Interpv3issue1 11/21 (Page 1)

Total Page:16

File Type:pdf, Size:1020Kb

Interpv3issue1 11/21 (Page 1) Volume 30 Issue 1 Fall 2002 3 Howard Moltz Story and Plot in the Book of Judges 21 John S. Treantafelles On the Teachability of Virtue: Political Philosophy’s Paradox 49 Steven V. Hicks Regionalism, Globalism and the Prospects for World Order: A Hegelian Approach 79 Heinrich Meier What is Political Theology? 93 Jacob Howland Love of Wisdom and Will to Order in Plato’s Timaeus: On Peter Kalkavage’s Translation 107 Alex Harvey A Review of Stephen Wolfram’s A New Kind of Science Editor-in-Chief Hilail Gildin, Dept. of Philosophy, Queens College General Editors Seth G. Benardete (d. 2001) • Charles E. Butterworth • Hilail Gildin • Leonard Grey • Robert Horwitz (d. 1978) • Howard B. White (d. 1974) Consulting Editors Christopher Bruell • Joseph Cropsey • Ernest L. Fortin • John Hallowell (d. 1992) • Harry V. Jaffa • David Lowenthal • Muhsin Mahdi • Harvey C. Mansfield • Arnaldo Momigliano (d. 1987) • Michaeal Oakeshott (d. 1990) • Ellis Sandoz • Leo Strauss (d. 1973) • Kenneth W. Thompson International Editors Terrence E. Marshall • Heinrich Meier Editors Wayne Ambler • Maurice Auerbach • Fred Baumann • Amy Bonnette • Patrick Coby • Elizabeth C’ de Baca Eastman • Thomas S. Engeman • Edward J. Erler • Maureen Feder-Marcus • Pamela K. Jensen • Ken Masugi • Will Morrisey • Susan Orr • Charles T. Rubin • Leslie G. Rubin • Susan Meld Shell • Bradford P. Wilson • Martin D. Yaffe • Michael P. Zuckert • Catherine H. Zuckert Copy Editor Ellen Wilson Designer Wendy Coy Subscriptions Subscription rates per volume (3 issues): Individuals $29 Libraries and all other institutions $48 Students (four year limit) $18 Single copies available. Postage outside U.S.: Canada: add $4.50; all other countries add $5.40 for surface mail (8 weeks or longer) or $11 for airmail. Payments: in U.S. dollars and payable by a financial institution located within the U.S.A. (or the U.S. Postal Service). Inquiries Mrs. Mary Contos, Assistant to the Editor Interpretation, Queens College, Flushing N.Y. 11367-1597, U.S.A. (718) 997-5542 Fax: (718) 997-5565 email [email protected] Printed by Sheridan Press, Hanover, PA, U.S.A. A New Science? 107 A New Science? A LEX H ARVEY EMERITUS,QUEENS COLLEGE A New Kind of Science, Stephen Wolfram (Wolfram Media, Champaign, IL), ISBN 1-57955-008-8. 1197 pp., $44.95. Dr. Wolfram’s credentials and accomplishments are impres- sive. He was educated at Eton, Oxford, and Caltech where he took a PhD in theoretical physics at the age of 20. He was the creator of Mathematica,a widely used, powerful, symbolic algebra software package for the personal computer and then founded a very successful company to market the package. Most of his work since has been devoted to further development of Mathematica and other aspects of computer science particularly with respect to complexity, cellular automata and related matters. And, in 1981, he was the youngest recipient ever of a MacArthur award. A New Kind of Science starts with the stunning claim, “Three centuries ago science was transformed by the dramatic new idea that rules based on mathematical equations could be used to describe the natural world. My purpose in this book is to introduce a new kind of science based on the much more general types of rules that can be embodied in a simple computer program.” The new kind of science is described as “... one of the more impor- tant single discoveries in the whole history of the physical sciences”. Dr. Wolfram proposes to dispense entirely with the commonly accepted scheme of a system of laws expressible in systems of equations governing the behavior of various aspects of the physical universe from the infinitesimal to the cosmo- logical in favor of computer algorithms. This is a very large claim. Master 108 Interpretation Galileo said that the language of nature is mathematics; Dr. Wolfram says it is a computer program based on cellular automata. Were it not for Dr. Wolfram’s credentials the book would probably be widely ignored. As it is, it will be wide- ly read by computer scientists and other interested professionals. The systems of equations which Dr. Wolfram proposes to supersede are usually written in the language of calculus. They are so written because the variables with which physicists deal, such as length, time, electric fields, etc., are all believed to vary smoothly. Time does not move by discrete increments; space is not a discrete lattice. The natural language for discussing such variables is the calculus which is based on the concept of continuity;every- thing varies smoothly. There have, however, been formulations based on the hypothesis that space and time are in fact discrete. For these schemes the cal- culus is not suitable. This hypothesis has not as yet proven to be fruitful. Calculus remains the essential tool. Motivated in part by his discovery that very simple computer programs involving cellular automata can lead to results of remarkable com- plexity, Dr. Wolfram proposes that such structures as the Maxwell equations which describe with admirable precision the dynamics of the electromagnetic field, the extremely successful theory of general relativity descriptive of the classical gravitational field, and the remarkably successful quantum theory all be replaced by computer programs using self-replicating cellular automata.It should be noted that the fractal set is another simple scheme that can lead to extremely elaborate results. Cellular automata are a species of algorithm—a recipe. To construct the simplest of these, take a sheet of graph paper and, in the top- most line, black out a single square or none at all. Each square in the next row, in accord with a specified rule, derives its character (black or white) from that of the triplet centered immediately above. This is then propagat- ed by the same rule into the third and successive rows. It is readily deter- mined that there are 256 distinct rules of the simple kind noted above. Most of them are not of interest; they lead to simple repetitive patterns. However, there are some rules which lead to extremely complex, seemingly random patterns. There are obviously a large variety of more complicated schemes, e.g., instead of just black and white, several colors might be used or several of the squares in the topmost row might be filled in. Obviously, a computer could be easily programmed to apply a given rule. In the “Notes” at the end A New Science? 109 of the book, Dr. Wolfram provides specific examples of such programs written in Mathematica. The concept of cellular automata was first put forward by John von Neumann in the 1940s to model in vastly simplified form, self- replicating biological systems, and has been the subject of continuous study since then. The ultimate aim here is to understand the manner in which a living organism depends on the self-replication of a finite amount of DNA, i.e., a finite amount of initial information. A New Kind of Science is a com- prehensive treatise on the behavior of cellular automata and is without peer. There is no treatment in the (existing substantial) literature which is simul- taneously so extensive and intensive. Much of the material is the product of Dr. Wolfram’s own research and has advanced tremendously our under- standing of cellular automata and related structures. Chapters 1 through 7 constitute the “treatise” on the prop- erties of cellular automata. Chapter 8 explores how a cellular automaton can exhibit the behavior of ordinary physical and biological systems such as crystal growth and the onset of turbulence in fluid flow. He shows how very complex structures can be generated by very simple rules and initial condi- tions. For instance, he can model, with startling accuracy, the growth of pat- terns resembling spiral sea shells, the forms of plants, and the coloration patterns in animals. Dr. Wolfram correctly states, “Any model is ultimately an idealization in which only certain aspects of a system are captured and others ignored....In most cases there have in the past never really been models that can even reproduce the most obvious feature of the behavior we see. So it is already major progress that the models I discuss yield pictures that even look roughly right.” This claim is definitely justified. All this is foundation for the subsequent chapters. In “Fundamental Physics” (Chapter 9) Dr. Wolfram explores first the concept of “reversibility.” It is well known that at the microscopic level the equations for dynamical processes are reversible, i.e., if one changes the sign of the time variable, the equations still run without a hitch. That is, time can run either forward or backward. This, however is not true of macroscopic processes; all those we know are irreversible. They all run, time wise, in the same direction. Hence, the picturesque phrase: “The Arrow of Time”. Every living organism grows older, not younger. We remember yesterday much better than we remember tomorrow. 110 Interpretation In the section “The Nature of Space,” the second paragraph states, “Present day physics almost always assumes that space is a perfect con- tinuum.” “Almost always” does not give an accurate assessment. There is a growing view that at a sufficiently small scale, space exhibits the character of froth, and the smaller the scale the more pronounced the frothiness. This derives from well-founded opinion that the equations of general relativity should be quantized, as is the rest of physical theory, and, in such scheme, spacetime would be quantized and, at a sufficiently small scale, the Heisenberg uncertainty principle would manifest itself in frothiness. Dr. Wolfram then proceeds to discuss inter alia the conser- vation of energy, modeling the universe, the structure of space-time, elementary particles, quantum phenomena, and gravity in terms of computer algorithms.
Recommended publications
  • A New Kind of Science; Stephen Wolfram, Wolfram Media, Inc., 2002
    A New Kind of Science; Stephen Wolfram, Wolfram Media, Inc., 2002. Almost twenty years ago, I heard Stephen Wolfram speak at a Gordon Confer- ence about cellular automata (CA) and how they can be used to model seashell patterns. He had recently made a splash with a number of important papers applying CA to a variety of physical and biological systems. His early work on CA focused on a classification of the behavior of simple one-dimensional sys- tems and he published some interesting papers suggesting that CA fall into four different classes. This was original work but from a mathematical point of view, hardly rigorous. What he was essentially claiming was that even if one adds more layers of complexity to the simple rules, one does not gain anything be- yond these four simples types of behavior (which I will describe below). After a two decade hiatus from science (during which he founded Wolfram Science, the makers of Mathematica), Wolfram has self-published his magnum opus A New Kind of Science which continues along those lines of thinking. The book itself is beautiful to look at with almost a thousand pictures, 850 pages of text and over 300 pages of detailed notes. Indeed, one might suggest that the main text is for the general public while the notes (which exceed the text in total words) are aimed at a more technical audience. The book has an associated web site complete with a glowing blurb from the publisher, quotes from the media and an interview with himself to answer questions about the book.
    [Show full text]
  • The Problem of Distributed Consensus: a Survey Stephen Wolfram*
    The Problem of Distributed Consensus: A Survey Stephen Wolfram* A survey is given of approaches to the problem of distributed consensus, focusing particularly on methods based on cellular automata and related systems. A variety of new results are given, as well as a history of the field and an extensive bibliography. Distributed consensus is of current relevance in a new generation of blockchain-related systems. In preparation for a conference entitled “Distributed Consensus with Cellular Automata and Related Systems” that we’re organizing with NKN (= “New Kind of Network”) I decided to explore the problem of distributed consensus using methods from A New Kind of Science (yes, NKN “rhymes” with NKS) as well as from the Wolfram Physics Project. A Simple Example Consider a collection of “nodes”, each one of two possible colors. We want to determine the majority or “consensus” color of the nodes, i.e. which color is the more common among the nodes. A version of this document with immediately executable code is available at writings.stephenwolfram.com/2021/05/the-problem-of-distributed-consensus Originally published May 17, 2021 *Email: [email protected] 2 | Stephen Wolfram One obvious method to find this “majority” color is just sequentially to visit each node, and tally up all the colors. But it’s potentially much more efficient if we can use a distributed algorithm, where we’re running computations in parallel across the various nodes. One possible algorithm works as follows. First connect each node to some number of neighbors. For now, we’ll just pick the neighbors according to the spatial layout of the nodes: The algorithm works in a sequence of steps, at each step updating the color of each node to be whatever the “majority color” of its neighbors is.
    [Show full text]
  • A New Kind of Science: a 15-Year View
    A New Kind of Science: A 15-Year View Stephen Wolfram Founder and CEO Wolfram Research, Inc. [email protected] Starting now, in celebration of its 15th anniversary, A New Kind of Science will be freely available in its entirety, with high-resolution images, on the web or for download. It’s now 15 years since I published my book A New Kind of Science — more than 25 since I started writing it, and more than 35 since I started working towards it. But with every passing year I feel I under- stand more about what the book is really about—and why it’s impor- tant. I wrote the book, as its title suggests, to contribute to the progress of science. But as the years have gone by, I’ve realized that the core of what’s in the book actually goes far beyond science—into many areas that will be increasingly important in defining our whole future. So, viewed from a distance of 15 years, what is the book really about? At its core, it’s about something profoundly abstract: the the- ory of all possible theories, or the universe of all possible universes. But for me one of the achievements of the book is the realization that one can explore such fundamental things concretely—by doing actual experiments in the computational universe of possible programs. And https://doi.org/10.25088/ComplexSystems.26.3.197 198 S. Wolfram in the end the book is full of what might at first seem like quite alien pictures made just by running very simple such programs.
    [Show full text]
  • Emergence and Evolution of Meaning: the General Definition of Information (GDI) Revisiting Program—Part I: the Progressive Perspective: Top-Down
    Information 2012, 3, 472-503; doi:10.3390/info3030472 OPEN ACCESS information ISSN 2078-2489 www.mdpi.com/journal/information Article Emergence and Evolution of Meaning: The General Definition of Information (GDI) Revisiting Program—Part I: The Progressive Perspective: Top-Down Rainer E. Zimmermann 1 and José M. Díaz Nafría 2,* 1 Fakultaet Studium Generale, Hochschule Muenchen, Dachauerstr. 100a, Munich, 80336, Germany; E-Mail: [email protected] 2 E.T.S. de Ingenierías, Universidad de León, Campus de Vegazana s/n, León, 24071, Spain * Author to whom correspondence should be addressed; E-Mail: [email protected]. Received: 15 June 2012; in revised form: 28 July 2012 / Accepted: 31 July 2012 / Published: 19 September 2012 Abstract: In this first part of the paper, the category of meaning is traced starting from the origin of the Universe itself as well as its very grounding in pre-geometry (the second part deals with an appropriate bottom-up approach). In contrast to many former approaches in the theories of information and also in biosemiotics, we will show that the forms of meaning emerge simultaneously (alongside) with information and energy. Hence, information can be visualized as being always meaningful (in a sense to be explicated) rather than visualizing meaning as a later specification of information within social systems only. This perspective taken has two immediate consequences: (1) We follow the GDI as defined by Floridi, though we modify it somehow as to the aspect of truthfulness. (2) We can conceptually solve Capurro’s trilemma. Hence, what we actually do is to follow the strict (i.e., optimistic) line of UTI in the sense of Hofkirchner’s.
    [Show full text]
  • The Emergence of Complexity
    The Emergence of Complexity Jochen Fromm Bibliografische Information Der Deutschen Bibliothek Die Deutsche Bibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografie; detaillierte bibliografische Daten sind im Internet über http://dnb.ddb.de abrufbar ISBN 3-89958-069-9 © 2004, kassel university press GmbH, Kassel www.upress.uni-kassel.de Umschlaggestaltung: Bettina Brand Grafikdesign, München Druck und Verarbeitung: Unidruckerei der Universität Kassel Printed in Germany Preface The main topic of this book is the emergence of complexity - how complexity suddenly appears and emerges in complex systems: from ancient cultures to modern states, from the earliest primitive eukaryotic organisms to conscious human beings, and from natural ecosystems to cultural organizations. Because life is the major source of complexity on Earth, and the develop- ment of life is described by the theory of evolution, every convincing theory about the origin of complexity must be compatible to Darwin’s theory of evolution. Evolution by natural selection is without a doubt one of the most fundamental and important scientific principles. It can only be extended. Not yet well explained are for example sudden revolutions, sometimes the process of evolution is interspersed with short revolutions. This book tries to examine the origin of these sudden (r)evolutions. Evolution is not constrained to biology. It is the basic principle behind the emergence of nearly all complex systems, including science itself. Whereas the elementary actors and fundamental agents are different in each system, the emerging properties and phenomena are often similar. Thus in an in- terdisciplinary text like this it is inevitable and indispensable to cover a wide range of subjects, from psychology to sociology, physics to geology, and molecular biology to paleontology.
    [Show full text]
  • Irreducibility and Computational Equivalence
    Hector Zenil (Ed.) Irreducibility and Computational Equivalence 10 Years After Wolfram's A New Kind of Science ~ Springer --------------"--------- Table of Contents Foreword G. Chaitin . .. VII Preface......... .................................... ....... ..... IX I Mechanisms in Programs and Nature 1. Cellular Automata: Models of the Physical World H erberl W. Franke . 3 2. On the Necessity of Complexity Joost J. Joosten ............................................... 11 3. A Lyapunov View on the Stability of Two-State Cellular Automata Jan M. Baetens, Bernard De Baets ............................. 25 II Systems Based on Numbers and Simple Programs 4. Cellular Automata and Hyperbolic Spaces Maurice Margenstern . 37 5. Symmetry and Complexity of Cellular Automata: Towards an Analytical Theory of Dynamical System Klaus Mainzer, Carl von Linde-Akademie . 47 6. A New Kind of Science: Ten Years Later David H. Bailey ............................................... 67 III Mechanisms in Biology, Social Systems and Technology 7. More Complex Complexity: Exploring the Nature of Computational Irreducibility across Physical, Biological, and Human Social Systems Brian Beckage, Stuart Kauffman, Louis J. Gross, Asim Zia, Christopher K oliba . 79 8. A New Kind of Finance Philip Z. Maymin . 89 XIV Table of Contents 9. The Relevance of Computation Irreducibility as Computation Universality in Economics K. Vela Velupillai ............................................ " 101 10. Computational Technosphere and Cellular Engineering Mark Burgin .................................................. 113 IV Fundamental P~sics 11. The Principle of a Finite Density of Information Pablo Arrighi, Gilles Dowek . .. 127 12. Do Particles Evolve? Tommaso Bolognesi .......................................... " 135 13. Artificial Cosmogenesis: A New Kind of Cosmology Clement Vidal. .. 157 V The Behavior of Systems and the Notion of Computation 14. An Incompleteness Theorem for the Natural World Rudy Rucker . .. 185 15.
    [Show full text]
  • CELLULAR AUTOMATA and APPLICATIONS 1. Introduction This
    CELLULAR AUTOMATA AND APPLICATIONS GAVIN ANDREWS 1. Introduction This paper is a study of cellular automata as computational programs and their remarkable ability to create complex behavior from simple rules. We examine a number of these simple programs in order to draw conclusions about the nature of complexity seen in the world and discuss the potential of using such programs for the purposes of modeling. The information presented within is in large part the work of mathematician Stephen Wolfram, as presented in his book A New Kind of Science[1]. Section 2 begins by introducing one-dimensional cellular automata and the four classifications of behavior that they exhibit. In sections 3 and 4 the concept of computational universality discovered by Alan Turing in the original Turing machine is introduced and shown to be present in various cellular automata that demonstrate Class IV behav- ior. The idea of computational complexity as it pertains to universality and its implications for modern science are then examined. In section 1 2 GAVIN ANDREWS 5 we discuss the challenges and advantages of modeling with cellular automata, and give several examples of current models. 2. Cellular Automata and Classifications of Complexity The one-dimensional cellular automaton exists on an infinite hori- zontal array of cells. For the purposes of this section we will look at the one-dimensional cellular automata (c.a.) with square cells that are limited to only two possible states per cell: white and black. The c.a.'s rules determine how the infinite arrangement of black and white cells will be updated from time step to time step.
    [Show full text]
  • Quick Takes on Some Ideas and Discoveries in a New Kind of Science
    Quick takes on some ideas and discoveries in A New Kind of Science Mathematical equations do not capture many of nature’s most essential mechanisms For more than three centuries, mathematical equations and methods such as calculus have been taken as the foundation for the exact sciences. There have been many profound successes, but a great many important and obvious phenomena in nature remain unexplained—especially ones where more complex forms or behavior are observed. A New Kind of Science builds a framework that shows why equations have had limitations, and how by going beyond them many new and essential mechanisms in nature can be captured. Thinking in terms of programs rather than equations opens up a new kind of science Mathematical equations correspond to particular kinds of rules. Computer programs can embody far more general rules. A New Kind of Science describes a vast array of remarkable new discoveries made by thinking in terms of programs—and how these discoveries force a rethinking of the foundations of many existing areas of science. Even extremely simple programs can produce behavior of immense complexity Everyday experience tends to make one think that it is difficult to get complex behavior, and that to do so requires complicated underlying rules. A crucial discovery in A New Kind of Science is that among programs this is not true—and that even some of the very simplest possible programs can produce behavior that in a fundamental sense is as complex as anything in our universe. There have been hints of related phenomena for a very long time, but without the conceptual framework of A New Kind of Science they have been largely ignored or misunderstood.
    [Show full text]
  • Beyond the Limits of Traditional Science: Bioregional Assessments and Natural Resource Management
    PNW Pacific Northwest INSIDE Research Station Taking Stock of Large Assessments . 2 The Genesis of a New Tool . 3 Sharpening a New Tool. 4 Are You Sure of Your Conclusions? . 4 A New Kind of Science . 4 Lessons After the Fact . 5 FINDINGS issue twenty-four / may 2000 “Science affects the way we think together.” Lewis Thomas BEYOND THE LIMITS OF TRADITIONAL SCIENCE: BIOREGIONAL ASSESSMENTS AND NATURAL RESOURCE MANAGEMENT IN SUMMARY Bioregional assessments to deal with critical, even crisis, natural resource issues have emerged as important meeting grounds of science, manage- ment, and policy across the United States. They are placing heavy demands on science, scientists, and science organizations to compile, Managers, scientists, and stakeholders continue to work more closely together to define ➢ how to better integrate scientific, technical, and social concerns into land management synthesize, and produce data, without policy. crossing the line from policy recom- “We are now entering a new resource decisions have been made over mendations to actual decisionmaking. the past 15 years, and not just in the Pacific era, in which science and Northwest. There is no blueprint for their conduct, scientists—along with managers Traditional use versus potential develop- and stakeholders—will be but lessons from past experience can ment in New England’s north woods, intimately and continuously consumptive water use versus ecological help stakeholders—Forest Service involved with natural resource values in Florida’s Everglades, old-growth policy development…However, forest habitat versus logging in the Pacific scientists, Research Stations, land Northwest, land development versus we are still very much at the species conservation in southern California.
    [Show full text]
  • Reductionism and the Universal Calculus
    Reductionism and the Universal Calculus Gopal P. Sarma∗1 1School of Medicine, Emory University, Atlanta, GA, USA Abstract In the seminal essay, \On the unreasonable effectiveness of mathematics in the physical sciences," physicist Eugene Wigner poses a fundamental philosophical question concerning the relationship between a physical system and our capacity to model its behavior with the symbolic language of mathematics. In this essay, I examine an ambitious 16th and 17th-century intellectual agenda from the perspective of Wigner's question, namely, what historian Paolo Rossi calls \the quest to create a universal language." While many elite thinkers pursued related ideas, the most inspiring and forceful was Gottfried Leibniz's effort to create a \universal calculus," a pictorial language which would transparently represent the entirety of human knowledge, as well as an associated symbolic calculus with which to model the behavior of physical systems and derive new truths. I suggest that a deeper understanding of why the efforts of Leibniz and others failed could shed light on Wigner's original question. I argue that the notion of reductionism is crucial to characterizing the failure of Leibniz's agenda, but that a decisive argument for the why the promises of this effort did not materialize is still lacking. 1 Introduction By any standard, Leibniz's effort to create a \universal calculus" should be considered one of the most ambitious intellectual agendas ever conceived. Building on his previous successes in developing the infinites- imal calculus, Leibniz aimed to extend the notion of a symbolic calculus to all domains of human thought, from law, to medicine, to biology, to theology.
    [Show full text]
  • Algorithmic Design: Pasts and Futures 199
    ALGORITHMIC DESIGN: PASTS AND FUTURES 199 Algorithmic Design: Pasts and Futures JASON VOLLEN University of Arizona Algorithmic Design technique; it is a matter of the implementation of its understanding.' Few would argue that there are profound ramifications for the discipline of architecture as the field continues to digitize. Finding an ethic within the digital process is both timely and necessary if there is to be a meaningful dialogue regarding the new natures of these emergent methodologies. In order to examine the relationship between implement and implementer, we must seek the roots of the underlying infrastructure in order to articulate the possible futures of digital design processes. A quarter century into the information age we are compelled as a discipline to enter this dialogue with the question of technologia as program; information as both a process and program for spatial, architectural solutions may be proposed as a viable source for meaningful work and form generation. Techne and Episteme Aristotelian thought suggests there is a difference between technique and technology: Technique, techne, is the momentary mastery of a precise action, the craft. Technology implies the understanding of craft, its underlying science, the episteme. The relationship is more complex; one needs to know to make, and one can have knowledge of a subiect without the ability to make within the discipline. Further, to consider the changes in design methodology as simply a Figure 1. a, Bifurcating modular ceiling vault detail matter of changes in technique is to deny the from the Palazio de Nazarres. b, c, Patterned tiles historical links between the techne and the located on lower wall.
    [Show full text]
  • A New Kind of Science: Ten Years Later
    A New Kind of Science: Ten Years Later David H. Bailey∗ May 17, 2012 It has been ten years since Stephen Wolfram published his magnum opus A New Kind of Science [14]. It is worth re-examining the book and its impact in the field. 1 Highlights of ANKS The present author personally read the book with great interest when it was first published. Of particular interest then and now are the many illustrations, par- ticularly those of the complex patterns generated by certain cellular automata systems, such as rule 30 and rule 110, as contrasted with the very regular pat- terns produced by other rules. In this regard, graphical analyses of these cellular automata rules join a select group of modern mathematical phenomena (includ- ing, for example, studies of the Mandlebrot set, chaotic iterations and certain topological manifolds) that have been studied graphically as well as analytically. In looking again at ANKS, the present author is struck today, as in 2002, with the many interesting items in the endnote section, which occupies 350 pages of two-column, small-font text. In some respects, the endnotes of ANKS constitute an encyclopedia of sorts, covering, in concise yet highly readable form, historical background, mathematical foundations and scientific connections of a wide variety of topics related to modern-day computing. Much of this material remains as cogent and interesting today as when it was written over ten years ago. Some of the particularly interesting endnote passages are the following: 1. Wolfram's entry on \History of experimental mathematics" (pg. 899) con- tains a number of interesting insights on the practice of using computers as exploratory tools in mathematics.
    [Show full text]