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| computer science and philosophy: Philosophy and Computer Science Timothy Colburn, 2015-05-20 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). |
| computer science and philosophy: Thinking Machines and the Philosophy of Computer Science Jordi Vallverdú, 2010-01-01 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. |
| computer science and philosophy: Computational Artifacts Raymond Turner, 2018-07-11 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. |
| computer science and philosophy: Philosophy and Computing Luciano Floridi, 2002-01-04 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. |
| computer science and philosophy: Proof And Computation: Digitization In Mathematics, Computer Science And Philosophy Klaus Mainzer, Peter Michael Schuster, Helmut Schwichtenberg, 2018-05-30 This book is for graduate students and researchers, introducing modern foundational research in mathematics, computer science, and philosophy from an interdisciplinary point of view. Its scope includes Predicative Foundations, Constructive Mathematics and Type Theory, Computation in Higher Types, Extraction of Programs from Proofs, and Algorithmic Aspects in Financial Mathematics. By filling the gap between (under-)graduate level textbooks and advanced research papers, the book gives a scholarly account of recent developments and emerging branches of the aforementioned fields. |
| computer science and philosophy: Current Issues in Computing and Philosophy Adam Briggle, Katinka Waelbers, Philip Brey, 2008 Focuses on the multi-faceted 'computational turn' that is occurring through the interaction of the disciplines of philosophy and computing. This book explores the phenomenon of virtual worlds. It focuses on robots and artificial agents. It discusses the relation between human mentality and information processing in computers. |
| computer science and philosophy: LOGIC: Lecture Notes for Philosophy, Mathematics, and Computer Science Andrea Iacona, 2021-05-10 This textbook is a logic manual which includes an elementary course and an advanced course. It covers more than most introductory logic textbooks, while maintaining a comfortable pace that students can follow. The technical exposition is clear, precise and follows a paced increase in complexity, allowing the reader to get comfortable with previous definitions and procedures before facing more difficult material. The book also presents an interesting overall balance between formal and philosophical discussion, making it suitable for both philosophy and more formal/science oriented students. This textbook is of great use to undergraduate philosophy students, graduate philosophy students, logic teachers, undergraduates and graduates in mathematics, computer science or related fields in which logic is required. |
| computer science and philosophy: Three Views of Logic Donald W. Loveland, Richard Hodel, S. G. Sterrett, 2014-01-26 The first interdisciplinary textbook to introduce students to three critical areas in applied logic Demonstrating the different roles that logic plays in the disciplines of computer science, mathematics, and philosophy, this concise undergraduate textbook covers select topics from three different areas of logic: proof theory, computability theory, and nonclassical logic. The book balances accessibility, breadth, and rigor, and is designed so that its materials will fit into a single semester. Its distinctive presentation of traditional logic material will enhance readers' capabilities and mathematical maturity. The proof theory portion presents classical propositional logic and first-order logic using a computer-oriented (resolution) formal system. Linear resolution and its connection to the programming language Prolog are also treated. The computability component offers a machine model and mathematical model for computation, proves the equivalence of the two approaches, and includes famous decision problems unsolvable by an algorithm. The section on nonclassical logic discusses the shortcomings of classical logic in its treatment of implication and an alternate approach that improves upon it: Anderson and Belnap's relevance logic. Applications are included in each section. The material on a four-valued semantics for relevance logic is presented in textbook form for the first time. Aimed at upper-level undergraduates of moderate analytical background, Three Views of Logic will be useful in a variety of classroom settings. Gives an exceptionally broad view of logic Treats traditional logic in a modern format Presents relevance logic with applications Provides an ideal text for a variety of one-semester upper-level undergraduate courses |
| computer science and philosophy: The Computer Revolution in Philosophy Aaron Sloman, 1978 |
| computer science and philosophy: Computational Philosophy of Science Paul Thagard, 1988 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. |
| computer science and philosophy: Mechanizing Proof Donald MacKenzie, 2004-01-30 Most aspects of our private and social lives—our safety, the integrity of the financial system, the functioning of utilities and other services, and national security—now depend on computing. But how can we know that this computing is trustworthy? In Mechanizing Proof, Donald MacKenzie addresses this key issue by investigating the interrelations of computing, risk, and mathematical proof over the last half century from the perspectives of history and sociology. His discussion draws on the technical literature of computer science and artificial intelligence and on extensive interviews with participants. MacKenzie argues that our culture now contains two ideals of proof: proof as traditionally conducted by human mathematicians, and formal, mechanized proof. He describes the systems constructed by those committed to the latter ideal and the many questions those systems raise about the nature of proof. He looks at the primary social influence on the development of automated proof—the need to predict the behavior of the computer systems upon which human life and security depend—and explores the involvement of powerful organizations such as the National Security Agency. He concludes that in mechanizing proof, and in pursuing dependable computer systems, we do not obviate the need for trust in our collective human judgment. |
| computer science and philosophy: Concepts of Proof in Mathematics, Philosophy, and Computer Science Dieter Probst, Peter Schuster, 2016-07-25 A proof is a successful demonstration that a conclusion necessarily follows by logical reasoning from axioms which are considered evident for the given context and agreed upon by the community. It is this concept that sets mathematics apart from other disciplines and distinguishes it as the prototype of a deductive science. Proofs thus are utterly relevant for research, teaching and communication in mathematics and of particular interest for the philosophy of mathematics. In computer science, moreover, proofs have proved to be a rich source for already certified algorithms. This book provides the reader with a collection of articles covering relevant current research topics circled around the concept 'proof'. It tries to give due consideration to the depth and breadth of the subject by discussing its philosophical and methodological aspects, addressing foundational issues induced by Hilbert's Programme and the benefits of the arising formal notions of proof, without neglecting reasoning in natural language proofs and applications in computer science such as program extraction. |
| computer science and philosophy: Philosophy, Computing and Information Science Ruth Hagengruber, Uwe Riss, 2015-10-06 Over the last four decades computers and the internet have become an intrinsic part of all our lives, but this speed of development has left related philosophical enquiry behind. Featuring the work of computer scientists and philosophers, these essays provide an overview of an exciting new area of philosophy that is still taking shape. |
| computer science and philosophy: Computability B. Jack Copeland, Carl J. Posy, Oron Shagrir, 2013-06-07 Computer scientists, mathematicians, and philosophers discuss the conceptual foundations of the notion of computability as well as recent theoretical developments. In the 1930s a series of seminal works published by Alan Turing, Kurt Gödel, Alonzo Church, and others established the theoretical basis for computability. This work, advancing precise characterizations of effective, algorithmic computability, was the culmination of intensive investigations into the foundations of mathematics. In the decades since, the theory of computability has moved to the center of discussions in philosophy, computer science, and cognitive science. In this volume, distinguished computer scientists, mathematicians, logicians, and philosophers consider the conceptual foundations of computability in light of our modern understanding.Some chapters focus on the pioneering work by Turing, Gödel, and Church, including the Church-Turing thesis and Gödel's response to Church's and Turing's proposals. Other chapters cover more recent technical developments, including computability over the reals, Gödel's influence on mathematical logic and on recursion theory and the impact of work by Turing and Emil Post on our theoretical understanding of online and interactive computing; and others relate computability and complexity to issues in the philosophy of mind, the philosophy of science, and the philosophy of mathematics.ContributorsScott Aaronson, Dorit Aharonov, B. Jack Copeland, Martin Davis, Solomon Feferman, Saul Kripke, Carl J. Posy, Hilary Putnam, Oron Shagrir, Stewart Shapiro, Wilfried Sieg, Robert I. Soare, Umesh V. Vazirani |
| computer science and philosophy: The Blackwell Guide to the Philosophy of Computing and Information Luciano Floridi, 2008-04-15 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. |
| computer science and philosophy: Philosophy of Computer Science William J. Rapaport, 2023-03-21 A unique resource exploring the nature of computers and computing, and their relationships to the world. Philosophy of Computer Science is a university-level textbook designed to guide readers through an array of topics at the intersection of philosophy and computer science. Accessible to students from either discipline, or complete beginners to both, the text brings readers up to speed on a conversation about these issues, so that they can read the literature for themselves, form their own reasoned opinions, and become part of the conversation by contributing their own views. Written by a highly qualified author in the field, the book looks at some of the central questions in the philosophy of computer science, including: What is philosophy? (for readers who might be unfamiliar with it) What is computer science and its relationship to science and to engineering? What are computers, computing, algorithms, and programs?(Includes a line-by-line reading of portions of Turing’s classic 1936 paper that introduced Turing Machines, as well as discussion of the Church-Turing Computability Thesis and hypercomputation challenges to it) How do computers and computation relate to the physical world? What is artificial intelligence, and should we build AIs? Should we trust decisions made by computers? A companion website contains annotated suggestions for further reading and an instructor’s manual. Philosophy of Computer Science is a must-have for philosophy students, computer scientists, and general readers who want to think philosophically about computer science. |
| computer science and philosophy: The Universal Computer Martin Davis, 2018-10-08 The breathtakingly rapid pace of change in computing makes it easy to overlook the pioneers who began it all. Written by Martin Davis, respected logician and researcher in the theory of computation, The Universal Computer: The Road from Leibniz to Turing explores the fascinating lives, ideas, and discoveries of seven remarkable mathematicians. It tells the stories of the unsung heroes of the computer age – the logicians. The story begins with Leibniz in the 17th century and then focuses on Boole, Frege, Cantor, Hilbert, and Gödel, before turning to Turing. Turing’s analysis of algorithmic processes led to a single, all-purpose machine that could be programmed to carry out such processes—the computer. Davis describes how this incredible group, with lives as extraordinary as their accomplishments, grappled with logical reasoning and its mechanization. By investigating their achievements and failures, he shows how these pioneers paved the way for modern computing. Bringing the material up to date, in this revised edition Davis discusses the success of the IBM Watson on Jeopardy, reorganizes the information on incompleteness, and adds information on Konrad Zuse. A distinguished prize-winning logician, Martin Davis has had a career of more than six decades devoted to the important interface between logic and computer science. His expertise, combined with his genuine love of the subject and excellent storytelling, make him the perfect person to tell this story. |
| computer science and philosophy: Minds and Computers Matt Carter, 2007-02-14 Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by 'mind' anyway?The notion of the 'intelligent' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues 'Artificial Intelligence', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence.Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to de |
| computer science and philosophy: Logics for Computer Science Anita Wasilewska, 2018-11-03 Providing an in-depth introduction to fundamental classical and non-classical logics, this textbook offers a comprehensive survey of logics for computer scientists. Logics for Computer Science contains intuitive introductory chapters explaining the need for logical investigations, motivations for different types of logics and some of their history. They are followed by strict formal approach chapters. All chapters contain many detailed examples explaining each of the introduced notions and definitions, well chosen sets of exercises with carefully written solutions, and sets of homework. While many logic books are available, they were written by logicians for logicians, not for computer scientists. They usually choose one particular way of presenting the material and use a specialized language. Logics for Computer Science discusses Gentzen as well as Hilbert formalizations, first order theories, the Hilbert Program, Godel's first and second incompleteness theorems and their proofs. It also introduces and discusses some many valued logics, modal logics and introduces algebraic models for classical, intuitionistic, and modal S4 and S5 logics. The theory of computation is based on concepts defined by logicians and mathematicians. Logic plays a fundamental role in computer science, and this book explains the basic theorems, as well as different techniques of proving them in classical and some non-classical logics. Important applications derived from concepts of logic for computer technology include Artificial Intelligence and Software Engineering. In addition to Computer Science, this book may also find an audience in mathematics and philosophy courses, and some of the chapters are also useful for a course in Artificial Intelligence. |
| computer science and philosophy: Computer Science Subrata Dasgupta, 2016 While the development of Information Technology has been obvious to all, the underpinning computer science has been less apparent. Subrata Dasgupta provides a thought-provoking introduction to the field and its core principles, considering computer science as a science of symbol processing. |
| computer science and philosophy: Calculated Surprises Johannes Lenhard, 2019-02-18 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. |
| computer science and philosophy: Artificial Intelligence and Cognitive Sciences Jacques Demongeot, 1988 |
| computer science and philosophy: A Philosophy of Software Design John K. Ousterhout, 2021 This book addresses the topic of software design: how to decompose complex software systems into modules (such as classes and methods) that can be implemented relatively independently. The book first introduces the fundamental problem in software design, which is managing complexity. It then discusses philosophical issues about how to approach the software design process and it presents a collection of design principles to apply during software design. The book also introduces a set of red flags that identify design problems. You can apply the ideas in this book to minimize the complexity of large software systems, so that you can write software more quickly and cheaply.--Amazon. |
| computer science and philosophy: Science in the Age of Computer Simulation Eric Winsberg, 2010-10-30 Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Scrutinizing these issues with a philosophical lens, Eric Winsberg explores the impact of simulation on such issues as the nature of scientific evidence, the role of values in science, the nature and role of fictions in science, and the relationship between simulation and experiment, theories and data, and theories at different levels of description--Cover. |
| computer science and philosophy: Program Verification Timothy T.R. Colburn, J.H. Fetzer, R.L. Rankin, 2012-12-06 Among 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. |
| computer science and philosophy: Philosophy of Information , 2008-11-10 Information is a recognized fundamental notion across the sciences and humanities, which is crucial to understanding physical computation, communication, and human cognition. The Philosophy of Information brings together the most important perspectives on information. It includes major technical approaches, while also setting out the historical backgrounds of information as well as its contemporary role in many academic fields. Also, special unifying topics are high-lighted that play across many fields, while we also aim at identifying relevant themes for philosophical reflection. There is no established area yet of Philosophy of Information, and this Handbook can help shape one, making sure it is well grounded in scientific expertise. As a side benefit, a book like this can facilitate contacts and collaboration among diverse academic milieus sharing a common interest in information.• First overview of the formal and technical issues involved in the philosophy of information• Integrated presentation of major mathematical approaches to information, form computer science, information theory, and logic• Interdisciplinary themes across the traditional boundaries of natural sciences, social sciences, and humanities. |
| computer science and philosophy: The Curry-Howard Isomorphism Philippe De Groote, Ph De Groote, 1995 |
| computer science and philosophy: The Internet and Philosophy of Science Wenceslao J Gonzalez, 2022-10-18 From the perspective of the philosophy of science, this book analyzes the Internet conceived in a broad sense. It includes three layers that require philosophical attention: (1) the technological infrastructure, (2) the Web, and (3) cloud computing, along with apps and mobile Internet. The study focuses on the network of networks from the viewpoint of complexity, both structural and dynamic. In addition to the scientific side, this volume considers the technological facet and the social dimension of the Internet as a novel design. There is a clear contribution of the Internet to science: first, the very development of the network of networks requires the creation of new science; second, the Internet empowers scientific disciplines, such as communication sciences; and third, the Internet has fostered a whole new emergent field of data and information. After the opening chapter, which offers a series of keys to the book, there are nine chapters, grouped into four parts: (I) Configuration of the Internet and Its Future, (II) Structural and Dynamic Complexity in the Design of the Internet, (III) Internal and External Contributions of the Internet, and (IV) The Internet and the Sciences. Following this framework, The Internet and Philosophy of Science will be of interest to scholars and advanced students working in philosophy of science, philosophy of technology as well as science and technology studies. |
| computer science and philosophy: Philosophy of Technology and Engineering Sciences , 2009-11-27 The Handbook Philosophy of Technology and Engineering Sciences addresses numerous issues in the emerging field of the philosophy of those sciences that are involved in the technological process of designing, developing and making of new technical artifacts and systems. These issues include the nature of design, of technological knowledge, and of technical artifacts, as well as the toolbox of engineers. Most of these have thus far not been analyzed in general philosophy of science, which has traditionally but inadequately regarded technology as mere applied science and focused on physics, biology, mathematics and the social sciences. - First comprehensive philosophical handbook on technology and the engineering sciences - Unparalleled in scope including explorative articles - In depth discussion of technical artifacts and their ontology - Provides extensive analysis of the nature of engineering design - Focuses in detail on the role of models in technology |
| computer science and philosophy: Information Flow Jon Barwise, Jerry Seligman, 1997-07-28 Information is a central topic in computer science, cognitive science and philosophy. In spite of its importance in the 'information age', there is no consensus on what information is, what makes it possible, and what it means for one medium to carry information about another. Drawing on ideas from mathematics, computer science and philosophy, this book addresses the definition and place of information in society. The authors, observing that information flow is possible only within a connected distribution system, provide a mathematically rigorous, philosophically sound foundation for a science of information. They illustrate their theory by applying it to a wide range of phenomena, from file transfer to DNA, from quantum mechanics to speech act theory. |
| computer science and philosophy: Philosophy and Climate Science Eric Winsberg, 2018-04-12 A comprehensive and accessible introduction, as well as an original contribution, to the main philosophical issues raised by climate science. |
| computer science and philosophy: The Computer Boys Take Over Nathan L. Ensmenger, 2012-08-24 The contentious history of the computer programmers who developed the software that made the computer revolution possible. This is a book about the computer revolution of the mid-twentieth century and the people who made it possible. Unlike most histories of computing, it is not a book about machines, inventors, or entrepreneurs. Instead, it tells the story of the vast but largely anonymous legions of computer specialists—programmers, systems analysts, and other software developers—who transformed the electronic computer from a scientific curiosity into the defining technology of the modern era. As the systems that they built became increasingly powerful and ubiquitous, these specialists became the focus of a series of critiques of the social and organizational impact of electronic computing. To many of their contemporaries, it seemed the “computer boys” were taking over, not just in the corporate setting, but also in government, politics, and society in general. In The Computer Boys Take Over, Nathan Ensmenger traces the rise to power of the computer expert in modern American society. His rich and nuanced portrayal of the men and women (a surprising number of the “computer boys” were, in fact, female) who built their careers around the novel technology of electronic computing explores issues of power, identity, and expertise that have only become more significant in our increasingly computerized society. In his recasting of the drama of the computer revolution through the eyes of its principle revolutionaries, Ensmenger reminds us that the computerization of modern society was not an inevitable process driven by impersonal technological or economic imperatives, but was rather a creative, contentious, and above all, fundamentally human development. |
| computer science and philosophy: The Essential Turing B. J. Copeland, 2004-09-09 The ideas that gave birth to the computer age Alan Turing, pioneer of computing and WWII codebreaker, was one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight. |
| computer science and philosophy: Logic, Methodology and Philosophy of Science IX Dag Prawitz, Brian Skyrms, Dag Westerståhl, 1994 This volume is the product of the Proceedings of the 9th International Congress of Logic, Methodology and Philosophy of Science and contains the text of most of the invited lectures. Divided into 15 sections, the book covers a wide range of different issues. The reader is given the opportunity to learn about the latest thinking in relevant areas other than those in which they themselves may normally specialise. |
| computer science and philosophy: Emergence Mark Bedau, Paul Humphreys, 2008 Readings on the idea of emergence in evolution and classical works on emergence found in contemporary philosophy and science. Australian contributor. |
| computer science and philosophy: Theory and Applications of Ontology: Computer Applications Roberto Poli, Michael Healy, Achilles Kameas, 2010-09-17 Ontology was once understood to be the philosophical inquiry into the structure of reality: the analysis and categorization of ‘what there is’. Recently, however, a field called ‘ontology’ has become part of the rapidly growing research industry in information technology. The two fields have more in common than just their name. Theory and Applications of Ontology is a two-volume anthology that aims to further an informed discussion about the relationship between ontology in philosophy and ontology in information technology. It fills an important lacuna in cutting-edge research on ontology in both fields, supplying stage-setting overview articles on history and method, presenting directions of current research in either field, and highlighting areas of productive interdisciplinary contact. Theory and Applications of Ontology: Computer Applications presents ontology in ways that philosophers are not likely to find elsewhere. The volume offers an overview of current research in ontology, distinguishing basic conceptual issues, domain applications, general frameworks, and mathematical formalisms. It introduces the reader to current research on frameworks and applications in information technology in ways that are sure to invite reflection and constructive responses from ontologists in philosophy. |
| computer science and philosophy: Chance in Physics, Computer Science and Philosophy Walter Hehl, 2021-11-17 Chance is uncanny to us. We thought it didn't exist, that God or a reasonable explanation was behind everything. But we know today: It exists. We know that much of what surrounds us and which we do not see through, nevertheless runs causally. Unlike what was thought in the days of the Enlightenment, chance is the rule around us rather than lawful order. The clouds are stochastic fractals, the waves on the sea are pure random machinery. The philosopher Charles Peirce recognized the fundamental importance of chance in precisely this sense, even before quantum and chaos theory, and gave the doctrine its name: Tychism. Without chance there would be nothing new, no life, no creativity, no history. This book looks at chance from the perspective of physics, computer science, and philosophy. It spans from antiquity to quantum physics and shows that chance is firmly built into the world and that it would not exist without chance. This book is a translation of the original German 1st edition Der Zufall in Physik, Informatik und Philosophie by Walter Hehl, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. |
| computer science and philosophy: Visiting Senior Scientist , 1990 |
| computer science and philosophy: Philosophy of Computing and Information Luciano Floridi, 2008 Computing and information, and their philosophy in the broad sense, play a most important scientific, technological and conceptual role in our world. This book collects together, for the first time, the views and experiences of some of the visionary pioneers and most influential thinkers in such a fundamental area of our intellectual development. This is yet another gem in the 5 Questions Series by Automatic Press / VIP |
| computer science and philosophy: Mathematical Logic and Computation Jeremy Avigad, 2022-09-30 A thorough introduction to the fundamental methods and results in mathematical logic, and its foundational role in computer science. |
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Computer Science - Doctor of Philosophy
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Andrea˜Iacona LOGIC: Lecture Notes for˜Philosophy
Philosophy, Mathematics, and Computer Science. Andrea Iacona Center for Logic, Language and Cognition University of Turin, Department of Philosophy and Education Torino, Italy ISSN 2569 …
Computer Science + Philosophy, BSLAS - University of …
Computer Science + Philosophy, BSLAS Sample Sequence For the degree of Bachelor of Sciences in Liberal Arts & Sciences Major in Computer Science+Philosophy This sample sequence is …
What is Cognitive Science? - Rensselaer Polytechnic Institute
The Fields of Cognitive Science: Philosophy • Philosophers have thought about the nature of mind for thousands of years. • Philosophy, like science, tries to understand things. In fact, it was in the …
Field of Computer Science Ph.D. Student Handbook
computer science program is distinguished by the excellence of the faculty, by a long tradition of pioneering research, and by the breadth of its Ph.D. program. ... Philosophy, and Finance. The …
Embedded EthiCS: Integrating Ethics Broadly Across …
Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education Barbara J. Grosz1, David Gray Grant2, Kate Vredenburgh2, Jeff Behrends2, Lily Hu3, Alison Simmons2, and …
Introduction to Accelerator Simulation with elegant and SDDS
Computer Science Philosophy Internal to program Highly-structured C Adding new elements is only as hard as the physics Implement many features as beamline elements to simplify program …
Requirements for the Doctor of Philosophy (PhD) Degree in …
2.1 A strong background in computer science is normally required for admission. Evidence of this back-ground should include either a Bachelor’s degree in computer science or a Master’s …
Philosophy of Computer Science: An Introductory Course
the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments. During the Spring 2004 semester, I created and taught a …
CS182: Ethics, Public Policy, and Technological Change
Valley. By integrating perspectives from computer science, philosophy, law, and social science, the course will provide learning experiences that robustly and holistically examine the impact of …
Cognitive Science - University of Chicago
The undergraduate major in Cognitive Science at the University of Chicago is designed to embody this interdisciplinary approach to the study of the mind and brain. Students gain broad …
content.e-bookshelf.de
Philosophy of Computer Science An Introduction to the Issues and the Literature William J. Rapaport Department of Computer Science and Engineering Department of Philosophy, …
APA Newsletter on Teaching Philosophy, Vol. 20, no. 2 …
Teaching Philosophy . titled “Philosophy Through Computer Science” (2019) and “Philosophy Through Machine Learning” (2020). In those papers he explored ways that specifc topics in …
SConU: Selective Conformal Uncertainty in Large Language …
♥University of Electronic Science and Technology of China ... computer science philosophy engineering business law psychology biology chemistry history other health economics math …
UNDERGRADUATE COURSE HANDBOOK PART C Computer …
1.3 Computer Science and Philosophy The Department of Computer Science offers the following joint degrees with the Faculty of Philosophy: BA – Computer Science and Philosophy, 3-year …
Philosophy of Computer Science: An Introductory Course
an introduction to issues in computer science for philosophy students, a capstone course for senior undergraduate computer science students, or perhaps an overview course for beginning …
UNDERGRADUATE ADMISSIONS AND OUTREACH
Computer Science and Philosophy can be studied for three years (BA) or four years (Master of Computer Science and Philosophy). Students do not need to choose between the three-year or …
Toward Meaningful Transparency and Accountability of AI …
academic disciplines such as computer science, philosophy, engineering, and science fiction. Today, AI is widely understood to be approaching the long-term goal of replicating human-like …
Computer aspect of interdisciplinary research in philosophy …
original characteristics of the term "philosophy of computer science" we see in the work of Timothy R. Colburn "Philosophy and Computer Science (Explorations in Philosophy)" (2000), in which the …
Major CIP Codes
BS-CSPP: Computer Science and Politics, Philosophy, and Economics, BS Comp Sci/Politics, Phil Econ 110101 BS-CSSL: Computer Science and Speech-Language Pathology and Audiology, BS …
Aaron Sloman, The Computer Revolution in Philosophy: …
But Sloman perceives the role of the computer as far more than a "concept bookkeeper." He argues that certain key concepts of computer science, such as 'memory addressing', 'list formation', …
CS 1501 | Artificial General Intelligence | Spring 2020 | Syllabus
of computer science, philosophy, and cognitive science, as well as learn fundamental concepts of mind and superintelligence. The classes will mainly consist of looking at current research in the …
Teaching Philosophy Statements - ed
Teaching Philosophy Statements Dr. Qais Faryadi Faculty of Science and Technology Department of Computer Sciences Universiti Sains Islam Malaysia USIM Abstract: This article examines the …
THE CONTRIBUTIONS OF GRACE MURRAY HOPPER …
science and computer science education, including her philosophy of teaching and learning, and her pedagogical legacy for today's teachers and scholars of computer science and computer science …
What has AI in Common with Philosophy? - Computer …
Some approaches to philosophy are helpful and others are not. 1 Introduction Arti cial intelligence and philosophy have more in common than a science usu-ally has with the philosophy of that …
Computer Science/Mathematics Curriculum Pepperdine …
Philosophy of the curriculum The curriculum is based on three themes—abstraction, integration, and languages and paradigms. ... The computer science part of the contract major is satisfied …
Computer Science COMPUTER Maths & Computer Science …
Computer Science from the start. You can choose to focus on CS alone. Or you could undertake a joint degree with either Mathematics or Philosophy. Cutting-edge science in a historic setting. …
Propositional and Predicate Logic: A Primer
indispensable in fields as diverse as mathematics, computer science, philosophy, and beyond. Propositional Logic, the simpler of the two, operates on propositions — statements that can be …
2024 Commencement – Hood Colors - National University
2024 Commencement – Hood Colors MASTER’S AND DOCTORAL HOOD COLORS ARE LISTED ON THE RIGHT SCHOOL OF ARTS, LETTERS, AND SCIENCES (SOALS) Associate of Arts
Teaching Philosophy: Computer Science is part of Everyday …
subjects. Teaching computer science has been a continuous influence on my life and has critically shaped me as a person. If I had to summarize my past decade in a teaching philosophy of …
Kurt Godel and the Foundations of Mathematics¨
Computer Sciences at the University of California, Berkeley, where he has taught since 1996 and where he is a former Miller Fellow. Hilary W. Putnam is Cogan University Professor Emeritus in …
Responsible Innovation and Artificial Intelligence: A …
interdisciplinary, drawing from computer science, philosophy, law, social science, and STS (science and technology studies). Academically, the field has moved from high-level principles to …
COGNITIVE SCIENCE College of Science, Engineering and …
practical foci of Biology, Computer Science, Philosophy and Psychology into a single course of study. Each Cognitive Science major will concentrate in one of the four participating disciplines: …
The Symbolic Systems Program at Stanford University
tems for Ph.D. students in philosophy. This poster fo-cuses on the undergraduate program. Approximately33undergraduates( gurefromautumn 1993) are enrolled in the symbolic systems …
ARTIFICIAL INTELLIGENCE [R20A0513] LECTURE NOTES
AI is unique, sharing borders with Mathematics, Computer Science, Philosophy, Psychology, Biology, Cognitive Science and many others. Although there is no clear definition of AI or even …
Doctor of Philosophy in Computer Science Overview of Degree
The Doctor of Philosophy (Ph.D.) in Computer Science at The University of Georgia is an advanced, intensive program offered by the Computer Science Department and designed to take students …
Philosophy of AI - PhilArchive
Philosophy of AI: A Structured Overview . 41 On the other hand, the term “AI” is often used in computer science in a sense that I would like to call . Technical AI: b) AI is a set of computer …
NAME PROGRAM CURRENT POSITION - Stony Brook University
Biochemistry and Structural Biology Computer Science Executive Director, Parents for Megan’s Law Postdoc, Beth Israel DeconNESS Medical Center Aladegbami, Bola (M.D. 2012) ... Political …
Kleene's Three Valued Logics and Their Children
Dept. Mathematics and Computer Science Lehman College (CUNY), Bronx, NY 10468 Depts. Computer Science, Philosophy, Mathematics Graduate Center (CUNY), 33 West 42nd Street, …
Term Information General Information Offering Information
Mar 23, 2002 · 2338 Ohio_State_Course_Review_Concurrence_Form.pdf: Computer Science Concurrence (Concurrence. Owner: Shuster,Amy Lynne) • 2338 Computing Ethics for a Just and …
Quest 1 IDS 2935 Conflict of Ideas: How To Fight Fair Spring …
psychology, linguistics, computer science, philosophy, biology, and theology (see schedule for . 3 details). Assignments include short argumentative essays, reports on observed conflicts, and ...
