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Evolution of Digital Organisms in Truly Two-Dimensional Memory Space
UKRAINIAN CATHOLIC UNIVERSITY BACHELOR THESIS Evolution of digital organisms in truly two-dimensional memory space Author: Supervisor: Mykhailo POLIAKOV Oleg FARENYUK A thesis submitted in fulfillment of the requirements for the degree of Bachelor of Science in the Department of Computer Sciences Faculty of Applied Sciences Lviv 2020 i Declaration of Authorship I, Mykhailo POLIAKOV, declare that this thesis titled, “Evolution of digital organisms in truly two-dimensional memory space” and the work presented in it are my own. I confirm that: • This work was done wholly or mainly while in candidature for a research de- gree at this University. • Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. • Where I have consulted the published work of others, this is always clearly attributed. • Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. • I have acknowledged all main sources of help. • Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed my- self. Signed: Date: ii UKRAINIAN CATHOLIC UNIVERSITY Faculty of Applied Sciences Bachelor of Science Evolution of digital organisms in truly two-dimensional memory space by Mykhailo POLIAKOV Abstract Artificial life is the field of study where researchers use simulations to understand natural life. One of the notable simulations of artificial life is called Tierra. -
Michael Behe Makes the Argument That
Opening the Black Box Throughout “Darwin’s Black Box”, Michael Behe makes the argument that Darwinian evolution can’t be used as a universal explanation for all of life, because it can’t account for irreducibly complex organisms. However, Behe also neglects to acknowledge any existing research that suggests otherwise. A study conducted at Michigan State University by scientist Richard Lenski has shown that there could be a scientific explanation for these seemingly irreducibly complex organism, and that Behe shouldn’t be so quick to point to a supernatural solution, or to call it quits so soon when his mousetrap breaks. While Behe may think he has all the answers, contrary research has shown there are other answers worth consideration. Behe begins his argument by introducing the idea of organisms that are irreducibly complex, otherwise defined as a “single system composed of several well-matched, interacting parts that contribute to the basic function of the system, wherein the removal of any one of the parts causes the system to effectively cease functioning” (Darwin’s Black Box, 39). In order to demonstrate this principle, Behe raises the example of a mousetrap. He argues that if you remove one part of a mousetrap, it will cease to function, and because of this, all of the parts must have evolved simultaneously in order for a mousetrap to exist, therefor rendering it irreducibly complex. However, is any of this really true? Besides the holes in Behe’s mousetrap argument, there also lies the fact that mousetraps are not living creatures and therefore are incapable of evolution. -
Chapter 6.Qxp
Testing Darwin Digital organisms that breed thousands of times faster than common bacteria are beginning to shed light on some of the biggest unanswered questions of evolution BY CARL ZIMMER F YOU WANT TO FIND ALIEN LIFE-FORMS, does this. Metabolism? Maybe not quite yet, but Ihold off on booking that trip to the moons of getting pretty close.” Saturn. You may only need to catch a plane to East Lansing, Michigan. One thing the digital organisms do particularly well is evolve. “Avida is not a simulation of evolu- The aliens of East Lansing are not made of car- tion; it is an instance of it,” Pennock says. “All the bon and water. They have no DNA. Billions of them core parts of the Darwinian process are there. These are quietly colonizing a cluster of 200 computers in things replicate, they mutate, they are competing the basement of the Plant and Soil Sciences building with one another. The very process of natural selec- at Michigan State University. To peer into their tion is happening there. If that’s central to the defi- world, however, you have to walk a few blocks west nition of life, then these things count.” on Wilson Road to the engineering department and visit the Digital Evolution Laboratory. Here you’ll It may seem strange to talk about a chunk of find a crew of computer scientists, biologists, and computer code in the same way you talk about a even a philosopher or two gazing at computer mon- cherry tree or a dolphin. But the more biologists itors, watching the evolution of bizarre new life- think about life, the more compelling the equation forms. -
Life's Conservation Law: Why Darwinian
William A. Dembski and Robert J. Marks II, "Life's Conservation Law: Why Darwinian Evolution Cannot Create Biological Information" in Bruce Gordon and William Dembski, editors, The Nature of Nature (Wilmington, Del.: ISI Books, 2011) pp.360-399 E F E IS an irn:volcaIJ!e selection and exclusion. as when you marry one woman you up all the so when you take one course of action you up all the other courses."4 Intelligence creates information. Bur is the causal power of Darwin's main claim to fame is that he is supposed to have a that could create informa- tion without the need intelligence. Interestingly, he to this mechanism as "natural selection." Sel.e~tion, as understood before had been an activity confined to intelligent agents. Darwll1 s great coup was to the power to nature-hence "natural selection." as conceived Darwin and his acts without is non-teleo- and therefore unintelligent. As genetlClst Coyne puts it in opposing intdlige:nt "If we're to defend we must defend it as a science: a in which the of life results from the action natural selection and on random mutations."5 But do and Darwinists insist that to count as must be non-teleological?6 did that rule come from? The of with the sciences is itselfa well-established science-it's called engineering. conceived, to the engi- ne.:::nng SCIences. 1. THE CREATION OF INFORMATION But to return to the at does nature really possess the power to select and th,>rph" create To answer this we to turn to relation between po~,sit)ilil:ies to create inlonnal:1011. -
BEACON 2011 Annual Report
BEACON Center for the Study of Evolution in Action ANNUAL REPORT November 1, 2011 For any questions regarding this report, please contact: Danielle J. Whittaker, Ph.D. Managing Director BEACON Center for the Study of Evolution in Action 1441 Biomedical and Physical Sciences Michigan State University East Lansing, MI 48824 517-884-2561 [email protected] BEACON 2011 Annual Report I. GENERAL INFORMATION Date submitted November 1, 2011 Reporting period February 1, 2011 – January 31, 2012 Name of the Center BEACON Center for the Study of Evolution in Action Name of the Center Director Erik D. Goodman Lead University Michigan State University Address 1441 Biomedical and Physical Sciences East Lansing, MI 48824 Phone Number 517-884-2555 Fax Number 517-353-7248 Center Director email [email protected] Center URL http://www.beacon-center.org Participating Institutions Institution 1 Name North Carolina A&T State University Contact Person Gerry Vernon Dozier Address Department of Computer Science 508 McNair Hall Greensboro, NC 27411 Phone Number (336) 334-7245, ext 467 Fax Number (336) 334-7244 Email Address [email protected] Role of Institution at Center Member Institution Institution 2 Name University of Idaho Contact Person James Foster Address Department of Biological Sciences Moscow, ID 83844-3051 Phone Number (208) 885-7062 Fax Number (208) 885-7905 Email Address [email protected] Role of Institution at Center Member Institution Institution 3 Name The University of Texas at Austin Contact Person Risto Miikkulainen Address Department of Computer Sciences 1 University Station D9500 Austin TX 78712-0233 Phone Number (512) 471-9571 Fax Number (512) 471-8885 Email Address [email protected] Role of Institution at Center Member Institution Institution 4 Name University of Washington Contact Person Benjamin Kerr Address Department of Biology Box 351800 Seattle, WA 98195 Phone Number (206)-221-3996 Fax Number Email Address [email protected] Role of Institution at Center Member Institution BEACON 2011 Annual Report I. -
The Landscape of Innovation in Bacteria, Battleships, and Beyond Downloaded by Guest on October 1, 2021 Thus, Fig
SPECIAL FEATURE: PERSPECTIVE The landscape of innovation in bacteria, battleships, and beyond SPECIAL FEATURE: PERSPECTIVE Terence C. Burnhama,b,1 and Michael Travisanoc,d,1,2 Edited by Simon A. Levin, Princeton University, Princeton, NJ, and approved November 18, 2020 (received for review August 12, 2020) We draw lessons from microbial experimental evolution and naval warfare to improve the understanding of innovation in financial markets. Major financial innovations often arise without explicit societal planning because novel approaches can be favored by markets, in a manner strikingly parallel to natural selection. We utilize the concept of an adaptive landscape to characterize environments that increase the speed and magnitude of innovation. We apply this adaptive landscape framework to innovation in portfolio management. We create a general taxonomy for understanding and nurturing innovation. adaptation | experimental evolution | finance | innovation What environmental characteristics favor innovation? relationship between design and performance. Con- We begin with an examination of innovation evident in sequently, both battleship and bacterial innovation naval warfare, primarily the design and function of can be represented in a similar adaptive landscape. battleships. Improvements in battleships suggest that We draw general lessons regarding approaches to fierce competition fosters innovation. innovation, aided by the adaptive landscape repre- While the battleship heuristic appears straightfor- sentation. The goal is to understand innovation in ward, the study of any historical set of innovations has finance and other domains. From this perspective, we the challenge of disentangling causation from corre- analyze one area of finance: the management of lation. Without a time machine, we cannot be sure of investment portfolios. -
Experiments in Digital Evolution Christoph Adami∗ Claus O
Experiments in Digital Evolution Christoph Adami∗ Claus O. Wilke (Editors’ Introduction to the Digital Life Laboratory 136-93 Special Issue) California Institute of Technology Pasadena, CA 91125 {adami,wilke}@caltech.edu Whether or not the field of artificial life has succeeded in doing what its name sug- gests, namely synthesizing life from non-living components, is a matter of contention. Clearly, this journal covers a broad range of topics related to the synthesis and sim- ulation of living systems, but only a few articles go so far as to unabashedly study wholly artificial forms of life. The field of digital evolution is an exception: Artificial life forms, in the form of self-replicating computer code inhabiting specially prepared areas of a standard computer, have been used to learn about fundamental aspects of the evolutionary process since Tom Ray introduced us to them [23]. In this issue, we present experiments using digital organisms of the Avida variety (that is, implemented with the Avida software described in this issue [20]), but there are a number of other implementations of digital evolution that have been used for experimental evolution (see, e.g., [31, 32, 22, 5]). Whether or not these digitals are truly alive is ultimately of no concern to us as researchers: We use them because we are interested in complicated and vexing questions of evolutionary biology, and digitals offer us the possibility to attack them. Digital evolution is currently undergoing a boom phase, and public perception of this discipline is steadily increasing [21]. This boom can be traced back in part to a maturation of the Avida software used in the majority of digital evolution experiments, in part to a perceived need for rigor in evolution experiments [7], and in part to the adoption of digitals as experimental organisms alongside bacteria and viruses by a growing number of microbiologists (see, e.g., [16]). -
Editorial on Digital Organism
Editorial Journal of Computer Science & Volume 13:6, 2020 DOI: 10.37421/jcsb.2020.13.325 Systems Biology ISSN: 0974-7230 Open Access Editorial on Digital Organism Chinthala Mounica* Department of Computer Science, Osmania University, India a growing number of evolutionary biologists. Evolutionary biologist Richard Editorial Note Lenski of Michigan State University has used Avida extensively in his work. Lenski, Adami, and their colleagues have published in journals such as Nature An advanced creature is a self-duplicating PC program that changes and and the Proceedings of the National Academy of Sciences (USA). Digital develops. Advanced creatures are utilized as an apparatus to contemplate the organisms can be traced back to the game Darwin, developed in 1961 at elements of Darwinian development, and to test or check explicit speculations Bell Labs, in which computer programs had to compete with each other by or numerical models of development. The investigation of computerized trying to stop others from executing. A similar implementation that followed creatures is firmly identified with the region of counterfeit life. this was the game Core War. In Core War, it turned out that one of the winning Digital organisms can be traced back to the game Darwin, developed in strategies was to replicate as fast as possible, which deprived the opponent of 1961 at Bell Labs, in which computer programs had to compete with each other all computational resources. Programs in the Core War game were also able to by trying to stop others from executing. A similar implementation that followed mutate themselves and each other by overwriting instructions in the simulated this was the game Core War. -
Open-Ended Artificial Evolution
February 6, 2008 18:23 WSPC/157-IJCIA alife-complexity-ijcia OPEN-ENDED ARTIFICIAL EVOLUTION RUSSELL K. STANDISH High Performance Computing Support Unit, University of New South Wales 2052, Australia [email protected], http://parallel.hpc.unsw.edu.au/rks Of all the issues discussed at Alife VII: Looking Forward, Looking Backward, the issue of whether it was possible to create an artificial life system that exhibits open-ended evolution of novelty is by far the biggest. Of the 14 open problems settled on as a result of debate at the conference, some 6 are directly, or indirectly related to this issue. Most people equate open-ended evolution with complexity growth, although a priori these seem to be different things. In this paper I report on experiments to measure the complexity of Tierran organisms, and show the results for a size-neutral run of Tierra. In this run, no increase in organismal complexity was observed, although organism size did increase through the run. This result is discussed, offering some signposts on path to solving the issue of open ended evolution. 1. Introduction An open discussion forum was conducted recently at Alife VII to draw up a list of open problems that might guide the field of artificial life in the coming years, styled on the famous Hilbert problems that guided much of Mathematics in the 20th century. The resulting list3 contains 14 open problems, divided into 3 categories: How does life arise from the non-living; What are the potentials and limits of living systems; How is life related to mind, machine and culture. -
Arxiv:1803.03453V4 [Cs.NE] 21 Nov 2019
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Joel Lehman1†, Jeff Clune1, 2†, Dusan Misevic3†, Christoph Adami4, Lee Altenberg5, Julie Beaulieu6, Peter J Bentley7, Samuel Bernard8, Guillaume Beslon9, David M Bryson4, Patryk Chrabaszcz11, Nick Cheney2, Antoine Cully12, Stephane Doncieux13, Fred C Dyer4, Kai Olav Ellefsen14, Robert Feldt15, Stephan Fischer16, Stephanie Forrest17, Antoine Fr´enoy18, Christian Gagn´e6 Leni Le Goff13, Laura M Grabowski19, Babak Hodjat20, Frank Hutter11, Laurent Keller21, Carole Knibbe9, Peter Krcah22, Richard E Lenski4, Hod Lipson23, Robert MacCurdy24, Carlos Maestre13, Risto Miikkulainen26, Sara Mitri21, David E Moriarty27, Jean-Baptiste Mouret28, Anh Nguyen2, Charles Ofria4, Marc Parizeau 6, David Parsons9, Robert T Pennock4, William F Punch4, Thomas S Ray29, Marc Schoenauer30, Eric Schulte17, Karl Sims, Kenneth O Stanley1,31, Fran¸coisTaddei3, Danesh Tarapore32, Simon Thibault6, Westley Weimer33, Richard Watson34, Jason Yosinski1 †Organizing lead authors 1 Uber AI Labs, San Francisco, CA, USA 2 University of Wyoming, Laramie, WY, USA 3 Center for Research and Interdisciplinarity, Paris, France 4 Michigan State University, East Lansing, MI, USA 5 Univeristy of Hawai‘i at Manoa, HI, USA 6 Universit´eLaval, Quebec City, Quebec, Canada 7 University College London, London, UK 8 INRIA, Institut Camille Jordan, CNRS, UMR5208, 69622 Villeurbanne, France 9 Universit´ede Lyon, INRIA, CNRS, LIRIS UMR5205, INSA, UCBL, -
Week 4: Evolution: Genetics, Epigenetics and the Environment May 8, 2018
1 Week 4: Evolution: Genetics, Epigenetics and the Environment May 8, 2018 “Imagine landing a time machine 3 billion years ago in shallow costal waters. The first thing you notice is that the sky is not blue, but a dull hazy red, a touch reminiscent of Mars. The quiet seas reflect in shades of red. It’s pleasantly warm in this haze, if too misty to see the sun clearly. On land not much catches the eye. The rocks are bare, with damp patches of discoloration here and there, bacteria clinging precariously to their extreme terrestrial outpost. There’s no grass or vegetation of any sort. But marching through the shallow waters are scores of strange domes of greenish rock. Apparently the work of life, the tallest are a metre or so high. A few familiar rare structures are still found in the most remote and inaccessible bays on earth today: stromatolites. Nothing else stirs the waters. There’s no fish here, no seaweed, no scuttling crabs, no waving anemones. Take off your oxygen mask, and you’ll soon understand why: you’ll suffocate in minutes. There’s barely any oxygen, even close to the stromatolites. Yet their blue- green bacteria, cyanobacteria, are already beginning to lace the air with traces of that hazardous gas. In a billion years, their emissions will finally turn our planet vivid green and blue. And only then will we recognize this bare place as home.” From Lane N. (2009) Life Ascending: The Ten Great Inventions of Evolution, W.W. Norton & Company, New York London, Page 263*** 2 Introduction One of my favorite BBC programs is based on the veterinarian James Herriot’s book series, ‘All Creatures Great & Small.’ The story chronicles the adventures of Herriot and his colleagues in a rural, mostly large animal veterinarian practice in York in the 1930’s through to the 1950’s. -
Bibliographic and Annotated List of Peer-Reviewed Publications Supporting Intelligent Design
BIBLIOGRAPHIC AND ANNOTATED LIST OF PEER-REVIEWED PUBLICATIONS SUPPORTING INTELLIGENT DESIGN UPDATED JULY, 2017 PART I: INTRODUCTION While intelligent design (ID) research is a new scientific field, recent years have been a period of encouraging growth, producing a strong record of peer-reviewed scientific publications. In 2011, the ID movement counted its 50th peer-reviewed scientific paper and new publications continue to appear. As of 2015, the peer-reviewed scientific publication count had reached 90. Many of these papers are recent, published since 2004, when Discovery Institute senior fellow Stephen Meyer published a groundbreaking paper advocating ID in the journal Proceedings of the Biological Society of Washington. There are multiple hubs of ID-related research. Biologic Institute, led by molecular biologist Doug Axe, is “developing and testing the scientific case for intelligent design in biology.” Biologic conducts laboratory and theoretical research on the origin and role of information in biology, the fine-tuning of the universe for life, and methods of detecting design in nature. Another ID research group is the Evolutionary Informatics Lab, founded by senior Discovery Institute fellow William Dembski along with Robert Marks, Distinguished Professor of Electrical and Computer Engineering at Baylor University. Their lab has attracted graduate-student researchers and published multiple peer-reviewed articles in technical science and engineering journals showing that computer programming “points to the need for an ultimate information source qua intelligent designer.” Other pro-ID scientists around the world are publishing peer-reviewed pro-ID scientific papers. These include biologist Ralph Seelke at the University of Wisconsin Superior, Wolf-Ekkehard Lönnig who recently retired from the Max Planck Institute for Plant Breeding Research in Germany, and Lehigh University biochemist Michael Behe.