Terms for Talking About Information and Communication
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Reading the World, Writing the Mind: Ideology, Morphogenesis, Revolution
READING THE WORLD, WRITING THE MIND: IDEOLOGY, MORPHOGENESIS, REVOLUTION by Philip Edmond Olsen A Thesis Submitted to the Faculty of The Wilkes Honors College in Partial Fulfillment of the Requirements for the Degree of Bachelor of Arts in Liberal Arts and Sciences with a Concentration in Philosophy Wilkes Honors College of Florida Atlantic University Jupiter, Florida May 2014 READING THE WORLD, WRITING THE MIND: IDEOLOGY, MORPHOGENESIS, REVOLUTION by Philip Edmond Olsen This thesis was prepared under the direction of the candidate’s thesis advisor, Dr. Daniel White, and has been approved by the members of her/his supervisory committee. It was submitted to the faculty of The Honors College and was accepted in partial fulfillment of the requirements for the degree of Bachelor of Arts in Liberal Arts and Sciences. SUPERVISORY COMMITTEE: ____________________________ Dr. Daniel White ____________________________ Dr. Michael Harrawood ______________________________ Dean Jeffrey Buller, Wilkes Honors College ___________ Date ii ACKNOWLEDGMENTS I would like to thank my thesis advisor, Dr. Daniel White, for his insight, conversation, and encouragement. I would also like to thank Dr. Michael Harrawood for giving me a lot of books and talking about philosophy with me. Finally, I would like to thank Calvin Bankert, John Carney, Alexa Robinson, Janeen Smith, and Daniel Zengotita for talking to me about things. It all helped. iii ABSTRACT Author: Philip Edmond Olsen Title: Reading the World, Writing the Mind: Ideology, Morphogenesis, Revolution Institution: Wilkes Honors College of Florida Atlantic University Thesis Advisor: Dr. Daniel White Degree: Bachelor of Arts in Liberal Arts and Sciences Concentration: Philosophy Year: 2014 In the 1960s, the French Communist thinker Louis Althusser undertook to reorient capitalistic societies toward realizing socialist ideals. -
What Is Systems Theory?
What is Systems Theory? Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science, and is a framework by which one can investigate and/or describe any group of objects that work together to produce some result. This could be a single organism, any organization or society, or any electro-mechanical or informational artifact. As a technical and general academic area of study it predominantly refers to the science of systems that resulted from Bertalanffy's General System Theory (GST), among others, in initiating what became a project of systems research and practice. Systems theoretical approaches were later appropriated in other fields, such as in the structural functionalist sociology of Talcott Parsons and Niklas Luhmann . Contents - 1 Overview - 2 History - 3 Developments in system theories - 3.1 General systems research and systems inquiry - 3.2 Cybernetics - 3.3 Complex adaptive systems - 4 Applications of system theories - 4.1 Living systems theory - 4.2 Organizational theory - 4.3 Software and computing - 4.4 Sociology and Sociocybernetics - 4.5 System dynamics - 4.6 Systems engineering - 4.7 Systems psychology - 5 See also - 6 References - 7 Further reading - 8 External links - 9 Organisations // Overview 1 / 20 What is Systems Theory? Margaret Mead was an influential figure in systems theory. Contemporary ideas from systems theory have grown with diversified areas, exemplified by the work of Béla H. Bánáthy, ecological systems with Howard T. Odum, Eugene Odum and Fritj of Capra , organizational theory and management with individuals such as Peter Senge , interdisciplinary study with areas like Human Resource Development from the work of Richard A. -
History 598, Fall 2004
Meeting Time: The seminar will meet Tuesday afternoons, 1:30-4:30, in Dickinson 211 Week I (9/14) Introduction: Jeremy Campbell, Grammatical Man Evelyn Fox Keller, Refiguring Life: Metaphors of Twentieth-Century Biology Questions and Themes Secondary Lily E. Kay, "Cybernetics, Information, Life: The Emergence of Scriptural Representations of Heredity", Configurations 5(1997), 23-91 [PU online]; and "Who Wrote the Book of Life? Information and the Transformation of Molecular Biology," Week II (9/21) Science in Context 8 (1995): 609-34. Michael S. Mahoney, "Cybernetics and Information Technology," in Companion to the The Discursive History of Modern Science, ed. R. C. Olby et al., Chap.34 [online] Rupture Karl L. Wildes and Nilo A. Lindgren, A Century of Electrical Engineering and Computer Science at MIT, 1882-1982, Parts III and IV (cf. treatment of some of the Report: Philipp v. same developments in David Mindell, Between Humans and Machines) Hilgers James Phinney Baxter, Scientists Against Time Supplementary John M.Ellis, Against Deconstruction (Princeton, 1989), Chaps. 2-3 Daniel Chandler, "Semiotics for Beginners" Primary [read for overall structure before digging in to the extent you can] Week III (9/28) Warren S. McCulloch and Walter Pitts, "A logical calculus of the ideas immanent in nervous activity", Bulletin of Mathematical Biophysics 5(1943), 115-33; repr. in Machines and Warren S. McCulloch, Embodiments of Mind (MIT, 1965), 19-39, and in Margaret A. Nervous Systems Boden (ed.), The Philosophy of Artificial Intelligence (Oxford, 1990), 22-39. Alan M. Turing, "On Computable Numbers, with an Application to Report: Perrin the Entscheidungsproblem", Proceedings of the London Mathematical Society, ser. -
Information Theory." Traditions of Systems Theory: Major Figures and Contemporary Developments
1 Do not cite. The published version of this essay is available here: Schweighauser, Philipp. "The Persistence of Information Theory." Traditions of Systems Theory: Major Figures and Contemporary Developments. Ed. Darrell P. Arnold. New York: Routledge, 2014. 21-44. See https://www.routledge.com/Traditions-of-Systems-Theory-Major-Figures-and- Contemporary-Developments/Arnold/p/book/9780415843898 Prof. Dr. Philipp Schweighauser Department of English University of Basel Nadelberg 6 4051 Basel Switzerland Information Theory When Claude E. Shannon published "A Mathematical Theory of Communication" in 1948, he could not foresee what enormous impact his findings would have on a wide variety of fields, including engineering, physics, genetics, cryptology, computer science, statistics, economics, psychology, linguistics, philosophy, and aesthetics.1 Indeed, when he learned of the scope of that impact, he was somewhat less than enthusiastic, warning his readers in "The Bandwagon" (1956) that, while "many of the concepts of information theory will prove useful in these other fields, [...] the establishing of such applications is not a trivial matter of translating words to a new domain, but rather the slow tedious process of hypothesis and experimental verification" (Shannon 1956, 3). For the author of this essay as well as my fellow contributors from the humanities and social sciences, Shannon's caveat has special pertinence. This is so because we get our understanding of information theory less from the highly technical "A Mathematical Theory -
The Unfinished Project of Theoretical Biology from a Schellingian Perspective
Swinburne Research Bank http://researchbank.swinburne.edu.au Author: Gare, A. Title: Overcoming the Newtonian paradigm: the unfinished project of theoretical biology from a Schellingian perspective Year: 2013 Journal: Progress in Biophysics and Molecular Biology Volume: 113 Issue: 1 Pages: 5-24 URL: http://doi.org/10.1016/j.pbiomolbio.2013.03.002 Copyright: Copyright © 2013 Elsevier Ltd. This is the author’s version of the work, posted here with the permission of the publisher for your personal use. No further distribution is permitted. You may also be able to access the published version from your library. The definitive version is available at: http://www.sciencedirect.com/ Swinburne University of Technology | CRICOS Provider 00111D | swinburne.edu.au Powered by TCPDF (www.tcpdf.org) ACCEPTED MANUSCRIPT 1 Overcoming the Newtonian paradigm: The unfinished project of theoretical biology from a Schellingian perspective Arran Gare* Philosophy, Faculty of Life and Social Sciences, Swinburne University, Melbourne, Australia Keywords: Reductionism; Emergence; Epigenesis; Biosemiotics; Relational biology; Teleology; Biomathics ABSTRACT: Defending Robert Rosen’s claim that in every confrontation between physics and biology it is physics that has always had to give ground, it is shown that many of the most important advances in mathematics and physics over the last two centuries have followed from Schelling’s demand for a new physics that could make the emergence of life intelligible. Consequently, while reductionism prevails in biology, many biophysicists are resolutely anti-reductionist. This history is used to identify and defend a fragmented but progressive tradition of anti-reductionist biomathematics. It is shown that the mathematico-physico-chemico morphology research program, the biosemiotics movement, and the relational biology of Rosen, although they have developed independently of each other, are built on and advance this anti-reductionist tradition of thought. -
Chapter 18: Games As Cybernetic Systems
Chapter 18: Games as Cybernetic Systems Cybernetics enforces consistency. It permits change, but the change must be orderly and abide by the rules.—Jeremy Campbell, Grammatical Man Introducing Cybernetic Systems Cyberspace. Cyberpunk. A Cyborg Manifesto. The term cybernetic has been appropriated by science fiction and technoculture to mean anything associated with computer technology. In point of fact, the field of cybernetics precedes the advent of digital computers. Mathematician Norbert Weiner coined the term "cybernetics" in his 1948 book Cybernetics or Control and Communication in the Animal and the Machine. The word is derived from the Greek word for steersman or navigator, and appropriately enough, cybernetics studies the regulation and control of systems. Cybernetics grew out of systems theory and information theory, and like these fields, cybernetics studies a range of subjects, from mechanical and electrical systems to social and biological systems. In looking at the basic principles of cybernetics, we are touching on a field filled with great debates and a rich history, a field that greatly influenced contemporary ideas about computer technology and society. This chapter can only offer a brief introduction to cybernetics, focusing on the ways dynamic systems change over time and the formal structures that allow these changes to occur. What are the rule structures that monitor change within a game system? How does a game system adjust to change over time? What constitutes feedback within a game? How can positive and negative feedback loops be used in the design of meaningful play? Within this schema on Games as Cybernetic Systems, we bring cybernetics to bear on these important game design questions. -
ED 355 570 ABSTRACT Most of What Communication Scholars Theorize
DOCUMENT RESUME ED 355 570 CS 508 098 AUTHOR Lanigan, Richard L. TITLE Roman Jakobson's Semiotic Theory of Communication. [Revised.] PUB DATE 19 Nov 91 NOTE 10p.; Revised version of a paper presented at the Annual Meeting of the Speech Communication Association (77th, Atlanta, GA, October 31-November 3, 1991). PUB TYPE Speeches/Conference Papers (150) Viewpoints (Opinion/Position Papers, Essays, etc.) (120) EDRS PRICE MFO1 /PCO1 Plus Postage. DESCRIPTORS *Communication (Thought Transfer); Information Theory; *Language Role; Models; *Semiotics IDENTIFIERS Discourse; *Jakobson (Roman) ABSTRACT For most of the 20th century, Roman Jakobson's name will have been synonymous with the definition of communication as a human science, i.e., communicology. Jakobson is the modern sourceof most of what communication scholars theorize about andpractice as human communication, and he will be the source of howcommunication scholars shall come to understand communication in the future asthe theoretical and applied use of semiotic principles of epistemology. Roman Jakobson alone offers a theory of communication(derived from Jakobson's immediate correction in 1950, on linguistic and semiotic grounds, of an ill-fated information theory) groundedin the study of human language as Aristotle's trivium of an integratedpractice of thought, speech, and inscription, i.e., logic, rhetoric,and grammar, all of which are explicated by a semiotic understandingof what it means to be human. Analysis ofJakobson's model of communication indicates that it is inherently semiotic in origin, rather than linguistic as he himself believed. (A figure representing aspectsof communication theory and information theory is attached.)(RS) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. -
An Introduction to Information Theory and Entropy
An introduction to information theory and entropy Tom Carter CSU Stanislaus http://astarte.csustan.edu/~ tom/SFI-CSSS [email protected] Complex Systems Summer School Santa Fe March 14, 2014 1 Contents . Measuring complexity 5 . Some probability ideas 9 . Basics of information theory 15 . Some entropy theory 22 . The Gibbs inequality 28 . A simple physical example (gases) 36 . Shannon's communication theory 47 . Application to Biology (genomes) 63 . Some other measures 79 . Some additional material . Examples using Bayes' Theorem 87 . Analog channels 103 . A Maximum Entropy Principle 108 . Application: Economics I 111 . Application: Economics II 117 . Application to Physics (lasers) 124 . Kullback-Leibler information measure 129 . References 135 2 The quotes } Science, wisdom, and counting } Being different { or random } Surprise, information, and miracles } Information (and hope) } H (or S) for Entropy } Thermodynamics } Language, and putting things together } Tools To topics 3 Science, wisdom, and counting \Science is organized knowledge. Wisdom is organized life." - Immanuel Kant \My own suspicion is that the universe is not only stranger than we suppose, but stranger than we can suppose." - John Haldane \Not everything that can be counted counts, and not everything that counts can be counted." - Albert Einstein (1879-1955) \The laws of probability, so true in general, so fallacious in particular ." - Edward Gibbon 4 Measuring complexity • Workers in the field of complexity face a classic problem: how can we tell that the system we are looking at is actually a complex system? (i.e., should we even be studying this system? :-) Of course, in practice, we will study the systems that interest us, for whatever reasons, so the problem identified above tends not to be a real problem. -
Engineering Theory and Mathematics in the Early Development of Information Theory
1 Engineering Theory and Mathematics in the Early Development of Information Theory Lav R. Varshney School of Electrical and Computer Engineering Cornell University information theory in the American engineering community Abstract— A historical study of the development of information and also touch on the course that information theory took in theory advancements in the first few years after Claude E. Shannon’s seminal work of 1948 is presented. The relationship the American mathematics community. As the early between strictly mathematical advances, information theoretic development of information theory was being made, social evaluations of existing communications systems, and the meanings of the nascent field were just being constructed and development of engineering theory for applications is explored. It incorporated by the two different social groups, mathematical is shown that the contributions of American communications scientists and communications engineering theorists. The engineering theorists are directly tied to the socially constructed meanings constructed had significant influence on the direction meanings of information theory held by members of the group. The role played by these engineering theorists is compared with that future developments took, both in goals and in the role of American mathematical scientists and it is also shown methodology. Mutual interaction between the two social that the early advancement of information is linked to the mutual groups was also highly influenced by these social meanings. interactions between these two social groups. In the half century since its birth, Shannon information theory has paved the way for electronic systems such as compact discs, cellular phones, and modems, all built upon the I. INTRODUCTION developments and social meanings of its first few years. -
The Work of Culture in the Age of Cybernetic Systems New Media
43. [Introduction] The Work of Culture in the Age of Cybernetic Systems New media practicioners continually borrow insights and tropes from other forms. Similarly, the study of new media is continually generating itself through borrowings from a wide variety of discourses and examples. Bill Nichols gives a virtuoso demonstration of this approach in his essay below, which draws on feminist film theory, Frankfurt School Marxism, Sherry Turkle (34), Norbert Wiener (04), Gregory Bateson, intelleCtual property law, genetics, space weaponry, and Pac‐Man. Nichols's project, in brief, is to update Walter Benjamin's famous essay "The Work of Art in the Age of Mechanical Reproduction." Benjamin's text was published in 1936, when film was young. Nichols's was published in 1988, when video games and other simulation media were young (as, indeed, they still are). Nichols discusses this shift in several ways, outlining how it represents a shift from a fetishization of the object to fetishization of the process of interaction, of simulation. Interaction offers the feeling of greater freedom, but this freedom is always placed within the confines of the larger simulating system. Nichols relates simulation to video games and genetic engineering ‐ a seemingly huge leap, but perhaps not over such a distance after all. popular interactive experiences such as PF Magic's Babyz (a project led by Andrew Stern) and Maxis's The Sims (a project led by Will Wright) go beyond liza/Doctor's simulation of human conversation to the simulation of human love relations and child rearing. These simulations are much richer than the Tamagotchi from a few years prior, and they tread much more dearly into the territory of ideology. -
Human-Interpretable Concept Learning Via Information Lattices Lav R
Human-Interpretable Concept Learning via Information Lattices Lav R. Varshney University of Illinois at Urbana-Champaign 28 February 2019 Haizi Yu H. Yu, I. Mineyev, and L. R. Varshney, “A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering,” arXiv:1807.11167 [cs.LG]. H. Yu, T. Li, and L. R. Varshney, “Probabilistic Rule Realization and Selection,” in NeurIPS 2017. H. Yu and L. R. Varshney, “Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music,” in ICLR 2017. H. Yu, L. R. Varshney, G. E. Garnett, and R. Kumar, “Learning Interpretable Musical Compositional Rules and Traces,” in ICML WHI 2016. 2 Smart sensors: modular, autonomous, reagentless, inline, minimal calibration, low-cost • On-device intelligence • Limited training data • Human interpretability [N. Kshetry and L. R. Varshney, “Optimal Wastewater Management Using Noisy Sensor Fusion,” presented at Fifth Arab-American Frontiers of Science, Engineering, and Medicine Symposium, Rabat, Morocco, Nov. 2017] 3 “Shannon himself told me that he believes the most promising new developments in information theory will come from work on very complex machines, especially from research into artificial intelligence.” [J. Campbell, Grammatical Man, 1982] [L. R. Varshney, “Mathematizing the World,” Issues in Science and Technology, vol. 35, no. 2, pp. 93–95, Winter 2019.] 4 Five meshing gears are arranged in a horizontal line much like a row of quarters on a table. If you turn the gear on the furthest left clockwise, what will the gear on the furthest right do? 5 Five meshing gears are arranged in a horizontal line much like a row of quarters on a table. -
2612C22d2fd1b5209b65ad7169
KNOWLEDGE IN THE AGE IN THE KNOWLEDGE CDSMS MARIANO ZUKERFELD KNOWLEDGE OF OF IN THE AGE DIGITAL CAPITALISM DIGITAL DIGITAL CAPITALISM An Introduction to Cognitive Materialism Knowledge in the Age of Digital Capitalism: An Introduction to Cognitive Materialism Mariano Zukerfeld Translated from Spanish by Suzanna Wylie University of Westminster Press www.uwestminsterpress.co.uk Competing interests The author declares that they have no competing interests in publishing this book. Published by University of Westminster Press 101 Cavendish Street London W1W 6XH www.uwestminsterpress.co.uk Text © Mariano Zukerfeld 2017 First published 2017 Series cover concept: Mina Bach (minabach.co.uk) Printed in the UK by Lightning Source Ltd. Print and digital versions typeset by Siliconchips Services Ltd. ISBN (Paperback): 978-1-911534-24-2 ISBN (PDF): 978-1-911534-25-9 ISBN (EPUB): 978-1-911534-26-6 ISBN (Kindle): 978-1-911534-27-3 DOI: https://doi.org/10.16997/book3 This work is licensed under the Creative Commons Attribution- NonCommer cial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. This license allows for copying and distributing the work, provid ing author attribution is clearly stated, that you are not using the material for commercial purposes, and that modified versions are not distributed. The full text of this book has been peer-reviewed to ensure high academic standards. For full review policies, see: http://www.uwestminsterpress.co.uk/site/publish/ Suggested citation: Zukerfeld, Mariano.