Naturalizing Metaphysics with the Help of Cognitive Science
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The Epistemology of Evidence in Cognitive Neuroscience1
To appear in In R. Skipper Jr., C. Allen, R. A. Ankeny, C. F. Craver, L. Darden, G. Mikkelson, and R. Richardson (eds.), Philosophy and the Life Sciences: A Reader. Cambridge, MA: MIT Press. The Epistemology of Evidence in Cognitive Neuroscience1 William Bechtel Department of Philosophy and Science Studies University of California, San Diego 1. The Epistemology of Evidence It is no secret that scientists argue. They argue about theories. But even more, they argue about the evidence for theories. Is the evidence itself trustworthy? This is a bit surprising from the perspective of traditional empiricist accounts of scientific methodology according to which the evidence for scientific theories stems from observation, especially observation with the naked eye. These accounts portray the testing of scientific theories as a matter of comparing the predictions of the theory with the data generated by these observations, which are taken to provide an objective link to reality. One lesson philosophers of science have learned in the last 40 years is that even observation with the naked eye is not as epistemically straightforward as was once assumed. What one is able to see depends upon one’s training: a novice looking through a microscope may fail to recognize the neuron and its processes (Hanson, 1958; Kuhn, 1962/1970).2 But a second lesson is only beginning to be appreciated: evidence in science is often not procured through simple observations with the naked eye, but observations mediated by complex instruments and sophisticated research techniques. What is most important, epistemically, about these techniques is that they often radically alter the phenomena under investigation. -
Switching Gestalts on Gestalt Psychology: on the Relation Between Science and Philosophy
Switching Gestalts on Gestalt Psychology: On the Relation between Science and Philosophy Jordi Cat Indiana University The distinction between science and philosophy plays a central role in meth- odological, programmatic and institutional debates. Discussions of disciplin- ary identities typically focus on boundaries or else on genealogies, yielding models of demarcation and models of dynamics. Considerations of a disci- pline’s self-image, often based on history, often plays an important role in the values, projects and practices of its members. Recent focus on the dynamics of scientiªc change supplements Kuhnian neat model with a role for philoso- phy and yields a model of the evolution of philosophy of science. This view il- luminates important aspects of science and itself contributes to philosophy of science. This interactive model is general yet based on exclusive attention to physics. In this paper and two sequels, I focus on the human sciences and ar- gue that their role in the history of philosophy of science is just as important and it also involves a close involvement of the history of philosophy. The focus is on Gestalt psychology and it points to some lessons for philosophy of science. But, unlike the discussion of natural sciences, the discussion here brings out more complication than explication, and skews certain kinds of generaliza- tions. 1. How Do Science and Philosophy Relate to Each Other? a) As Nietzsche put it in the Genealogy of Morals: “Only that which has no history can be deªned.” This notion should make us wary of Heideggerian etymology, conceptual analysis and even Michael Friedman’s relativized, dialectical, post-Kuhnian Hegelianism alike. -
Analysis - Identify Assumptions, Reasons and Claims, and Examine How They Interact in the Formation of Arguments
Analysis - identify assumptions, reasons and claims, and examine how they interact in the formation of arguments. Individuals use analytics to gather information from charts, graphs, diagrams, spoken language and documents. People with strong analytical skills attend to patterns and to details. They identify the elements of a situation and determine how those parts interact. Strong interpretations skills can support high quality analysis by providing insights into the significance of what a person is saying or what something means. Inference - draw conclusions from reasons and evidence. Inference is used when someone offers thoughtful suggestions and hypothesis. Inference skills indicate the necessary or the very probable consequences of a given set of facts and conditions. Conclusions, hypotheses, recommendations or decisions that are based on faulty analysis, misinformation, bad data or biased evaluations can turn out to be mistaken, even if they have reached using excellent inference skills. Evaluative - assess the credibility of sources of information and the claims they make, and determine the strength and weakness or arguments. Applying evaluation skills can judge the quality of analysis, interpretations, explanations, inferences, options, opinions, beliefs, ideas, proposals, and decisions. Strong explanation skills can support high quality evaluation by providing evidence, reasons, methods, criteria, or assumptions behind the claims made and the conclusions reached. Deduction - decision making in precisely defined contexts where rules, operating conditions, core beliefs, values, policies, principles, procedures and terminology completely determine the outcome. Deductive reasoning moves with exacting precision from the assumed truth of a set of beliefs to a conclusion which cannot be false if those beliefs are untrue. Deductive validity is rigorously logical and clear-cut. -
Fighting for the Mantle of Science: the Epistemological Foundations of Neoliberalism, 1931-1951
Université de Montréal Fighting for the Mantle of Science: The Epistemological Foundations of Neoliberalism, 1931-1951 par Martin Beddeleem Département de science politique Faculté des arts et des sciences Thèse présentée en vue de l’obtention du grade de Philosophiæ Doctor (Ph.D.) en science politique Décembre 2017 © Martin Beddeleem, 2017 RÉSUMÉ Cette thèse examine la genèse intellectuelle du néolibéralisme au prisme de son épistémologie. Elle interroge le développement de ses arguments concernant la production et la diffusion de la connaissance, guidée par l’hypothèse que la formulation d’une position épistémologique commune a été cruciale pour la consolidation de son programme idéologique. Je propose que le néolibéralisme, en provoquant une rupture avec le libéralisme classique, a opéré un recodage des principes libéraux à l’intérieur d’un cadre épistémologique basé sur le conventionnalisme, à l’aide de prémisses tirées des sciences naturelles, de la théorie économique, et de la philosophie des sciences. Afin d’obtenir un panorama contextuel de son émergence, cette thèse fournit une reconstruction des débats intellectuels des années 1930 en Angleterre sur deux plans principaux : le débat sur la planification de la science, et celui sur la planification de l’économie. Dans un climat propice aux idées planistes, perçues comme davantage rationnelles et scientifiques, les néolibéraux précoces s’attelèrent à montrer la portée limitée de la science positive pour orienter les décisions politiques. La montée du totalitarisme contribua à donner à leur discours une urgence singulière, puisqu’il expliquait le recours au collectivisme étatique par la prégnance d’opinions scientifiques erronées. Pendant la Seconde Guerre mondiale, la formation d’un réseau néolibéral déclencha une fertilisation croisée entre ces différents penseurs, dont l’agenda commun avait été défini au moment du Colloque Walter-Lippmann en 1938. -
Ohio Rules of Evidence
OHIO RULES OF EVIDENCE Article I GENERAL PROVISIONS Rule 101 Scope of rules: applicability; privileges; exceptions 102 Purpose and construction; supplementary principles 103 Rulings on evidence 104 Preliminary questions 105 Limited admissibility 106 Remainder of or related writings or recorded statements Article II JUDICIAL NOTICE 201 Judicial notice of adjudicative facts Article III PRESUMPTIONS 301 Presumptions in general in civil actions and proceedings 302 [Reserved] Article IV RELEVANCY AND ITS LIMITS 401 Definition of “relevant evidence” 402 Relevant evidence generally admissible; irrelevant evidence inadmissible 403 Exclusion of relevant evidence on grounds of prejudice, confusion, or undue delay 404 Character evidence not admissible to prove conduct; exceptions; other crimes 405 Methods of proving character 406 Habit; routine practice 407 Subsequent remedial measures 408 Compromise and offers to compromise 409 Payment of medical and similar expenses 410 Inadmissibility of pleas, offers of pleas, and related statements 411 Liability insurance Article V PRIVILEGES 501 General rule Article VI WITNESS 601 General rule of competency 602 Lack of personal knowledge 603 Oath or affirmation Rule 604 Interpreters 605 Competency of judge as witness 606 Competency of juror as witness 607 Impeachment 608 Evidence of character and conduct of witness 609 Impeachment by evidence of conviction of crime 610 Religious beliefs or opinions 611 Mode and order of interrogation and presentation 612 Writing used to refresh memory 613 Impeachment by self-contradiction -
"What Is Evidence?" a Philosophical Perspective
"WHAT IS EVIDENCE?" A PHILOSOPHICAL PERSPECTIVE PRESENTATION SUMMARY NATIONAL COLLABORATING CENTRES FOR PUBLIC HEALTH 2007 SUMMER INSTITUTE "MAKING SENSE OF IT ALL" BADDECK, NOVA SCOTIA, AUGUST 20-23 2007 Preliminary version—for discussion "WHAT IS EVIDENCE?" A PHILOSOPHICAL PERSPECTIVE PRESENTATION SUMMARY NATIONAL COLLABORATING CENTRES FOR PUBLIC HEALTH 2007 SUMMER INSTITUTE "MAKING SENSE OF IT ALL" BADDECK, NOVA SCOTIA, AUGUST 20-23 2007 NATIONAL COLLABORATING CENTRE FOR HEALTHY PUBLIC POLICY JANUARY 2010 SPEAKER Daniel Weinstock Research Centre on Ethics, University of Montréal EDITOR Marianne Jacques National Collaborating Centre for Healthy Public Policy LAYOUT Madalina Burtan National Collaborating Centre for Healthy Public Policy DATE January 2010 The aim of the National Collaborating Centre for Healthy Public Policy (NCCHPP) is to increase the use of knowledge about healthy public policy within the public health community through the development, transfer and exchange of knowledge. The NCCHPP is part of a Canadian network of six centres financed by the Public Health Agency of Canada. Located across Canada, each Collaborating Centre specializes in a specific area, but all share a common mandate to promote knowledge synthesis, transfer and exchange. The production of this document was made possible through financial support from the Public Health Agency of Canada and funding from the National Collaborating Centre for Healthy Public Policy (NCCHPP). The views expressed here do not necessarily reflect the official position of the Public Health Agency of Canada. This document is available in electronic format (PDF) on the web site of the National Collaborating Centre for Healthy Public Policy at www.ncchpp.ca. La version française est disponible sur le site Internet du CCNPPS au www.ccnpps.ca. -
The Problem of Induction
The Problem of Induction Gilbert Harman Department of Philosophy, Princeton University Sanjeev R. Kulkarni Department of Electrical Engineering, Princeton University July 19, 2005 The Problem The problem of induction is sometimes motivated via a comparison between rules of induction and rules of deduction. Valid deductive rules are necessarily truth preserving, while inductive rules are not. So, for example, one valid deductive rule might be this: (D) From premises of the form “All F are G” and “a is F ,” the corresponding conclusion of the form “a is G” follows. The rule (D) is illustrated in the following depressing argument: (DA) All people are mortal. I am a person. So, I am mortal. The rule here is “valid” in the sense that there is no possible way in which premises satisfying the rule can be true without the corresponding conclusion also being true. A possible inductive rule might be this: (I) From premises of the form “Many many F s are known to be G,” “There are no known cases of F s that are not G,” and “a is F ,” the corresponding conclusion can be inferred of the form “a is G.” The rule (I) might be illustrated in the following “inductive argument.” (IA) Many many people are known to have been moral. There are no known cases of people who are not mortal. I am a person. So, I am mortal. 1 The rule (I) is not valid in the way that the deductive rule (D) is valid. The “premises” of the inductive inference (IA) could be true even though its “con- clusion” is not true. -
Epistemology and Philosophy of Science
OUP UNCORRECTED PROOF – FIRSTPROOFS, Wed Apr 06 2016, NEWGEN Chapter 11 Epistemology and Philosophy of Science Otávio Bueno 1 Introduction It is a sad fact of contemporary epistemology and philosophy of science that there is very little substantial interaction between the two fields. Most epistemological theo- ries are developed largely independently of any significant reflection about science, and several philosophical interpretations of science are articulated largely independently of work done in epistemology. There are occasional exceptions, of course. But the general point stands. This is a missed opportunity. Closer interactions between the two fields would be ben- eficial to both. Epistemology would gain from a closer contact with the variety of mech- anisms of knowledge generation that are produced in scientific research, with attention to sources of bias, the challenges associated with securing truly representative samples, and elaborate collective mechanisms to secure the objectivity of scientific knowledge. It would also benefit from close consideration of the variety of methods, procedures, and devices of knowledge acquisition that shape scientific research. Epistemological theories are less idealized and more sensitive to the pluralism and complexities involved in securing knowledge of various features of the world. Thus, philosophy of science would benefit, in turn, from a closer interaction with epistemology, given sophisticated conceptual frameworks elaborated to refine and characterize our understanding of knowledge, -
The Epistemology of Admissibility: Why Even Good Philosophy of Science Would Not Make for Good Philosophy of Evidence
University of Chicago Law School Chicago Unbound Journal Articles Faculty Scholarship 1997 The Epistemology of Admissibility: Why Even Good Philosophy of Science Would Not Make for Good Philosophy of Evidence Brian Leiter Follow this and additional works at: https://chicagounbound.uchicago.edu/journal_articles Part of the Law Commons Recommended Citation Brian Leiter, "The Epistemology of Admissibility: Why Even Good Philosophy of Science Would Not Make for Good Philosophy of Evidence," 1997 Brigham Young University Law Review 803 (1997). This Article is brought to you for free and open access by the Faculty Scholarship at Chicago Unbound. It has been accepted for inclusion in Journal Articles by an authorized administrator of Chicago Unbound. For more information, please contact [email protected]. The Epistemology of Admissibility: Why Even Good Philosophy of Science Would Not Make for Good Philosophy of Evidence Brian Leiter* I. INTRODUCTION In its 1923 decision in Frye v. United States,1 the United States Court of Appeals for the District of Columbia set out what was, for seventy years, the most influential test for the admissi- bility of scientific evidence in federal court. In Frye, the question was whether the results of a lie detector test were admissible on behalf of the defense. The Court of Appeals agreed with the trial court that such evidence was inadmissible, famously holding, that scientific evidence "must be sufficiently established to have gained general acceptance in the particular field in which it be- longs."2 In 1993, the United States Supreme Court ended Frye's reign of influence with its decision in Daubert v. -
Turns in the Evolution of the Problem of Induction*
CARL G. HEMPEL TURNS IN THE EVOLUTION OF THE PROBLEM OF INDUCTION* 1. THE STANDARD CONCEPTION: INDUCTIVE "INFERENCE" Since the days of Hume's skeptical doubt, philosophical conceptions of the problem of induction and of ways in which it might be properly solved or dissolved have undergone a series of striking metamor- phoses. In my paper, I propose to examine some of those turnings, which seem to me to raise particularly important questions about the nature of empirical knowledge and especially scientific knowledge. Many, but by no means all, of the statements asserted by empirical science at a given time are accepted on the basis of previously established evidence sentences. Hume's skeptical doubt reflects the realization that most of those indirectly, or inferentially, accepted assertions rest on evidence that gives them no complete, no logically conclusive, support. This is, of course, the point of Hume's obser- vation that even if we have examined many occurrences of A and have found them all to be accompanied by B, it is quite conceivable, or logically possible, that some future occurrence of A might not be accompanied by B. Nor, we might add, does our evidence guarantee that past or present occurrences of A that we have not observed were- or are- accompanied by B, let alone that all occurrences ever of A are, without exception, accompanied by B. Yet, in our everyday pursuits as well as in scientific research we constantly rely on what I will call the method of inductive ac- ceptance, or MIA for short: we adopt beliefs, or expectations, about empirical matters on logically incomplete evidence, and we even base our actions on such beliefs- to the point of staking our lives on some of them. -
Three Objections to the Use of Empiricism in Criminal Law and Procedure—And Three Answers
MEARES.DOC 2/20/2003 10:44 AM THREE OBJECTIONS TO THE USE OF EMPIRICISM IN CRIMINAL LAW AND PROCEDURE—AND THREE ANSWERS Tracey L. Meares* Recent studies show that, over the past decade, judges and law- yers have begun to cite to empirical studies in their work with increas- ing regularity. However, the use of empiricism is still not common in many areas of the law. In this article, Tracey L. Meares draws on her background in criminal justice to highlight three major objections to the use of empiricism in criminal law and procedure: (1) much of the empirical evidence used by courts is flawed and courts are not equipped to deal with complicated social scientific data; (2) the use of empiricism decreases public acceptance in the criminal justice system, which in turn, prevents an individual from internalizing legal rules (“less information is better”); and (3) empirical information is irrele- vant to the normative goals of criminal law and procedure. After fully analyzing these objections, the author presents various counter- arguments that underscore the importance of using empiricism in the creation and interpretation of criminal law and procedure. Professor Meares dismisses the first critique as merely an objec- tion to bad social science and argues for the use of critical review as one of the mechanisms by which courts could screen social science re- search. The author responds to the “less information is better” objec- tion by attacking it on moral grounds and by demonstrating how the use of empirical evidence can lead to higher levels of legitimacy and to greater compliance with the law. -
The Unity of Science in Early-Modern Philosophy: Subalternation, Metaphysics and the Geometrical Manner in Scholasticism, Galileo and Descartes
The Unity of Science in Early-Modern Philosophy: Subalternation, Metaphysics and the Geometrical Manner in Scholasticism, Galileo and Descartes by Zvi Biener M.A. in Philosophy, University of Pittsburgh, 2004 B.A. in Physics, Rutgers University, 1995 B.A. in Philosophy, Rutgers University, 1995 Submitted to the Graduate Faculty of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2008 UNIVERSITY OF PITTSBURGH FACULTY OF ARTS AND SCIENCES This dissertation was presented by Zvi Biener It was defended on April 3, 2008 and approved by Peter Machamer J.E. McGuire Daniel Garber James G. Lennox Paolo Palmieri Dissertation Advisors: Peter Machamer, J.E. McGuire ii Copyright c by Zvi Biener 2008 iii The Unity of Science in Early-Modern Philosophy: Subalternation, Metaphysics and the Geometrical Manner in Scholasticism, Galileo and Descartes Zvi Biener, PhD University of Pittsburgh, 2008 The project of constructing a complete system of knowledge—a system capable of integrating all that is and could possibly be known—was common to many early-modern philosophers and was championed with particular alacrity by Ren´eDescartes. The inspiration for this project often came from mathematics in general and from geometry in particular: Just as propositions were ordered in a geometrical demonstration, the argument went, so should propositions be ordered in an overall system of knowledge. Science, it was thought, had to proceed more geometrico. I offer a new interpretation of ‘science more geometrico’ based on an analysis of the explanatory forms used in certain branches of geometry. These branches were optics, as- tronomy, and mechanics; the so-called subalternate, subordinate, or mixed-mathematical sciences.