For Biological Systems, Maintaining Essential Variables Within Viability Limits Is Not Passive

Total Page:16

File Type:pdf, Size:1020Kb

For Biological Systems, Maintaining Essential Variables Within Viability Limits Is Not Passive Second-Order Cybernetics Maintaining Essential Variables Is Not Passive Matthew Egbert « 8 » Proponents of the enactive ap- sible failure to do so will necessarily result “ the survival standard itself is inadequate for proach agree that the homeostat’s double in the homeostat’s death” (§10). However, at the evaluation of life. If mere assurance of per- feedback architecture made an important the level of its physical body, an organism is manence were the point that mattered, life should contribution, but at the same time they always far-from-equilibrium with respect to not have started out in the first place. It is essen- struggle to overcome its limitations (Ike- its environment. Falling into an equilibrium tially precarious and corruptible being, an ad- gami & Suzuki 2008). Franchi briefly refers is the same as dying, because the organism venture in mortality, and in no possible form as to evolutionary robotics models inspired by would lose its ability to do the work of self- assured of enduring as an inorganic body can be. this ultrastability mechanism, but he does producing its own material identity, i.e., the Not duration as such, but ‘duration of what?’ is the not mention that further progress has been very process that ensures that the double question.” (Jonas 2001: 106) difficult. Ezequiel Di Paolo (2003) showed feedback loop between behavior and inter- that implementing Ashby’s mechanism is a nal homeostasis is intrinsically connected Tom Froese graduated with a D.Phil. in cognitive science significant step toward more organism-like within a whole. Only non-living matter can from the Univ. of Sussex. He is currently a postdoctoral robots, but the contingent link between (in- be in physical equilibrium with its environ- researcher at the National Autonomous University of ternal) homeostatic mechanisms and (ex- ment. Franchi conflates the living with the Mexico. He investigates the relationship between life, ternal) behavior is a continuing source of non-living in another way when he notes mind and sociality using a variety of methods, including problems. that the homeostat “will continue acting the evolutionary robotics, systems theory and phenomenology. « 9 » Switching the connections of an way it normally does until an outside force ultrastable system may in some cases lead compels it to change course of action” (§26). Received: 2 October 2013 to an adaptive re-organization of original This is precisely the way in which Newton’s Accepted: 18 October 2013 behavior, as Franchi’s model of two self-con- first law of motion describes the behavior of nected homeostat units shows, but it is far objects. However, living beings – subjects from guaranteed in more complex systems. – can change their behavior even in the ab- It is possible that the switch is not sufficient sence of a change in external conditions. For Biological Systems, to “break” the essential variables, thereby Maintaining Essential failing to provoke an adaptive response at Overcoming the autonomy/ all, or, if adaptation does occur, the new heteronomy dichotomy Variables Within Viability equilibrium may not reestablish the origi- « 12 » Franchi enticingly hints at the Limits Is Not Passive nal behavior. From Ashby’s perspective, this possibility of a “reevaluation of the tradi- failure to recover the original behavior is not tional distinction between heteronomous Matthew Egbert a problem, since he simply equates all equi- and autonomous behavior” (Abstract). Is University of Hertfordshire, UK libriums with survival – without asking how perhaps the relational view of life defended they might differ in terms of desirability (an by the enactive approach (e.g., Di Paolo mde/at/matthewegbert.com idea that is later echoed by Maturana’s claim 2009) such a reevaluation? As I see it, there that autopoiesis does not admit gradations). is a natural development of ideas from first- > Upshot •The target article proposes « 10 » However, this neutrality is not order cybernetics via second-order cyber- that Ashby’s investigations of the ho- found in nature. For example, inverted netics toward enactive cognitive science. meostat and ultrastability lead to a view goggle experiments can be safely conducted The early approach was too heteronomous, of living systems as heteronomous, pas- 109 without any irreversible consequences to the while the second-order approach was too sive “sleeping” machines and thus are participants. How then is the appropriate re- autonomous, but the relational stance of in fundamental conflict with concepts configuration achieved? There have been a the enactive approach formulates a dialectic of autonomy developed by Jonas, Varela couple of attempts at addressing the practi- between these two extremes (Froese 2011; and others. I disagree, arguing that (1) cal problems stemming from contingent de- Froese & Stewart 2013). Relatedly, it aims the maintenance of essential variables pendencies with improved evolutionary ro- for a middle ground between the extreme of within viability limits is not a passive botics models, in particular by more closely computationalism, which explicitly repre- process for living systems and (2) the tying the desired behavior to the satisfaction sents goals, and the extreme of Ashby’s (and purpose of Ashby’s investigations of the of the homeostatic conditions (Iizuka & Di Maturana’s) insistence on absolute non-con- homeostat was to investigate adaptiv- Paolo 2008; Iizuka et al. 2013). However, tingency. Crucial for these two theoretical ity, a subject that is related to, but clearly these attempts have met with only partial shifts is to go beyond traditional theories distinct from, autonomy. As such, I find success. that portray life’s ultimate purpose, no mat- Ashby’s work on adaptivity to be neither « 11 » We need to move beyond the tra- ter whether by active or passive means, as in opposition to nor in direct support of ditional fixation on equilibrium dynamics in equilibrium, stability, or survival. As Hans modern concepts of biological autono- order to make real progress on these issues. Jonas recognized, only when we face up to my and suggest that a productive way According to Franchi, an Ashbyan organ- the essential precariousness of living exis- forward involves the investigation of the ism is continuously required to behave so as tence can we hope to understand the mean- intersection between these two funda- to go to equilibrium, since “its always pos- ing of life: mental properties of living systems. http://www.univie.ac.at/constructivism/journal/9/1/093.franchi « 1 » Stefano Franchi distinguishes be- the homeostat can generate but, other than « 6 » Nowhere is the necessity of activ- tween models of objects, which are used to that, he seems to agree: ity for the maintenance of essential vari- evaluate the accuracy of our understanding ables more evident than in living systems. of real-world systems, and models of con- “ the main source of resistance to Ashby’s the- All organisms are far-from-equilibrium cepts, which are used to refine, explore or sis about life lies […] in its effort to derive action dissipative structures that require ongo- explain theoretical constructs. He observes, from non-action [and this] means something ing acquisition of energetic and material rightly, that the two approaches are not in- philosophically far more disturbing: the homeo- resources to counteract their degradation compatible and can in fact be complemen- stat will act as much as is needed in order to go (Gánti 2003; Schrödinger 1944). If we think tary, provided that they are not conflated.2 back to sleep. It will go to extraordinary lengths, about archetypal essential variables, such as I agree with Franchi that the homeostat is it will take whatever action it can – just in order body temperature or the levels of sugar and most productive when it is considered as to go back to rest (i.e., to equilibrium).” (§10, oxygen in the blood, it is clear that these all a model of a concept rather than a model emphasis in original) require ongoing organismic activity if they ICS of the brain. However, I may disagree with are to be maintained within viability limits. Franchi over what concept the homeostat is « 4 » Here, Franchi is suggesting that To assume the maintenance of these within NET R intended to be a model of. because the homeostat “derives action from viability limits as being passive is a mistake. E B « 2 » I see the homeostat as a system non-action,” it is passive; but there is some « 7 » This leads to why I disagree with CY for investigating adaptivity. “How does the confusing language used here that I believe the proposition in §§13–14 that Ashby’s R brain produce adaptive behaviour?” is the leads to an incorrect view of the homeostat work opposes the relatively recent frame- DE opening sentence of Ross Ashby’s Design as passive. In particular, there is a confla- works developed for studying autonomy. R for a Brain (1960), and, in my view, the goal tion with the idea of (1) a variable being at a Ashby developed a framework for defining, ND-O of the book. Franchi appears to have a dif- steady state (a concept that is more general describing and studying adaptive behaviour. ferent interpretation, seeing the homeostat than that of equilibrium and that allows for Hans Jonas, and later Francisco Varela and CO as targeting a broad view of life: “Ashby’s stability, i.e., an absence of change, at con- Humberto Maturana, developed conceptual N SE device is a proxy for a view of life as gen- ditions that are far away from equilibrium) frameworks for understanding how a system I S eralized homeostasis, whose principles it and (2) the system being inactive, passive, can be autonomous, how its own needs can T P embodies” (§11). I will argue below that or “asleep.” The homeostat is capable of the emerge and how these can be satisfied by the E C if the homeostat is seen as targeting “just” former, but is described in the quote above system itself.
Recommended publications
  • Introduction to Robotics. Sensors and Actuators
    Introduction to Computer Vision and Robotics Florian Teich and Tomas Kulvicius* Introduction to Robotics. Sensors and Actuators Large portion of slides are adopted from Florentin Wörgötter, John Hallam and Simon Reich *[email protected] Perception-Action loop Environment Object Eyes Action Perception Arm Brain Perception-Action loop (cont.) Environment Sense Object Cameras Action Perception Robot-arm Computer Act Plan Outline of the course • L1.CV1: Introduction to Computer Vision. Thresholding, Filtering & Connected Coomponents • L2.CV2: Bilateral Filtering, Morphological Operators & Edge Detection • L3.CV3: Corner Detection & Non-Local Filtering • L4.R1: Introduction to Robotics. Sensors and actuators • L5.R2: Movement generation methods • L6.R3: Path planning algorithms • L7.CV4: Line/Circle Detection, Template Matching & Feature Detection • L8.CV5: Segmentation • L9.CV6: Fate Detection, Pedestrian Tracking & Computer Vision in 3D • L10.R4: Robot kinematics and control • L11.R5: Learning algorithms in robotics I: Supervised and unsupervised learning • L12.R6: Learning algorithms in robotics II: Reinforcement learning and genetic algorithms Introduction to Robotics History of robotics • Karel Čapek was one of the most influential Czech writers of the 20th century and a Nobel Prize nominee (1936). • He introduced and made popular the frequently used international word robot, which first appeared in his play R.U.R. (Rossum's Universal Robots) in 1921. 1890-1938 • “Robot” comes from the Czech word “robota”, meaning “forced labor” • Karel named his brother Josef Čapek as the true inventor of the word robot. History of robotics (cont.) • The word "robotics" also comes from science fiction - it first appeared in the short story "Runaround" (1942) by American writer Isaac Asimov.
    [Show full text]
  • 1 Jeffrey Gu, Nicolas Wilmer Professor Evan Donahue ISS390S 12/7/18 the Evolution of the Roomba and the AI Field Recently, the C
    1 Jeffrey Gu, Nicolas Wilmer Professor Evan Donahue ISS390S 12/7/18 The Evolution of the Roomba and the AI Field Recently, the consumer marketplace has been flooded with a number of intelligent technologies, including many that integrate virtual assistants such as Amazon’s Alexa and Apple’s Siri. Even household appliances like Samsung’s newest refrigerators integrate “smart” technologies. For many in the tech world, artificial intelligence (AI) has long represented the future of cybernetics and technology. For many years, however, AI technologies were not marketed to the average consumer. Rather, most AI companies were focused on corporate, military and governmental applications. Thus, there seemed to be a marked difference in expectations for AI between ordinary people and those involved in the AI field. When asked about the potential of AI, many people would passionately discuss its future applications in education and healthcare.1 However, Mitch Waldrop during a panel discussion featuring several prominent figures in the AI field noted that these applications “seem to be in roughly the inverse priority to what AI people give these subjects.”2 This disconnect began to disappear in 2002, when iRobot, a company founded in 1990 by three former MIT AI Lab scientists, released the Roomba, a robot that autonomously roams and cleans the floors of your house. The commercial success of the Roomba and its business model brought the AI conversation to households around the world. 1 McDermott, Drew, M. Mitchell Waldrop, B. Chandrasekaran, John McDermott, and Roger Schank. 1985. “The Dark Ages of AI: A Panel Discussion at AAAI-84.” AI Magazine 6 (3): 122–122.
    [Show full text]
  • The Cybernetic Brain
    THE CYBERNETIC BRAIN THE CYBERNETIC BRAIN SKETCHES OF ANOTHER FUTURE Andrew Pickering THE UNIVERSITY OF CHICAGO PRESS CHICAGO AND LONDON ANDREW PICKERING IS PROFESSOR OF SOCIOLOGY AND PHILOSOPHY AT THE UNIVERSITY OF EXETER. HIS BOOKS INCLUDE CONSTRUCTING QUARKS: A SO- CIOLOGICAL HISTORY OF PARTICLE PHYSICS, THE MANGLE OF PRACTICE: TIME, AGENCY, AND SCIENCE, AND SCIENCE AS PRACTICE AND CULTURE, A L L PUBLISHED BY THE UNIVERSITY OF CHICAGO PRESS, AND THE MANGLE IN PRAC- TICE: SCIENCE, SOCIETY, AND BECOMING (COEDITED WITH KEITH GUZIK). THE UNIVERSITY OF CHICAGO PRESS, CHICAGO 60637 THE UNIVERSITY OF CHICAGO PRESS, LTD., LONDON © 2010 BY THE UNIVERSITY OF CHICAGO ALL RIGHTS RESERVED. PUBLISHED 2010 PRINTED IN THE UNITED STATES OF AMERICA 19 18 17 16 15 14 13 12 11 10 1 2 3 4 5 ISBN-13: 978-0-226-66789-8 (CLOTH) ISBN-10: 0-226-66789-8 (CLOTH) Library of Congress Cataloging-in-Publication Data Pickering, Andrew. The cybernetic brain : sketches of another future / Andrew Pickering. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-226-66789-8 (cloth : alk. paper) ISBN-10: 0-226-66789-8 (cloth : alk. paper) 1. Cybernetics. 2. Cybernetics—History. 3. Brain. 4. Self-organizing systems. I. Title. Q310.P53 2010 003’.5—dc22 2009023367 a THE PAPER USED IN THIS PUBLICATION MEETS THE MINIMUM REQUIREMENTS OF THE AMERICAN NATIONAL STANDARD FOR INFORMATION SCIENCES—PERMA- NENCE OF PAPER FOR PRINTED LIBRARY MATERIALS, ANSI Z39.48-1992. DEDICATION For Jane F. CONTENTS Acknowledgments / ix 1. The Adaptive Brain / 1 2. Ontological Theater / 17 PART 1: PSYCHIATRY TO CYBERNETICS 3.
    [Show full text]
  • Boden Grey Walter's
    Grey Walter’s Anticipatory Tortoises Margaret Boden Grey Walter and the Ratio Club The British physiologist William Grey Walter (1910–1977) was an early member of the interdisciplinary Ratio Club. This was a small dining club that met several times a year from 1949 to 1955, with a nostalgic final meeting in 1958, at London’s National Hospital for Neurological Diseases. The founder-secretary was the neurosurgeon John Bates, who had worked (alongside the psychologist Kenneth Craik) on servomechanisms for gun turrets during the war. The club was a pioneering source of ideas in what Norbert Wiener had recently dubbed ‘cybernetics’.1 Indeed, Bates’ archive shows that the letter inviting membership spoke of ‘people who had Wiener’s ideas before Wiener’s book appeared’.2 In fact, its founders had considered calling it the Craik Club, in memory of Craik’s work—not least, his stress on ‘synthetic’ models of psychological theories.3 In short, the club was the nucleus of a thriving British tradition of cybernetics, started independently of the transatlantic version. The Ratio members—about twenty at any given time—were a very carefully chosen group. Several of them had been involved in wartime signals research or intelligence work at Bletchley Park, where Alan Turing had used primitive computers to decipher the Nazis’ Enigma code.4 They were drawn from a wide range of disciplines: clinical psychiatry and neurology, physiology, neuroanatomy, mathematics/statistics, physics, astrophysics, and the new areas of control engineering and computer science.5 The aim was to discuss novel ideas: their own, and those of guests—such as Warren McCulloch.
    [Show full text]
  • Kunst Und Kybernetik“
    DIPLOMARBEIT Titel der Diplomarbeit „Kunst und Kybernetik“ Verfasserin Felicia Hönig angestrebter akademischer Grad Magistra der Philosophie (Mag. phil.) Wien, im September 2008 Studienkennzahl lt. Studienblatt A296 Studienrichtung lt. Studienblatt Philosophie Betreuer: Ao. Univ. –Prof. Dr. Herbert Hrachovec Inhalt Vorwort .......................................................................................5 1. Einleitung................................................................................7 2. Kybernetik, der Anfang.........................................................11 2.1. Der Begriff .................................................................................12 2.2. Norbert Wiener ..........................................................................14 2.3. Die Bausteine des Theorie-Werdens, drei Publikationen aus den 1940er Jahren...........................................................................15 2.3.1. Norbert Wiener, Arturo Rosenblueth, and Julian Bigelow , 1943, „Behavior, Purpose and Teleology“, Philosophy of Science 10: 18-24. ........................................................................................................ 15 2.3.2. Warren McCulloch, Walter Pitts: „A Logical Calculus of the Ideas Immanent in Nervous Activity“. In: Bulletin of Mathematical Biophysics 5 (1943) 115-133........................................................... 18 2.3.3. C. E. Shannon, „A mathematical theory of communication“, Bell System Technical Journal, vol. 27, pp. 379-423 and 623-656, July and October,
    [Show full text]
  • The Biological Turn in Computation, Communication, and Control
    Vital Networks: The Biological Turn in Computation, Communication, and Control By Sandra Robinson A thesis submitted to the Graduate Program in Sociology in conformity with the requirements for the Degree of Doctor of Philosophy Queen’s University Kingston, Ontario, Canada January 2014 Copyright © Sandra Robinson, 2014 Abstract Networks, such as the Internet, are comprised of dense information flows with expansive, multi-directional reach that continuously change—and this changeability is what keeps the network active, relative, and vital. I call the form of network exhibiting those dynamic features the vital network. This form of network is not simply the outcome of connectivity and communication between diverse affiliative objects and actors such as cell phones and humans that together convey a sense or feeling of ‘aliveness;’ it is the outcome of deliberate software programming goals for communication systems inspired by nonhuman, self-organizing biological life. The biological turn in computation produces an organizing logic for the vital network that self-propagates connections and disconnections, services, collectives, and structures proximal to forms that feel vital and dynamic. The vital network can do things, it has capacities to act, and different material consequences emerge out of the organization and coordination of communication with particular implications for human privacy, autonomy, and network transparency. In this dissertation, I examine the biological turn in computing as a crucial feature within a development program for the design of digital network control systems that rely on self-regulation and autonomous communication processes intentionally constructed to be non-transparent—to be unseen. I explore nonhuman models of control as a response to this requirement considered through three objects: microbe, simulation, and control, each understood in process terms that disclose what these things do and how they act.
    [Show full text]
  • The First Biologically Inspired Robots Owen Holland
    Robotica (2003) volume 21, pp. 351–363. © 2003 Cambridge University Press DOI: 10.1017/S0263574703004971 Printed in the United Kingdom The first biologically inspired robots Owen Holland Department of Computer Science, University of Essex, Wivenhoe Park, Colchester CO4 3SQ (UK). E-mail: [email protected] (Received in Final Form: June 15, 2002) SUMMARY Star. After attending Westminster School, he studied Thie first biologically inspired robots, the famous electro- physiology at Cambridge, and began his research career in mechanical tortoises, were designed and built in 1949 by W. neurophysiology with a dissertation on ‘Conduction in Grey Walter. This paper reviews their origins in Walter’s Nerve and Muscle’. In 1935 he became interested in the new theories of the brain and the nature of life, and uses area of electroencephalography, and quickly showed a talent contemporary unpublished notes and photographs to assess for developing new electronic equipment, which he used to their significance then and now. make a series of fundamental technical and clinical discoveries. In 1939 he was appointed Director of Physiol- ogy at the newly founded Burden Neurological Institute KEYWORDS: First biological robots; Robot tortoises. (BNI) in Bristol; he remained there for the rest of his career. His war work involved him in a variety of activities, including the development of radar, and the use of humans INTRODUCTION in control loops. After the war he recruited a brilliant group Most articles and books on the history of robotics make only 1,2,3 of ex-radar engineers to work with him at the BNI; their a passing reference to Grey Walter’s robot tortoises, technical expertise, combined with Grey Walter’s vision and regarding them as quaint period curiosities quite unrelated creativity, made a major contribution to the development of to our intellectually and technically sophisticated modern electroencephalography over the next twenty years.
    [Show full text]
  • William Grey Walter and His Tortoises
    A Wizard and A Pioneer: William Grey Walter and his Tortoises Sir Winston Churchill in his history of the Second World War wrote a chapter on the “wizards” who had helped Britain win the war in the air by the development and use of radar. Sir Winston Churchill in his history of the Second World War wrote a chapter on the “wizards” who had helped Britain win the war in the air by the development and use of radar. William Grey Walter (1910-1977) was one of those young wizards. William Grey Walter William Grey Walter Neurophysiology and Brain Waves Dr. William Grey Walter contributed great improvement to the technologies of brain waves(EEG:electroencephalography). Identify the source of the alpha rhythm Hans Berger in 1929 discovered alpha wave, inferred it came from the frontal lobes William Grey Walter found the source in the occipital lobe. Invented use of delta wave to locate brain tumors This typical instrument displays the brain wave traces with an ink-writing pen on moving papers is conceived by Dr. Walter. Neurophysiology and Brain Waves Discovered contingent negative variation (CNV) This is a very slow change in electrical potential at and around the vertex of the head It was seen only after a warning signal had been given to a human subject, who would then plan a possible movement in anticipation of a second signal Observer can predict a subject will make a response half to one second ahead, before the subject is aware of an intention to act Intentional actions are initiated before awareness of such actions emerges Neurophysiology and Brain Waves Hypothesis about Alpha Wave activities The alpha represented 'scanning' by the brain in search of local centers of activity when none was present It stopped when a 'target' was found in the cortex This hypothesis was and still is controversial, but it is still not disproven Cybernetics and Robot Tortoise Brains are simpler than many of us have supposed In 1951, Dr.
    [Show full text]
  • Fact Sheet: History of Robotics
    Fact Sheet: History of Robotics www.RazorRobotics.com ≈250 B.C. - Ctesibius, an ancient Greek engineer and mathematician, invented a water clock which was the most accurate for nearly 2000 years. ≈60 A.D. - Hero of Alexandria designs the first automated programmable machine. These 'Automata' were made from a container of gradually releasing sand connected to a spindle via a string. By using different configurations of these pulleys, it was possible to repeatably move a statue on a pre-defined path. 1898 - The first radio-controlled submersible boat was invented by Nikola Tesla. 1921 - The term 'Robot' was coined by Karel Capek in the play 'Rossum's Universal Robots'. 1941 - Isaac Asimov introduced the word 'Robotics' in the science fiction short story 'Liar!' 1948 - William Grey Walter builds Elmer and Elsie, two of the earliest autonomous robots with the appearance of turtles. The robots used simple rules to produce complex behaviours. 1954 - The first silicon transistor was produced by Texas Instruments. 1956 - George Devol applied for a patent for the first programmable robot, later named 'Unimate'. 1957 - Launch of the first artificial satellite, Sputnik 1. I, Robot Turtle robot Sputnik 1 1961 - First Unimate robot installed at General Motors. Used for welding and die casting. 1965 - Gordon E. Moore introduces the concept 'Moore's law', which predicts the number of components on a single chip would double every two years. 1966 - Work began on the 'Shakey' robot at Stanford Research Institute. 'Shakey' was capable of planning, route-finding and moving objects. 1969 - The Apollo 11 mission, puts the first man on the moon.
    [Show full text]
  • Portrayals and Perceptions of AI and Why They Matter
    Portrayals and perceptions of AI and why they matter 1 Portrayals and perceptions of AI and why they matter Cover Image Turk playing chess, design by Wolfgang von Kempelen (1734 – 1804), built by Christoph 2 Portrayals and perceptions of AI and why they matter Mechel, 1769, colour engraving, circa 1780. Contents Executive summary 4 Introduction 5 Narratives and artificial intelligence 5 The AI narratives project 6 AI narratives 7 A very brief history of imagining intelligent machines 7 Embodiment 8 Extremes and control 9 Narrative and emerging technologies: lessons from previous science and technology debates 10 Implications 14 Disconnect from the reality of the technology 14 Underrepresented narratives and narrators 15 Constraints 16 The role of practitioners 20 Communicating AI 20 Reshaping AI narratives 21 The importance of dialogue 22 Annexes 24 Portrayals and perceptions of AI and why they matter 3 Executive summary The AI narratives project – a joint endeavour by the Leverhulme Centre for the Future of Intelligence and the Royal Society – has been examining how researchers, communicators, policymakers, and publics talk about artificial intelligence, and why this matters. This write-up presents an account of how AI is portrayed Narratives are essential to the development of science and perceived in the English-speaking West, with a and people’s engagement with new knowledge and new particular focus on the UK. It explores the limitations applications. Both fictional and non-fictional narratives of prevalent fictional and non-fictional narratives and have real world effects. Recent historical examples of the suggests how practitioners might move beyond them. evolution of disruptive technologies and public debates Its primary audience is professionals with an interest in with a strong science component (such as genetic public discourse about AI, including those in the media, modification, nuclear energy and climate change) offer government, academia, and industry.
    [Show full text]
  • 6 X 10.Long New.P65
    Cambridge University Press 978-0-521-19963-6 - A Cybernetic View of Biological Growth: The Maia Hypothesis Tony Stebbing Excerpt More information 1 Introduction The broadest and most complete definition of Life will be – The continu- ous adjustment of internal relations to external relations. Herbert Spencer The truths of cybernetics are not conditional on their being derived from some other branch of science. Cybernetics has its own foundations. W. Ross Ashby Among the most fertile ideas introduced into biology in recent years are those of cybernetics ... control theory obtrudes everywhere into biology. Peter B. Medawar THE DEVELOPMENT OF BIOLOGICAL CYBERNETICS I watched a kestrel from a building high on the Citadel overlooking Plymouth Sound. It hovered at arms’ length from the window in a stiff breeze, holding its position for long periods so perfectly that one could not detect the slightest movement of its head. To maintain this static hover, its wings beat quickly, varying a little in frequency and angle to adjust to the buffeting breeze, as it watched intently for any move- ment of prey on the ground below. It reminded me of Gerard Manley Hopkins’ lines from his poem The Windhover: ‘how he rung upon the rein of a wimpling wing’. Occasionally the bird sheared away: ‘then off, off forth on swing’; to return again and take up its position as before, as if to dispel any doubts I might still have of its control in the air. ‘The achieve of, the mastery of the thing!’ In the same way our control systems master the continuous variation in the environment in which we live, holding steady a host of different internal processes against the continuous fluctuation of 1 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-19963-6 - A Cybernetic View of Biological Growth: The Maia Hypothesis Tony Stebbing Excerpt More information 2 Introduction external change.
    [Show full text]
  • Anthropomorphic Machines: Alien Sensation and Experience in Nonhumans Created to Be Like Us
    Anthropomorphic machines: alien sensation and experience in nonhumans created to be like us by Tessa Gwendoline Leach ORCID 0000-0002-0560-7667 Doctor of Philosophy (Arts) June 2018 School of Historical and Philosophical Studies This thesis is submitted in total fulfilment of the requirements of the degree i Abstract This thesis is positioned at the intersection between technology studies and the nonhuman turn in the humanities. It argues that typical approaches to the study of technology omit any consideration of the alien nature of nonhuman sensation and experience. The discussion of metaphysical theory aimed at redressing this omission is grounded in this thesis in the study of specific case studies of anthropomorphic machines, objects which are typically surrounded by human-centric rhetoric. There are four main case studies presented. The first, the Microsoft Kinect for Xbox One, is a sensor designed for use in videogames. The second is the “robot tortoises” (Machina speculatrix) designed by William Grey Walter in the 1940s and 50s. The third is the language- using artificial intelligence program SHRDLU developed by Terry Winograd between 1968 and 1972. The fourth is the concept of the gynoid (female humanoid robot) and particularly the gynoid sexbot. Each of these case studies has previously been analysed in Science and Technology Studies, Cultural Studies or Engineering, and this thesis builds on this past work by giving primacy and due consideration to the alien in these anthropomorphic technologies. The thesis aims to decentre the anthropomorphic qualities of machines that are often foregrounded in both engineering and critical texts. This is done both by emphasising the alien nature of nonhuman sensation and experience, and through anthrodecentric theory and language.
    [Show full text]