gillies, Probability in Artificial Intelligence. 22. Cristina Bicchieri, Game Theory: Nash Equilibrium. Part VII: Science and Technology:. 23. Paul Thagard, Computing in the Philosophy of Science. 24. Timothy Colburn, Methodology of Computer Science. 25. Carl Mitcham, Philosophy of Information Technology. 26. Patrick Grim, Computational Modeling as a Philosophical Methodology. Index.