WorldCat Identities
Fri Mar 21 17:16:13 2014 UTClccn-n878789960.00Letters to the Editor0.810.86Philosophy, mind, and cognitive inquiry : resources for understanding mental processes /9902974n 878789962236771Rankin, Terrylccn-n81079589Fetzer, James H.1940-edtlccn-n83176426Kulas, Jackedtlccn-n89606827Cole, David John1948-edtlccn-n92077613Colburn, Timothy R.1952-edtviaf-150629838TAFE Frontiers (Organisation)Rankin, Terry L.Artificial intelligenceComputational linguisticsLanguage and languages--PhilosophyCognitive scienceHuman information processingIntellectComputer software--VerificationComputer scienceHumanitiesMathematical optimizationSoftware engineeringScience--PhilosophyEducation--PhilosophyFinance--Study and teachingBanks and banking--Study and teachingAustralia198519881989199019931999612526410P98ocn299410966ocn299420660ocn802825462ocn799231886ocn802800373ocn757713545ocn85662264725910ocn017952130book19880.79Kulas, JackPhilosophy, language, and artificial intelligence : resources for processing natural language+-+08253510062409ocn020057210book19890.86Cole, David JohnPhilosophy, mind, and cognitive inquiry : resources for understanding mental processes+-+12795874251125ocn026403265book19930.73Colburn, Timothy RProgram verification : fundamental issues in computer scienceAmong the most important problems confronting computer science is that of developing a paradigm appropriate to the discipline. Proponents of formal methods - such as John McCarthy, C.A.R. Hoare, and Edgar Dijkstra - have advanced the position that computing is a mathematical activity and that computer science should model itself after mathematics. Opponents of formal methods - by contrast, suggest that programming is the activity which is fundamental to computer science and that there are important differences that distinguish it from mathematics, which therefore cannot provide a suitable paradigm. Disagreement over the place of formal methods in computer science has recently arisen in the form of renewed interest in the nature and capacity of program verification as a method for establishing the reliability of software systems. A paper that appeared in Communications of the ACM entitled, `Program Verification: The Very Idea', by James H. Fetzer triggered an extended debate that has been discussed in several journals and that has endured for several years, engaging the interest of computer scientists (both theoretical and applied) and of other thinkers from a wide range of backgrounds who want to understand computer science as a domain of inquiry. The editors of this collection have brought together many of the most interesting and important studies that contribute to answering questions about the nature and the limits of computer science. These include early papers advocating the mathematical paradigm by McCarthy, Naur, R. Floyd, and Hoare (in Part I), others that elaborate the paradigm by Hoare, Meyer, Naur, and Scherlis and Scott (in Part II), challenges, limits and alternatives explored by C. Floyd, Smith, Blum, and Naur (in Part III), and recent work focusing on formal verification by DeMillo, Lipton, and Perlis, Fetzer, Cohn, and Colburn (in Part IV). It provides essential resources for further study. This volume will appeal to scientists, philosophers, and laypersons who want to understand the theoretical foundations of computer science and be appropriately positioned to evaluate the scope and limits of the discipline+-+101468742511ocn870884225file1985Rankin, Terry LLetters to the EditorLetters to the editor on genetics and applied epistemology, a response to "The Professor's Challenge" and a response to John Malpas; knowledge and power, and update on the Autoling System, a relativistic approach, and a response to Franklin's writings in volume 6 number 101ocn222909014book1999Rankin, Terry LInternational banking & finance, NSW8673D/LG+-+0825351006+-+0825351006Fri Mar 21 15:37:34 EDT 2014batch6344