哲學
Scientific Explanation and the Causal Structure of the World 豆瓣
作者: Wesley C. Salmon Princeton University Press 1984
The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation - the epistemic, modal, and ontic. He argues that the prevailing view (a version of the epistemic conception) is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust argument for scientific realism akin to the argument that convinced twentieth-century physical scientists of the existence of atoms and molecules. To do justice to such notions as irreducibly statistical laws and statistical explanation, he offers a novel account of physical randomness. The transition from the 'reviewed view' of scientific explanation (that explanations are arguments) to the causal/mechanical model requires fundamental rethinking of basic explanatory concepts.
Counterfactuals 豆瓣
作者: David K. Lewis Wiley-Blackwell 2001 - 1
Counterfactuals is David Lewis's forceful presentation of and sustained argument for a particular view about propositions which express contrary-to-fact conditionals, including his famous defense of realism about possible worlds. Since its original publication in 1973, it has become a classic of contemporary philosophy, and is essential reading for anyone interested in the logic and metaphysics of counterfactuals. The book also includes an appendix of related writings by Lewis.
Thinking about Causes 豆瓣
作者: Machamer, Peter (EDT)/ Wolters, Gereon (EDT) University of Pittsburgh Press 2007 - 5
Emerging as a hot topic in the mid-twentieth century, causality is one of the most frequently discussed issues in contemporary philosophy. Causality has been a central concept in philosophy as well as in the sciences, especially the natural sciences, dating back to its beginning in Greek thought. David Hume famously claimed that causality is the cement of the universe. In general terms, it links eventualities, predicts the consequences of action, and is the cognitive basis for the acquisition and the use of categories and concepts in the child. Indeed, how could one answer why-questions, around which early rational thought begins to revolve, without hitting on the relationships between reason and consequence, cause and effect, or without drawing these distinctions? But a comprehensive definition of causality has been notoriously hard to provide, and virtually every aspect of causation has been subject to much debate and analysis. "Thinking about Causes" brings together top philosophers from the United States and Europe to focus on causality as a major force in philosophical and scientific thought. Topics addressed include: ancient Stoicism and moral philosophy; the case of sacramental causality; traditional causal concepts in Descartes; Kant on transcendental laws; the influence of J. S. Mill's politics on his concept of causation; plurality in causality; causality in modern physics; causality in economics; and the concept of free will. Taken together, the essays in this collection provide the best current thinking about causality, especially as it relates to the philosophy of science.
The Origin of Concepts 豆瓣
作者: Susan Carey Oxford University Press 2011 - 5
Only human beings have a rich conceptual repertoire with concepts like tort, entropy, Abelian group, mannerism, icon and deconstruction. How have humans constructed these concepts? And once they have been constructed by adults, how do children acquire them? While primarily focusing on the second question, in The Origin of Concepts , Susan Carey shows that the answers to both overlap substantially.
Carey begins by characterizing the innate starting point for conceptual development, namely systems of core cognition. Representations of core cognition are the output of dedicated input analyzers, as with perceptual representations, but these core representations differ from perceptual representations in having more abstract contents and richer functional roles. Carey argues that the key to understanding cognitive development lies in recognizing conceptual discontinuities in which new representational systems emerge that have more expressive power than core cognition and are also incommensurate with core cognition and other earlier representational systems. Finally, Carey fleshes out Quinian bootstrapping, a learning mechanism that has been repeatedly sketched in the literature on the history and philosophy of science. She demonstrates that Quinian bootstrapping is a major mechanism in the construction of new representational resources over the course of childrens cognitive development.
Carey shows how developmental cognitive science resolves aspects of long-standing philosophical debates about the existence, nature, content, and format of innate knowledge. She also shows that understanding the processes of conceptual development in children illuminates the historical process by which concepts are constructed, and transforms the way we think about philosophical problems about the nature of concepts and the relations between language and thought.
Intention, Plans, and Practical Reason 豆瓣
作者: Michael E. Bratman Center for the Study of Language and Information 1987 - 3
What happens to our conception of mind and rational agency when we take seriously future-directed intentions and plans and their roles as inputs into further practical reasoning? The author's initial efforts in responding to this question resulted in a series of papers that he wrote during the early 1980s. In this book, Bratman develops further some of the main themes of these essays and also explores a variety of related ideas and issues. He develops a planning theory of intention. Intentions are treated as elements of partial plans of action. These plans play basic roles in practical reasoning, roles that support the organization of our activities over time and socially. Bratman explores the impact of this approach on a wide range of issues, including the relation between intention and intentional action, and the distinction between intended and expected effects of what one intends.
The Body in the Mind 豆瓣
作者: Mark Johnson University Of Chicago Press 1990 - 4
"There are books--few and far between--which carefully, delightfully, and genuinely turn your head inside out. This is one of them. It ranges over some central issues in Western philosophy and begins the long overdue job of giving us a radically new account of meaning, rationality, and objectivity."--Yaakov Garb, San Francisco Chronicle
The Meaning of the Body 豆瓣
作者: Mark Johnson University Of Chicago Press 2008 - 11
In "The Meaning of the Body", Mark Johnson continues his pioneering work on the exciting connections between cognitive science, language, and meaning first begun in the classic "Metaphors We Live By". Johnson uses recent research into infant psychology to show how the body generates meaning even before self-consciousness has fully developed. From there he turns to cognitive neuroscience to further explore the bodily origins of meaning, thought, and language and examines the many dimensions of meaning - including images, qualities, emotions, and metaphors - that are all rooted in the body's physical encounters with the world. Drawing on the psychology of art and pragmatist philosophy, Johnson argues that all of these aspects of meaning-making are fundamentally aesthetic. He concludes that the arts are the culmination of human attempts to find meaning and that studying the aesthetic dimensions of our experience is crucial to unlocking meaning's bodily sources.Throughout, Johnson puts forth a bold new conception of the mind rooted in the understanding that philosophy will matter to nonphilosophers only if it is built on a visceral connection to the world.
Parallel Distributed Processing, Vol. 2 豆瓣
作者: James L. McClelland / David E. Rumelhart The MIT Press 1987 - 7
What makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind. They describe a new theory of cognition called connectionism that is challenging the idea of symbolic computation that has traditionally been at the center of debate in theoretical discussions about the mind. The authors' theory assumes the mind is composed of a great number of elementary units connected in a neural network. Mental processes are interactions between these units which excite and inhibit each other in parallel rather than sequential operations. In this context, knowledge can no longer be thought of as stored in localized structures; instead, it consists of the connections between pairs of units that are distributed throughout the network. Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.
Error in Economics 豆瓣
作者: Julian Reiss Routledge 2007 - 10
What is the correct concept behind measures of inflation? Does money cause business activity or is it the other way around? Shall we stimulate growth by raising aggregate demand or rather by lowering taxes and thereby providing incentives to produce? Policy-relevant questions such as these are of immediate and obvious importance to the welfare of societies. The standard approach in dealing with them is to build a model, based on economic theory, answer the question for the model world and then apply the results to economic phenomena outside. Data come in, if at all, only in testing a limited number of the model's consequences. Despite some critical voices, economic methodology too has by and large subscribed to a "theory first" approach to applied economics. Error in Economics systematically develops an alternative to the theory-based orthodoxy. It places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics. But the book does not stop at the truism that claims should be based on the best available evidence. Rather, detailed studies in the areas of measurement, causal inference and policy analysis show what it means for a claim to be evidence-based in the context of a concrete case. The examples discussed concern topics as diverse as consumer price indices, radio spectrum auctions, the transmission mechanism, natural experiments on minimum wages and the evaluation of counterfactuals for policy. Error in Economics is essential reading for economic methodologists, philosophers of science and anyone interested in how claims about socio-economic matters are validated.
The Usefulness of Useless Knowledge Goodreads 豆瓣
作者: Abraham Flexner Princeton University Press 2017 - 2
A short, provocative book about why "useless" science often leads to humanity's greatest technological breakthroughs

A forty-year tightening of funding for scientific research has meant that resources are increasingly directed toward applied or practical outcomes, with the intent of creating products of immediate value. In such a scenario, it makes sense to focus on the most identifiable and urgent problems, right? Actually, it doesn't. In his classic essay "The Usefulness of Useless Knowledge," Abraham Flexner, the founding director of the Institute for Advanced Study in Princeton and the man who helped bring Albert Einstein to the United States, describes a great paradox of scientific research. The search for answers to deep questions, motivated solely by curiosity and without concern for applications, often leads not only to the greatest scientific discoveries but also to the most revolutionary technological breakthroughs. In short, no quantum mechanics, no computer chips.

This brief book includes Flexner's timeless 1939 essay alongside a new companion essay by Robbert Dijkgraaf, the Institute's current director, in which he shows that Flexner's defense of the value of "the unobstructed pursuit of useless knowledge" may be even more relevant today than it was in the early twentieth century. Dijkgraaf describes how basic research has led to major transformations in the past century and explains why it is an essential precondition of innovation and the first step in social and cultural change. He makes the case that society can achieve deeper understanding and practical progress today and tomorrow only by truly valuing and substantially funding the curiosity-driven "pursuit of useless knowledge" in both the sciences and the humanities.
贝叶斯方法与科学合理性 豆瓣
作者: 陈晓平 人民出版社 2010 - 2
康德说,休谟把他从独断论的迷梦中惊醒。笔者认为,如果休谟能够看到康德的书,他也许会说:康德把他从经验论的泥潭中拯救。在笔者看来,这两位最伟大的哲学家,其哲学思想是相互补充的。 本书是在贝叶斯理论的框架内,采纳并改进康德的先验范畴,进而给出休谟问题的一种解决。本书对若干有关科学合理性的疑难问题给以回应,其中包括反事实条件句与科学定律、分析与综合、还原与突现以及迪昂-奎因问题等。略
Explaining Explanation 豆瓣
作者: David-Hillel Ruben Routledge 2012 - 6
This second edition of David-Hillel Ruben's influential and highly acclaimed book on the philosophy of explanation has been revised and expanded, and the author has made substantial changes in light of the extensive reviews the first edition received. Ruben's views on the place of laws in explanation has been refined and clarified. What is perhaps the central thesis of the book, his realist view of explanation, describing the way in which explanation depends on metaphysics, has been updated and extended and engages with some of the work in this area published since the book's first edition.
Theory and Reality 豆瓣
作者: Peter Godfrey-Smith University of Chicago Press 2003 - 8
What makes science different from other ways of investigating the world? In Theory and Reality, Peter Godfrey-Smith uses debates--such as the problem of confirmation, the new riddle of induction, and the problem of scientific realism--as a way to introduce, in a completely accessible way, the main themes in the philosophy of science. Intended for undergraduates and general readers with no prior background in philosophy, Theory and Reality starts by surveying the last hundred years of work in the field. It covers logical positivism; induction and confirmation; Karl Popper's theory of science; Thomas Kuhn and "scientific revolutions"; the radical views of Imre Lakatos, Larry Laudan, and Paul Feyerabend; and challenges to the field from sociology of science, feminism, and science studies. The book then looks in detail at some of the broader philosophical issues at stake, such as philosophical naturalism, scientific realism, theories of explanation in science, Bayesianism, and other modern theories of evidence. Finally, Godfrey-Smith presents his own proposal for approaching the philosophy of science. Throughout the text he points out connections between philosophical debates and wider discussions about science in recent decades, such as the infamous "science wars." Examples and asides engage the beginning student, a glossary of terms explains key concepts, and suggestions for further reading are included at the end of each chapter. Like no other text in this field, Theory and Reality combines a survey of recent history of the philosophy of science with current key debates in language that any beginning scholar or critical reader can follow.