Cognitive Systems

Total Page:16

File Type:pdf, Size:1020Kb

Cognitive Systems Cognitive Systems a cybernetic perspective on the new science of the mind Francis Heylighen Lecture Notes 2012-2013 ECCO: Evolution, Complexity and Cognition - Vrije Universiteit Brussel TABLE OF CONTENTS INTRODUCTION ........................................................................................................................................................4 What is cognition? ................................................................................................................................................4 The naive view of cognition..................................................................................................................................5 The need for a systems view ...............................................................................................................................10 CLASSICAL APPROACHES TO COGNITION ........................................................................................................11 A brief history of epistemology ..........................................................................................................................11 From behaviorism to cognitive psychology.......................................................................................................14 Problem solving ..................................................................................................................................................19 Symbolic Artificial Intelligence..........................................................................................................................25 The symbolic paradigm for cognitive science...................................................................................................31 Shortcomings of the symbolic paradigm ...........................................................................................................31 NEW APPROACHES TO COGNITION ....................................................................................................................36 Connectionism.....................................................................................................................................................36 Constructivism.....................................................................................................................................................42 Situated and Embodied Cognition .....................................................................................................................48 Implementing Situated Cognition.......................................................................................................................51 - 1 - THE SYSTEMS VIEW OF COGNITION ..................................................................................................................55 Summary of previous developments...................................................................................................................55 Basic concepts of systems theory .......................................................................................................................57 Control systems ...................................................................................................................................................58 REACTIVE AGENTS................................................................................................................................................65 Condition-action rules ........................................................................................................................................65 Braitenberg vehicles ...........................................................................................................................................67 Stigmergic coordination between rules .............................................................................................................69 Reinforcement learning ......................................................................................................................................72 ANTICIPATORY AGENTS ......................................................................................................................................74 State-determined systems....................................................................................................................................74 Implementation as a connectionist network ......................................................................................................76 Anticipation .........................................................................................................................................................80 Bootstrapping of conceptions.............................................................................................................................84 Associative learning............................................................................................................................................87 SYMBOLIC THOUGHT............................................................................................................................................90 Extending working memory................................................................................................................................90 Symbolic representations....................................................................................................................................92 From symbols to rational thinking.....................................................................................................................96 CONSCIOUSNESS AND FEELING ..........................................................................................................................99 Introduction.........................................................................................................................................................99 Degrees of consciousness ...................................................................................................................................99 Consciousness of change................................................................................................................................. 103 Access consciousness....................................................................................................................................... 108 The global workspace model of consciousness.............................................................................................. 110 Phenomenal consciousness ............................................................................................................................. 114 Emotions ........................................................................................................................................................... 117 BOUNDED RATIONALITY AND COGNITIVE BIASES ..................................................................................... 120 Rationality and its limitations ......................................................................................................................... 120 Towards a connectionist theory of cognitive biases ...................................................................................... 122 Conclusion........................................................................................................................................................ 127 - 2 - INDIVIDUAL DIFFERENCES ............................................................................................................................... 129 Differences in cognitive competence .............................................................................................................. 129 The g-factor ...................................................................................................................................................... 133 Interaction between intelligence and motivation........................................................................................... 136 Problems of the gifted...................................................................................................................................... 139 COLLECTIVE COGNITION .................................................................................................................................. 140 Collective intelligence ..................................................................................................................................... 140 Meme propagation ........................................................................................................................................... 144 Distributed cognition ....................................................................................................................................... 149 Towards a global brain ................................................................................................................................... 153 CONCLUSION: THE NEW SCIENCE OF THE MIND........................................................................................... 155 The origin of cognitive science ....................................................................................................................... 155 The symbolic paradigm for cognition............................................................................................................. 155 The extended mind ..........................................................................................................................................
Recommended publications
  • Neuro Informatics 2020
    Neuro Informatics 2019 September 1-2 Warsaw, Poland PROGRAM BOOK What is INCF? About INCF INCF is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD to establish international coordination and collaborative informatics infrastructure for neuroscience. INCF is hosted by Karolinska Institutet and the Royal Institute of Technology in Stockholm, Sweden. INCF currently has Governing and Associate Nodes spanning 4 continents, with an extended network comprising organizations, individual researchers, industry, and publishers. INCF promotes the implementation of neuroinformatics and aims to advance data reuse and reproducibility in global brain research by: • developing and endorsing community standards and best practices • leading the development and provision of training and educational resources in neuroinformatics • promoting open science and the sharing of data and other resources • partnering with international stakeholders to promote neuroinformatics at global, national and local levels • engaging scientific, clinical, technical, industry, and funding partners in colla- borative, community-driven projects INCF supports the FAIR (Findable Accessible Interoperable Reusable) principles, and strives to implement them across all deliverables and activities. Learn more: incf.org neuroinformatics2019.org 2 Welcome Welcome to the 12th INCF Congress in Warsaw! It makes me very happy that a decade after the 2nd INCF Congress in Plzen, Czech Republic took place, for the second time in Central Europe, the meeting comes to Warsaw. The global neuroinformatics scenery has changed dramatically over these years. With the European Human Brain Project, the US BRAIN Initiative, Japanese Brain/ MINDS initiative, and many others world-wide, neuroinformatics is alive more than ever, responding to the demands set forth by the modern brain studies.
    [Show full text]
  • Generative Models, Structural Similarity, and Mental Representation
    The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation Daniel George Williams Trinity Hall College University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy August 2018 The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation Daniel Williams Abstract I outline and defend a theory of mental representation based on three ideas that I extract from the work of the mid-twentieth century philosopher, psychologist, and cybernetician Kenneth Craik: first, an account of mental representation in terms of idealised models that capitalize on structural similarity to their targets; second, an appreciation of prediction as the core function of such models; and third, a regulatory understanding of brain function. I clarify and elaborate on each of these ideas, relate them to contemporary advances in neuroscience and machine learning, and favourably contrast a predictive model-based theory of mental representation with other prominent accounts of the nature, importance, and functions of mental representations in cognitive science and philosophy. For Marcella Montagnese Preface Declaration This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except as declared in the Preface and specified in the text. It is not substantially the same as any that I have submitted, or, is being concurrently submitted for a degree or diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text. I further state that no substantial part of my dissertation has already been submitted, or, is being concurrently submitted for any such degree, diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text.
    [Show full text]
  • The Artist's Emergent Journey the Metaphysics of Henri Bergson, and Also Those by Eric Voegelin Against Gnosticism2
    Vol 1 No 2 (Autumn 2020) Online: jps.library.utoronto.ca/index.php/nexj Visit our WebBlog: newexplorations.net The Artist’s Emergent Journey Clinton Ignatov—The McLuhan Institute—[email protected] To examine computers as a medium in the style of Marshall McLuhan, we must understand the origins of his own perceptions on the nature of media and his deep-seated religious impetus for their development. First we will uncover McLuhan’s reasoning in his description of the artist and the occult origins of his categories of hot and cool media. This will prepare us to recognize these categories when they are reformulated by cyberneticist Norbert Wiener and ethnographer Sherry Turkle. Then, as we consider the roles “black boxes” play in contemporary art and theory, many ways of bringing McLuhan’s insights on space perception and the role of the artist up to date for the work of defining and explaining cyberspace will be demonstrated. Through this work the paradoxical morality of McLuhan’s decision to not make moral value judgments will have been made clear. Introduction In order to bring Marshall McLuhan into the 21st century it is insufficient to retrieve his public persona. This particular character, performed in the ‘60s and ‘70s on the global theater’s world stage, was tailored to the audiences of its time. For our purposes today, we’ve no option but an audacious attempt to retrieve, as best we can, the whole man. To these ends, while examining the media of our time, we will strive to delicately reconstruct the human-scale McLuhan from what has been left in both his public and private written corpus.
    [Show full text]
  • Intelligence Without Reason
    Intelligence Without Reason Rodney A. Brooks MIT Artificial Intelligence Lab 545 Technology Square Cambridge, MA 02139, USA Abstract certain modus operandi over the years, which includes a particular set of conventions on how the inputs and out- Computers and Thought are the two categories puts to thought and reasoning are to be handled (e.g., that together define Artificial Intelligence as a the subfield of knowledge representation), and the sorts discipline. It is generally accepted that work in of things that thought and reasoning do (e.g,, planning, Artificial Intelligence over the last thirty years problem solving, etc.). 1 will argue that these conven­ has had a strong influence on aspects of com- tions cannot account for large aspects of what goes into puter architectures. In this paper we also make intelligence. Furthermore, without those aspects the va­ the converse claim; that the state of computer lidity of the traditional Artificial Intelligence approaches architecture has been a strong influence on our comes into question. I will also argue that much of the models of thought. The Von Neumann model of landmark work on thought has been influenced by the computation has lead Artificial Intelligence in technological constraints of the available computers, and particular directions. Intelligence in biological thereafter these consequences have often mistakenly be­ systems is completely different. Recent work in come enshrined as principles, long after the original im­ behavior-based Artificial Intelligence has pro­ petus has disappeared. duced new models of intelligence that are much closer in spirit to biological systems. The non- From an evolutionary stance, human level intelligence Von Neumann computational models they use did not suddenly leap onto the scene.
    [Show full text]
  • Neurorobotics Lecture
    Neurorobotics An introduction Marc-Oliver Gewaltig In this lecture you’ll learn 1. What is Neurorobotics 2. Examples of simple neurorobots 1. attraction and avoidance 2. reflexes vs. learned behavior 3. The sensory-motor loop 4. Learning in neurorobotics 1. unsupervised learning for sensory representations 2. reinforcement learning for action learning What is Neurorobotics Neurorobotics, is the combined study of neuroscience, robotics, and artificial intelligence. It is the science and technology of embodied autonomous neural systems. https://en.wikipedia.org/wiki/Neurorobotics Neurorobotics: Embodied in silico neuroscience Spinal Cord Reconstructed Reflexes spinal cord/ CDPs brain models Embodiment and virtual environments Musculo-skeletal system – compliant actuators and mechanics Starting simple: Valentino Braitenberg’s Vehicles Valentino Braitenberg (1926-2011) Braitenberg, V. (1984). Vehicles: Experiments in Photo: Alfred Wegener, commons.wikimedia.org synthetic psychology. Cambridge, MA: MIT Press. Vehicle 1 1 Vehicle 2a 1 2a Vehicle 2b 1 2a 2b Vehicle 3 1 2a 2b 3 Vehicle 3 1 2a 2b 3 Exercise How will vehicle 3 move? Generalizing the Braitenberg vehicle Exercise Using weights in {-1,+1}, which weight configurations implement the vehicles 2a, 2b, and 2c? speed light Biological and Non-biological bodies Sensors: cameras, microphones, etc Artificial brain with neurons Servo motors with wheels Biological and Non-biological bodies Sensors: cameras, microphones, etc encode Artificial brain with neurons Servo motors with wheels Biological and Non-biological bodies Sensors: cameras, microphones, etc encode Artificial brain with neurons Servo motors with wheels decode Perception Action Vision Behaviors Hearing Smell Action Central pattern generators Touch Perception Reflexes Temperature Vestibular Muscle contraction Proprioception Perception Short-term Long-term Action memory memory Drives & Working Vision Cognitive Motivation memory control Action Behaviors Sensor Reward & selection Hearing fusion punish.
    [Show full text]
  • Downloaded” to a Computer Than to Answer Questions About Emotions, Which Will Organize Their World
    Between an Animal and a Machine MODERNITY IN QUESTION STUDIES IN PHILOSOPHY AND HISTORY OF IDEAS Edited by Małgorzata Kowalska VOLUME 10 Paweł Majewski Between an Animal and a Machine Stanisław Lem’s Technological Utopia Translation from Polish by Olga Kaczmarek Bibliographic Information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the internet at http://dnb.d-nb.de. Library of Congress Cataloging-in-Publication Data A CIP catalog record for this book has been applied for at the Library of Congress. The Publication is founded by Ministry of Science and Higher Education of the Republic of Poland as a part of the National Programme for the Development of the Humanities. This publication reflects the views only of the authors, and the Ministry cannot be held responsible for any use which may be made of the information contained therein. ISSN 2193-3421 E-ISBN 978-3-653-06830-6 (E-PDF) E-ISBN 978-3-631-71024-1 (EPUB) E-ISBN 978-3-631-71025-8 (MOBI) DOI 10.3726/978-3-653-06830-6 Open Access: This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 4.0 unported license. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/ © Paweł Majewski, 2018 . Peter Lang – Berlin · Bern · Bruxelles · New York · Oxford · Warszawa · Wien This publication has been peer reviewed. www.peterlang.com Contents Introduction ........................................................................................................ 9 Lemology Pure and Applied ............................................................................. 9 Part One Dialogues – Cybernetics as an Anthropology ........................................
    [Show full text]
  • Cg 2014 Alexander D. Morgan ALL RIGHTS RESERVED
    c 2014 Alexander D. Morgan ALL RIGHTS RESERVED ON THE MATTER OF MEMORY: NEURAL COMPUTATION AND THE MECHANISMS OF INTENTIONAL AGENCY by ALEXANDER D. MORGAN A dissertation submitted to the Graduate School-New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Doctor of Philosophy Graduate Program in Philosophy written under the direction of Frances Egan and Robert Matthews and approved by New Brunswick, New Jersey May 2014 ABSTRACT OF THE DISSERTATION On the Matter of Memory: Neural Computation and the Mechanisms of Intentional Agency by ALEXANDER D. MORGAN Dissertation Directors: Frances Egan & Robert Matthews Humans and other animals are intentional agents; they are capable of acting in ways that are caused and explained by their reasons. Reasons are widely held to be medi- ated by mental representations, but it is notoriously difficult to understand how the intentional content of mental representations could causally explain action. Thus there is a puzzle about how to `naturalize' intentional agency. The present work is motivated by the conviction that this puzzle will be solved by elucidating the neural mechanisms that mediate the cognitive capacities that are distinctive of intentional agency. Two main obstacles stand in the way of developing such a project, which are both manifestations of a widespread sentiment that, as Jerry Fodor once put it, \notions like computational state and representation aren't accessible in the language of neu- roscience". First, C. Randy Gallistel has argued extensively that the mechanisms posited by neuroscientists cannot function as representations in an engineering sense, since they allegedly cannot be manipulated by the computational operations required to generate structurally complex representations.
    [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]
  • Interview: Watching the Spiderweb
    Watching the spiderweb: Enrique Rivera. V!RUS HOW TO QUOTE THIS DOCUMENT: V!RUS Watching the spiderweb: Enrique Rivera. Interview. In V!RUS. N. 3. Sao Carlos: Nomads.usp, 2010. Available at: http://www.nomads.usp.br/virus/virus03/interview/layout.php?item=1&lang=en. The Chilean Enrique Rivera (Santiago, 1977) works on the convergence between art and digital media, from a social and political perspective since the beginning of his career. Researcher in art and cultural manager, Rivera refers the conception of his work on principles of second-order cybernetics, which includes the observer in the observed system and accepts that, from external stimuli to the system, new, non- planned interactions work to expand and enable it to overcome the limits of art. His work Cybersyn, 2006, was exhibited at the ZKM Center for Art and Media, Germany, at the Cultural Center of La Moneda Palace, Chile, and at the SantralIstanbul, Turkey. It retrieves the Cybersyn Project, 1971, commissioned by the government of Salvador Allende to interconnect Chilean public industries by a telex network controlled by a central computer so as to expedite the resolution of common problems. Cybersyn or Synco was a foreshadowing of what would be the Internet two decades later, created with the English cyberneticist Stafford Beer, who was invited by Allende to design and implement the network in the country. The high degree of the project's involvement with public interests and its democratic character of establishing direct links between the various nodes of the network - from bottom to top - explain Rivera's interest in looking for reconstruct its records and submit it to the world as a locus where the being and the becoming collide and recombine, to be continually revisited.
    [Show full text]
  • COUPLING COMPLEXITY Ecological Cybernetics As a Resource for Auq33 Nonrepresentational Moves to Action
    14 COUPLING COMPLEXITY Ecological Cybernetics as a Resource for AuQ33 Nonrepresentational Moves to Action Erica Robles-Anderson and Max Liboiron We live in an era of ecological crisis. Climate change, plastic pollution, radiation drift—our most pressing environmental concerns are on a planetary scale. They are experienced everywhere and yet they are difficult, if not impossible, to see. An extraordinary amount of resources devoted to addressing ecological crises are spent simply trying to depict these crises and trying to teach people how to properly interpret the representations. The hope is that if only the general public and policy makers could see what is happening, they would better understand, and this understanding would lead to action. Scientists, activists, and policy mak- ers advocate for higher resolution climate models and more complete descriptions of the locations and effects of ocean plastics, or radiation drift from Fukushima, or extreme weather. Bigger, better, clearer pictures are the key to informed action. They account for more variables, simulate more mechanisms, and inform the construction of better models that reflect our total understanding. This pursuit of representational fidelity aligns with the long-standing technoc- ractic legacy of what historian Paul Edwards calls “the closed world,” or “global surveillance and control through high-technology military power.”1 With the detonation of atomic bombs at the end of World War II and subsequent threats of planetary nuclear annihilation during the Cold War, it became increasingly pos- sible to imagine that humans could act at planetary scale. Such action required global infrastructures like computing networks for gathering information about everywhere.
    [Show full text]
  • Cyborgs and Space L1.2
    Cyborgs and Space L1.2 Altering man's bodily functions to meet the requirements of extraterrestrial environments would be more logical than providing an earthly environment for him in space ... Artifact-organism systems which would extend man's unconscious, self-regulatory controls are one possibility By Manfred E. Clynes and Nathan S. Kline This article is based on a paper presented under the title of "Drugs, Space and Cybernetics "at the Psych ophysiologica I Aspects of Space Flight Symposium sponsored by the AF School of Aviation Medicine in San Antonio, Tex., in May. The complete paper appeared in the Symposium proceedings, published by Columbia Univ. Press. Manfred E. CIynes has since 1956 been chief research SPACE travel challenges mankind not only technologically but also scientist at Rockland State, in spiritually, in that it invites man to take an active part in his own biological charge of the Dynamic evolution. Scientific advances of the future may thus be utilized to permit Simulation Lab. A graduate of man's existence in environments which differ radically from those the Un iv. of Melbourne, provided by nature as we know it. Australia, and bolder of an M.S. from Juilliard School, he has for The task of adapting man's body to any environment he may the past 10 years been engaged choose will be made easier by increased knowledge of homeostatic in the design and development functioning, the cybernetic aspects of which are just beginning to be of physiological instrumentation understood and investigated. In the past evolution brought about the and apparatus, ultrasonic altering of bodily functions to suit different environments.
    [Show full text]
  • Was a Neurologist with a Vast Knowledge Including a Solid Scientific and Engineering Training
    Scientiae Mathematicae Japonicae Online, e-2006, 861–863 861 ON LAWRENCE STARK AND BIOMEDICAL ENGINEERING Shiro Usui Received March 27, 2006 Abstract. We provide a brief overview of Lawrence Stark’s fundamental contribu- tions to Biomedical Engineering. Lawrence Stark (1926–2004) was a neurologist with a vast knowledge including a solid scientific and engineering training. He pioneered in what is nowadays sometimes called Biomedical Engineering, with an emphasis on the quantitative description of human brain control of movement and vision. In this note, I would like to outline some of his main achievements. Further information may be found, e.g., in [1, 2, 3] and references therein. Stark was interested in science since early childhood. He obtained B.A. at Columbia in 1945, where he majored in English, biology and zoology in only one year and a half. During the war he enrolled in the Navy, who sent him to Albany Medical College, where he earned MD in 1948. He was later awarded Sc.D.h.c. at SUNY in 1988 and Ph.D.h.c. at Tokushima University, Japan, in 1992. He received the Morlock Award in Biomedical Engineering in 1977, and the Franklin V. Taylor Award, Systems Man and Cybernetics Society in 1989. Lawrence Stark held faculty positions at Yale, 1954–1960, as an Assistant Professor of Medicine (Neurology) and Associate Physician; at Massachusetts Institute of Technology, 1960–1965, as Head of the Neurology Section of the Center for Communication Sciences, Electronic Systems Laboratory and Research Laboratory for Electronics; at the University of Illinois at Chicago Circle, 1965–1968, as Professor of Bioengineering, Neurology and Physiology and Chairman of the Biomedical Engineering Department at the Presbyterian St.
    [Show full text]