The Impotent Fury of William Dembski
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The Idea of Natural Selection in Politics, Schools, and Courts
FREEDOM TO ERR: THE IDEA OF NATURAL SELECTION IN POLITICS, SCHOOLS, AND COURTS Paul D. Carrington* The biologists are surely correct who proclaim that "there is no serious scientific doubt that evolution occurred or that natural selection is a major mechanism in its occurrence."' But worthy of their salute is the wisdom of President Jefferson that "error of opinion may be tolerated, where reason is left free to combat it."2 Jefferson's wisdom was uttered in response to the deep division between Anglophiles and Francophiles that seriously threatened the stability of the Republic he governed.3 It now serves to call into question the quoted biologists' next sentence stating that "[i]t is scientifically inappropriate and pedagogically irresponsible for creationist pseudoscience, including but not limited to 'intelligent design,' to be introduced into the science curricula of our nation's public schools."4 Especially questionable is the wisdom of elite federal courts acting on the advice of such eminent biologists to invoke the Constitution of the United States to suppress minor scientific heresies uttered in the education of adolescents by their parents or * Professor of Law, Duke University. It is pertinent that I served as an elected trustee of the Ann Arbor Board of Education in 1970-1973; and as chair of the Public Education Committee of the Michigan Civil Liberties Union 1968-1978. In the latter role, I assisted in the repre- sentation of numerous teachers, parents, and children in their quarrels with local school boards. It is also pertinent that in 2000-2006, I served as a member of the National Academy of Science Panel on Law, Science and Technology. -
Multi-Agent Economics and the Emergence of Critical Markets
Multi-agent Economics and the Emergence of Critical Markets Michael S. Harr´e1 1Complex Systems Research Group, Faculty of Engineering and IT, The University of Sydney, Sydney, Australia. Abstract The dual crises of the sub-prime mortgage crisis and the global financial crisis has prompted a call for explanations of non-equilibrium market dynamics. Recently a promising approach has been the use of agent based models (ABMs) to simulate aggregate market dynamics. A key aspect of these models is the endogenous emergence of critical transitions between equilibria, i.e. market collapses, caused by multiple equilibria and changing market parameters. Several research themes have developed microeconomic based models that include multiple equilibria: social decision theory (Brock and Durlauf), quantal response models (McKelvey and Palfrey), and strategic complementarities (Goldstein). A gap that needs to be filled in the literature is a unified analysis of the relationship between these models and how aggregate criticality emerges from the individual agent level. This article reviews the agent-based foundations of markets starting with the individual agent perspective of McFadden and the aggregate perspective of catastrophe theory emphasising connections between the different approaches. It is shown that changes in the uncertainty agents have in the value of their interactions with one another, even if these changes are one-sided, plays a central role in systemic market risks such as market instability and the twin crises effect. These interactions can endogenously cause crises that are an emergent phenomena of markets. 1 Introduction Multi-agent models have grown in popularity [2, 5, 64, 9, 34, 37] as a way in which to simu- late complex market dynamics that might have no closed form solutions. -
United States District Court Northern District of Georgia Atlanta Division
UNITED STATES DISTRICT COURT NORTHERN DISTRICT OF GEORGIA ATLANTA DIVISION JEFFREY MICHAEL SELMAN, et al., ) No. 1:02-CV-2325-CC ) Plaintiffs, ) BRIEF AMICUS CURIAE ) OF COLORADO CITIZENS v. ) FOR SCIENCE, KANSAS ) CITIZENS FOR SCIENCE, COBB COUNTY SCHOOL DISTRICT, et al., ) MICHIGAN CITIZENS FOR ) SCIENCE, NEBRASKA Defendants. ) RELIGIOUS COALITION ) FOR SCIENCE EDUCATION, NEW MEXICO ACADEMY OF SCIENCE, NEW MEXICANS FOR SCIENCE AND REASON, NEW MEXICO COALITION FOR EXCELLENCE IN SCIENCE AND MATH EDUCATION, AND TEXAS CITIZENS FOR SCIENCE, IN SUPPORT OF PLAINTIFFS LYNN FANT 254963 Counsel of Record P.O. Box 668 Marietta, GA 30061-0668 Tel: (770) 590-7294 Attorney for Amici Curiae Colorado Citizens for Science, et al. TABLE OF CONTENTS Page TABLE OF AUTHORITIES ........................................ii INTRODUCTION ...............................................1 IDENTITY AND INTEREST OF AMICUS CURIAE ....................1 SUMMARY OF ARGUMENT ......................................2 ARGUMENT ...................................................2 I. INTELLIGENT DESIGN ADVOCATES MISREPRESENT EVOLUTIONARY SCIENCE ..................................2 II. THERE IS NO GENUINE SCIENTIFIC CONTROVERSY OVER THE VALIDITY OF EVOLUTION ..............................6 CONCLUSION .................................................10 - i - TABLE OF AUTHORITIES Page Cases Freiler v. Tangipahoa Parish Bd. of Educ., 185 F.3d 337 (5th Cir. 1999), cert. denied, 530 U.S. 1251 (2000)) ....................................6 Daubert v. Merrell Dow Pharmaceuticals, Inc., 509 U.S. 579 (1993) .........6 Everson v. Board of Ed. of Ewing Tp., 330 U.S. 1 (1947). .................9 Other Texts Gary L Bennett, A Review of Of Pandas and People as a Textbook Supplement, NCSE Reports, Nov. 2000 .......................................7 Marshall Berman, Intelligent Design Creationism: A Threat to Society--Not Just Biology, The American Biology Teacher, Nov. 2003 ......................5 Wesley R. Elsberry, et al., The “Meyer 2004" Medley, Panda’s Thumb .......9 Douglas J. -
What Is Important About the No Free Lunch Theorems? 3
What is important about the No Free Lunch theorems? David H. Wolpert Abstract The No Free Lunch theorems prove that under a uniform distribution over induction problems (search problemsor learning problems), all induction algorithms perform equally. As I discuss in this chapter, the importanceofthe theoremsarises by using them to analyze scenarios involving non-uniform distributions, and to compare different algorithms, without any assumption about the distribution over problems at all. In particular, the theorems prove that anti-cross-validation (choosing among a set of candidate algorithms based on which has worst out-of-sample behavior) performs as well as cross-validation, unless one makes an assumption — which has never been formalized — about how the distribution over induction problems, on the one hand,is relatedto the set of algorithmsone is choosingamong using (anti-)cross validation, on the other. In addition, they establish strong caveats concerning the significance of the many results in the literature which establish the strength of a particular algorithm without assuming a particular distribution. They also motivate a “dictionary” between supervised learning and improve blackbox optimization, which allows one to “translate” techniques from supervised learning into the domain of blackbox optimization, thereby strengthening blackbox optimization algorithms. In addition to these topics, I also briefly discuss their implications for philosophy of science. 1 Introduction arXiv:2007.10928v1 [cs.LG] 21 Jul 2020 The first of what are now called the No Free Lunch (NFL) theorems were published in [1]. Soon after publication they were popularizedin [2], building on a preprint ver- sion of [1]. Those first theorems focused on (supervised) machine learning. -
Conference Program
The Third International Conference on Knowledge Discovery and Data Mining August 14–17 1997, Newport Beach, California Sponsored by the American Association for Artificial Intelligence Cosponsored by General Motors Research, The National Institute for Statistical Sciences, and NCR Corporation In cooperation with The American Statistical Association Welcome to KDD-97! KDD-97 Organization General Conference Chair William Eddy, Carnegie Mellon Sally Morton, Rand Corporation University Richard Muntz, University of California Ramasamy Uthurusamy, General Motors Charles Elkan, University of California at at Los Angeles Corporation San Diego Raymond Ng, University of British Usama Fayyad, Microsoft Research Columbia Program Cochairs Ronen Feldman, Bar-Ilan University, Steve Omohundro, NEC Research David Heckerman, Microsoft Research Israel Gregory Piatetsky-Shapiro, Heikki Mannila, University of Helsinki, Jerry Friedman, Stanford University GTE Laboratories Finland Dan Geiger, Technion, Israel Daryl Pregibon, Bell Laboratories Daryl Pregibon, AT&T Laboratories Clark Glymour, Carnegie Mellon Raghu Ramakrishnan, University of University Wisconsin, Madison Publicity Chair Moises Goldszmidt, SRI International Patricia Riddle, Boeing Computer Georges Grinstein, University of Services Paul Stolorz, Jet Propulsion Laboratory Massachusetts, Lowell Ted Senator, NASD Regulation Inc. Tutorial Chair Jiawei Han, Simon Fraser University, Jude Shavlik, University of Wisconsin at Canada Madison Padhraic Smyth, University of California, David Hand, Open University, -
David Wolpert Research Statement
David Wolpert Research Statement Although my degrees were in physics (Princeton, then the Kavli Institute for Theoretical Physics), my interests are far broader. Reflecting this I have worked at the Santa Fe Institute, the Neurosciences Institute at Rockefeller University, Los Alamos’ Center for Nonlinear Studies, TXN (a data-mining startup), and IBM. Currently I am a senior computer scientist at NASA. Reflecting this breadth of my interests, I have published work on the following topics, most of it being on the first four: Multi-agent systems and distributed control Operations research (in particular nonlinear and heuristic optimization) Machine learning Statistics (Bayesian, Sampling theory, and Maxent) Nanotechnology Molecular biology Computation theory Game theory Several branches of mathematics. In the last few years my research focus has been five-fold: 1) PROBABILITY COLLECTIVES: By casting both of them in terms of information theory, game theory and statistical physics are, mathematically, identical. Intuitively, players in a game and their reward functions are identical to particles in a system and their energy functions. This identity allows one to “cut and paste” techniques between these fields, creating a hybrid richer than either by itself. So for example, the proper quantification of the bounded rationality of an agent turns out to be formally identical to a particle’s temperature. As another example, techniques in statistical physics used to analyze systems with varying numbers of particles can be applied to games with varying numbers of agents. Along with the members of my group and collaborators at Oxford, Stanford, Berkeley, and Los Alamos, I have been investigating the extremely rich theory arising from this hybridization. -
Argument from Authority What Is an Argument from Authority?
Argument from Authority What is an argument from authority? • “We should believe P because an expert, or authority, believes P.” “This fallacy is committed whenever we argue for some point, not because it is well grounded in fact or logic but because of the authority of the person who presented it. The standing or prestige of a recognised authority is said to guarantee the truth of the claim, and anyone who doubts it is made to feel presumptuous or egotistical. The thrust of the argument is, “Who are you to challenge the judgment of this authority or the experience of that expert?” Burton Porter, The Voice of Reason, p. 96 p. 97: “In a sense, this seems reasonable because we do accept ideas on authority all the time. No one can check the evidence of everything that is claimed, so we must depend on the information provided by authorities.” • We need to remember that authorities are often wrong. • E.g. “Just as the doctrine of organic evolution is universally accepted among thinking biologists, so also the geosynclinal origin of the major mountain ranges is an established principle in geology.” Thomas Clark and Colin Stearn, The Geological Evolution of North America: A Regional Approach to Historical Geology, p.43 (Ronald Press, 1960) Philip Tetlock experiment • In the mid-1980s, the psychologist Philip Tetlock convinced 284 political experts to make nearly a hundred predictions each about a variety of possible future events. • Tetlock insisted that the experts specify which of two outcomes they expected and also assign a probability to their prediction. -
LA-UR-11-06242 Approved for Public Release; Distribution Is Unlimited
LA-UR-11-06242 Approved for public release; distribution is unlimited. Title: Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games Author(s): Ritchie Lee David Wolpert Scott Backhaus Russell Bent James Bono Brendan Tracey Intended for: 25th Annual Conference on Neural Information Processing Systems, Workshop on Decision Making with Multiple Imperfect Decision Makers, Granda, Spain, December 2011 Los Alamos National Laboratory, an affirmative action/equal opportunity employer, is operated by the Los Alamos National Security, LLC for the National Nuclear Security Administration of the U.S. Department of Energy under contract DE-AC52-06NA25396. By acceptance of this article, the publisher recognizes that the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or to allow others to do so, for U.S. Government purposes. Los Alamos National Laboratory requests that the publisher identify this article as work performed under the auspices of the U.S. Department of Energy. Los Alamos National Laboratory strongly supports academic freedom and a researcher’s right to publish; as an institution, however, the Laboratory does not endorse the viewpoint of a publication or guarantee its technical correctness. Form 836 (7/06) Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games Ritchie Lee David H. Wolpert Carnegie Mellon University Silicon Valley Intelligent Systems Division NASA Ames Research Park MS23-11 NASA Ames Research Center MS269-1 Moffett Field, CA 94035 Moffett Field, CA 94035 [email protected] [email protected] Scott Backhaus Russell Bent Los Alamos National Laboratory Los Alamos National Laboratory MS K764, Los Alamos, NM 87545 MS C933, Los Alamos, NM 87545 [email protected] [email protected] James Bono Brendan Tracey Department of Economics Department of Aeronautics and Astronautics American University Stanford University 4400 Massachusetts Ave. -
On the Origin of Academic Freedom Bills by Means of Precedential Selection: and Why Efforts Should Be Taken to Facilitate Their Extinction Marcus Pierce Almond
Seton Hall University eRepository @ Seton Hall Law School Student Scholarship Seton Hall Law 2013 On the Origin of Academic Freedom Bills by Means of Precedential Selection: and Why Efforts Should be Taken to Facilitate Their Extinction Marcus Pierce Almond Follow this and additional works at: https://scholarship.shu.edu/student_scholarship Recommended Citation Almond, Marcus Pierce, "On the Origin of Academic Freedom Bills by Means of Precedential Selection: and Why Efforts Should be Taken to Facilitate Their Extinction" (2013). Law School Student Scholarship. 382. https://scholarship.shu.edu/student_scholarship/382 ON THE ORIGIN OF ACADEMIC FREEDOM BILLS BY MEANS OF PRECEDENTIAL SELECTION: AND WHY EFFORTS SHOULD BE TAKEN TO FACILITATE THEIR EXTINCTION By: Marcus Almond Seton Hall Law Advanced Writing Requirement: Expert Witnesses ·~.~~'->/ Summer, 2011 INTRODUCTION Though courts have uniformly found that legislative efforts to restrict the teaching of the theory of evolution (TE) in public schools violate the Establishment Clause, the tactics of those intent on doing so have consistently adapted to such precedential selection. Most recently, Academic Freedom Bills (AFBs), which permit science teachers to introduce instructional materials that argue against TE, have been proposed in thirteen state legislatures across the United States. Though at present only Louisiana has passed such a bill into law, AFBs are currently pending in Florida, Missouri, South Carolina, Tennessee, and Texas. State legislators should reject further efforts to enact AFBs into law. AFBs, and the organizations that lobby for them, misrepresent the views of the scientific community regarding the viability of TE. They obfuscate professional and legal protections of teachers' rights to academic freedom, and they propagate inaccurate scientific information. -
Evolution Debate from Philosophy Forum Feb, 2004 All Quotations Are in Red
Evolution Debate from Philosophy Forum Feb, 2004 All quotations are in red. All responses to quotations by John Donovan unless otherwise noted. Quote: Originally Posted by Radrook I am thoroughly familiar ith the scientific method. Accusing me of not being familiar simply shows that you are willing to reach idiotic conclusions and make ridiculous accusations in order to advance your ideas. I didn't say you don't know scientific method (although I'm dubious about that as well) I said you didn't understand evolutionary theory, which you clearly don't or you would not conflate it with abiogenesis, the existence of God and the beginning of the universe. You also would not riddle your posts with so many erroneous statements about what the evidence is and isn't. Quote: Speciation proves NOTHING since the animal remains essentially the same except for some slight modifications. Huh??/Wha the wha??/ Speciation is evolution. It's the very definition of evolution. Are you sure you understand what the term means? It means that one population within a species has changed enough that it has become a different species. That is evolution. QED. Game over. Quote: That these modifications would result in the ridiculous transformations that you blindly belief in is merely conjecture--actually more akin to a fairy tale. I have no idea what you imagine that I "blindly belief in" but I assure you I do not believe in any ridiculous transformations, only in excruciating slow, incremental adaptations over huge amounts of time. I do not take this on faith or conjecture but on the overwhelming physical evidence which supports it. -
Arxiv:2103.11956V2 [Cs.LG] 28 Jun 2021 the Implications of the No
The Implications of the No-Free-Lunch Theorems for Meta-induction David H. Wolpert Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, http://davidwolpert.weebly.com Abstract The important recent book by G. Schurz [1] appreciates that the no-free- lunch theorems (NFL) have major implications for the problem of (meta) induction. Here I review the NFL theorems, emphasizing that they do not only concern the case where there is a uniform prior — they prove that there are “as many priors” (loosely speaking) for which any induction algo- rithm A out-generalizes some induction algorithm B as vice-versa. Impor- tantly though, in addition to the NFL theorems, there are many free lunch theorems. In particular, the NFL theorems can only be used to compare the marginal expected performance of an induction algorithm A with the marginal expected performance of an induction algorithm B. There is a rich set of free lunches which instead concern the statistical correlations among the generalization errors of induction algorithms. As I describe, the meta- induction algorithms that Schurz advocates as a “solution to Hume’s prob- lem” are simply examples of such a free lunch based on correlations among the generalization errors of induction algorithms. I end by pointing out that the prior that Schurz advocates, which is uniform over bit frequencies rather than bit patterns, is contradicted by thousands of experiments in statistical physics and by the great success of the maximum entropy procedure in in- arXiv:2103.11956v2 [cs.LG] 28 Jun 2021 ductive inference. “There is only limited value In knowledge derived from experience. -
The Science of Evolution the Myth of Creationism
THE SCIENCE OF EVOLUTION AND THE MYTH OF CREATIONISM KNOWING WHAT’S REAL AND WHY IT MATTERS ARDEA SKYBREAK Insight Press Chicago © 2006 by Ardea Skybreak. All rights reserved. Published in 2006 by Insight Press. Printed in U.S.A. first edition ISBN: 0-9760236-5-2 Contents INTRODUCTION . 1 CHAPTER 1 AN OVERVIEW . 7 So What Is Evolution Anyway? . 10 What All Evolving Systems Have in Common . 11 Millions and Billions of Years . 13 What the Fossils Tell Us . 18 So What Did Darwin Figure Out? . 23 What Darwin Learned About Selection from Farmers . 25 Has Darwin’s Theory of Natural Selection Really Been Tested and Proven to be True? . 28 SUPPLEMENTAL INSERTS FOR CHAPTER 1: The Earliest Emergence of Life . 8 Not Everyone Wants You to Learn about Evolution . 11 Creation Myths . 14 Dating Techniques . 17 Change was in the Air . 22 Genetic Drift and Founder Effects . 30 The Continued Existence of Life on this Planet is Not a Given . 32 CHAPTER 2 THE EVIDENCE OF EVOLUTION IN ACTION IS ALL AROUND US . 39 Evolution in Action Today . 40 Rapid Evolutionary Change Observed in a Population of Moths . 40 Where Would We Be Without Fruit Flies? . 42 One Species Splitting Into Two on Opposite Sides of the Grand Canyon . 46 A Few Words on Creationists . 52 SUPPLEMENTAL INSERTS FOR CHAPTER 2: The Moth Flap . 44 Evolution in Action — The Distribution of Sickle Cell Genes in Human Populations . 48 An Interesting Example of Evolution in Action in the Treatment of HIV Infections . 51 CHAPTER 3 REVIEWING A FEW KEY POINTS ABOUT ADAPTATION .