Download or read book Induction Algorithmic Learning Theory and Philosophy written by Michèle Friend and published by Springer Science & Business Media. This book was released on 2007-08-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.

Download or read book Algorithmic Learning Theory written by Setsuo Arikawa and published by Springer Science & Business Media. This book was released on 1994-09-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.

Download or read book Pluralism in Mathematics A New Position in Philosophy of Mathematics written by Michèle Friend and published by Springer Science & Business Media. This book was released on 2013-11-20 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about philosophy, mathematics and logic, giving a philosophical account of Pluralism which is a family of positions in the philosophy of mathematics. There are four parts to this book, beginning with a look at motivations for Pluralism by way of Realism, Maddy’s Naturalism, Shapiro’s Structuralism and Formalism. In the second part of this book the author covers: the philosophical presentation of Pluralism; using a formal theory of logic metaphorically; rigour and proof for the Pluralist; and mathematical fixtures. In the third part the author goes on to focus on the transcendental presentation of Pluralism, and in part four looks at applications of Pluralism, such as a Pluralist approach to proof in mathematics and how Pluralism works in regard to together-inconsistent philosophies of mathematics. The book finishes with suggestions for further Pluralist enquiry. In this work the author takes a deeply radical approach in developing a new position that will either convert readers, or act as a strong warning to treat the word ‘pluralism’ with care.

Download or read book Reliable Reasoning written by Gilbert Harman and published by MIT Press. This book was released on 2012-01-13 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Download or read book Philosophy of Computing written by Björn Lundgren and published by Springer Nature. This book was released on 2022-05-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a unique selection of works presented at the 2019 annual international conference of the International Association for Computing and Philosophy (IACAP). Every contribution has been peer-reviewed, revised, and extended. The included chapters are thematically diverse; topics include epistemology, dynamic epistemic logic, topology, philosophy of science and computation, game theory and abductive inferences, automated reasoning and mathematical proofs, computer simulations, scientific modelling, applied ethics, pedagogy, human-robot interactions, and big data, algorithms, and artificial intelligence. The volume is a testament to the value of interdisciplinary approaches to the computational and informational turn. We live in a time of tremendous development, which requires rigorous reflection on the philosophical nature of these technologies and how they are changing the world. How can we understand these technologies? How do these technologies change our understanding of the world? And how do these technologies affect our place as humans in the world? These questions, and more, are addressed in this volume which is of interest to philosophers, engineers, and computer scientists alike.

Download or read book Algorithmic Learning Theory written by Kamalika Chaudhuri and published by Springer. This book was released on 2015-10-04 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.

Download or read book Hume s Problem Solved written by Gerhard Schurz and published by MIT Press. This book was released on 2019-05-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Intelligence and Spirit written by Reza Negarestani and published by MIT Press. This book was released on 2019-02-12 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critique of both classical humanism and dominant trends in posthumanism that formulates the ultimate form of intelligence as a theoretical and practical thought unfettered by the temporal order of things. In Intelligence and Spirit Reza Negarestani formulates the ultimate form of intelligence as a theoretical and practical thought unfettered by the temporal order of things, a real movement capable of overcoming any state of affairs that, from the perspective of the present, may appear to be the complete totality of history. Intelligence pierces through what seems to be the totality or the inevitable outcome of its history, be it the manifest portrait of the human or technocapitalism as the alleged pilot of history. Building on Hegel's account of Geist as a multiagent conception of mind and on Kant's transcendental psychology as a functional analysis of the conditions of possibility of mind, Negarestani provides a critique of both classical humanism and dominant trends in posthumanism. The assumptions of the former are exposed by way of a critique of the transcendental structure of experience as a tissue of subjective or psychological dogmas; the claims of the latter regarding the ubiquity of mind or the inevitable advent of an unconstrained superintelligence are challenged as no more than ideological fixations which do not stand the test of systematic scrutiny. This remarkable fusion of continental philosophy in the form of a renewal of the speculative ambitions of German Idealism and analytic philosophy in the form of extended thought-experiments and a philosophy of artificial languages opens up new perspectives on the meaning of human intelligence and explores the real potential of posthuman intelligence and what it means for us to live in its prehistory.

Download or read book Algorithmic Learning Theory written by Michael M. Richter and published by Springer. This book was released on 2003-06-29 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Download or read book Algorithmic Learning Theory written by Michael M. Richter and published by Springer Science & Business Media. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Download or read book Algorithmic Learning Theory written by Sanjay Jain and published by Springer Science & Business Media. This book was released on 2005-09-26 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005. The 30 revised full papers presented together with 5 invited papers and an introduction by the editors were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on kernel-based learning, bayesian and statistical models, PAC-learning, query-learning, inductive inference, language learning, learning and logic, learning from expert advice, online learning, defensive forecasting, and teaching.

Download or read book Virtue Epistemology Naturalized written by Abrol Fairweather and published by Springer. This book was released on 2014-05-27 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents four bridges connecting work in virtue epistemology and work in philosophy of science (broadly construed) that may serve as catalysts for the further development of naturalized virtue epistemology. These bridges are: empirically informed theories of epistemic virtue; virtue theoretic solutions to under determination; epistemic virtues in the history of science; and the value of understanding. Virtue epistemology has opened many new areas of inquiry in contemporary epistemology including: epistemic agency, the role of motivations and emotions in epistemology, the nature of abilities, skills and competences, wisdom and curiosity. Value driven epistemic inquiry has become quite complex and there is a need for a responsible and rigorous process of constructing naturalized theories of epistemic virtue. This volume makes the involvement of the sciences more explicit and looks at the empirical aspect of virtue epistemology. Concerns about virtue epistemology are considered in the essays contained here, including the question: can any virtue epistemology meet both the normativity constraint and the empirical constraint? The volume suggests that these worries should not be seen as impediments but rather as useful constraints and desiderata to guide the construction of naturalized theories of epistemic virtue.

Download or read book Science Technology and Virtues written by Emanuele Ratti and published by Oxford University Press. This book was released on 2021 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtues have become a valuable and relevant resource for understanding modern science and technology. Scientific practice requires not only following prescribed rules but also cultivating judgment, building mental habits, and developing proper emotional responses. The rich philosophical traditions around virtue can provide key insights into scientific research, including understanding how daily practice shapes scientists themselves and how ethical dilemmas created by modern scientific research and technology should be navigated. Science, Technology, and Virtues gathers both new and eminent scholars to show how concepts of virtue can help us better understand, construct, and use the products of modern science and technology. Contributors draw from examples across philosophy, history, sociology, political science, and engineering to explore how virtue theory can help orient science and technology towards the pursuit of the good life. Split into four major sections, this volume covers virtues in science, technology, epistemology, and research ethics, with individual chapters discussing applications of virtues to scientific practice, the influence of virtue ethics on socially responsible research, and the concept of failing well within the scientific community. Rather than offer easy solutions, the essays in this volume instead illustrate how virtue concepts can provide a productive and illuminating perspective on two phenomena at the core of modern life. Fresh and thought-provoking, Science, Technology, and Virtues presents a pluralistic set of scholarship to show how virtue concepts can enrich our understanding of scientific research, guide the design and use of new technologies, and shape how we envision future scientists, engineers, consumers, and citizens.

Download or read book Algorithmic Learning Theory written by Klaus P. Jantke and published by . This book was released on 2014-09-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Algorithmic Learning Theory written by Hiroki Arimura and published by Springer. This book was released on 2003-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000. The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.

Download or read book Encyclopedia of Philosophy and the Social Sciences written by Byron Kaldis and published by SAGE. This book was released on 2013-04-02 with total page 1195 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This encyclopedia, magnificently edited by Byron Kaldis, will become a valuable source both of reference and inspiration for all those who are interested in the interrelation between philosophy and the many facets of the social sciences. A must read for every student of the humanities."--Wulf Gaertner, University of Osnabrueck, Germany "Byron Kaldis' Encyclopedia of Philosophy and the Social Sciences is a triumph. The entries are consistently good, the coverage is amazing, and he has managed to involve the whole scholarly community in this field. It shows off the field very well, and will be a magnificent resource for students and others." -- Stephen Turner, USF, USA “ Like all good works of reference this Encyclopedia of Philosophy and the Social Sciences is not to be treated passively: it provides clear and sometimes controversial material for constructive confrontation. It is a rich resource for critical engagement. The Encyclopedia conceived and edited by Byron Kaldis is a work of impressive scope and I am delighted to have it on my bookshelf.”-- David Bloor, Edinburgh, UK "This splendid and possibly unique work steers a skilful course between narrower conceptions of philosophy and the social sciences. It will be an invaluable resource for students and researchers in either or both fields, and to anyone working on the interrelations between them." -- William Outhwaite, Newcastle, UK "A work of vast scope and widely gathered expertise, the Encyclopedia of Philosophy and the Social Sciences is a splendid resource for anyone interested in the interface between philosophy and the social sciences." --Nicholas Rescher, Pittsburgh This encyclopedia is the first of its kind in bringing together philosophy and the social sciences. It is not only about the philosophy of the social sciences but, going beyond that, it is also about the relationship between philosophy and the social sciences. The subject of this encyclopedia is purposefully multi- and inter-disciplinary. Knowledge boundaries are both delineated and crossed over. The goal is to convey a clear sense of how philosophy looks at the social sciences and to mark out a detailed picture of how the two are interrelated: interwoven at certain times but also differentiated and contrasted at others. The Entries cover topics of central significance but also those that are both controversial and on the cutting-edge, underlining the unique mark of this Encyclopedia: the interrelationship between philosophy and the social sciences, especially as it is found in fresh ideas and unprecedented hybrid disciplinary areas. The Encyclopedia serves a further dual purpose: it contributes to the renewal of the philosophy of the social sciences and helps to promote novel modes of thinking about some of its classic problems. “The Encyclopedia of Philosophy and the Social Sciences edited by Byron Kaldis, provides a unique, needed, and invaluable resource for researchers at every level. Unique because nothing else offers the breadth of coverage found in this work; needed because it permits researchers to find longer but also relatively brief, clear, but nonetheless expert articles introducing important topics; and invaluable because of the guidance offered to both related topics and further study. It should be the place that any interested person looks first when seeking to learn about philosophy and the social sciences.” Paul Roth, UC Santa Cruz, USA “The Encyclopedia of Philosophy and the Social Sciences edited by Byron Kaldis covers an enormous range of topics in philosophy and the social sciences and the entries are compact overviews of the essential issues” Harold Kincaid, University of Alabama at Birmingham, USA

Download or read book Discovery Science written by João Gama and published by Springer. This book was released on 2009-10-07 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the twelfth International Conference, on Discovery Science, DS 2009, held in Porto, Portugal, in October 2009. The 35 revised full papers presented were carefully selected from 92 papers. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their applications.