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Cybernetics

Philosophy of Science 16 (2):159-160 (1949)

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  1. Multidisciplinary creativity: the case of Herbert A. Simon.Subrata Dasgupta - 2003 - Cognitive Science 27 (5):683-707.
    In the twentieth century, no person epitomized more dramatically the “Renaissance mind” than Herbert A. Simon (1916–2001). In aworking life spanning over 60 years, Simon made seminal contributions to administrative theory, axiomatic foundations of physics, economics, sociology, econometrics, cognitive psychology, logic of scientific discovery, and artificial intelligence. Simon's life of the mind, thus, affords nothing less than a “laboratory” in which to observe and examine at close quarters the phenomenon ofmultidisciplinary creativity. In this paper, we attempt to shed some light (...)
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  • Organisational spaces and intelligent machines: A metaphorical approach to ethics. [REVIEW]Luis Monta�O. Hirose - 1995 - AI and Society 9 (1):43-56.
    This paper tackles the main changes that have taken place in the mechanical worldview of simple, self-regulating and intelligent machines, and studies their repercussions at the ethical and organisational level. These views of machines agree with the scientific, human-relations and postmodern proposals in organisation theory, in that they are in fact reflections on human nature which depend on metaphorical devices within which the machine metaphor is central.
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  • Entropy and uncertainty.Teddy Seidenfeld - 1986 - Philosophy of Science 53 (4):467-491.
    This essay is, primarily, a discussion of four results about the principle of maximizing entropy (MAXENT) and its connections with Bayesian theory. Result 1 provides a restricted equivalence between the two: where the Bayesian model for MAXENT inference uses an "a priori" probability that is uniform, and where all MAXENT constraints are limited to 0-1 expectations for simple indicator-variables. The other three results report on an inability to extend the equivalence beyond these specialized constraints. Result 2 established a sensitivity of (...)
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  • Whitehead and relativity.Francis Seaman - 1955 - Philosophy of Science 22 (3):222-226.
    When Whitehead's views of relativity are mentioned, everyone thinks of the views Whitehead published between 1919 and 1924. Concerning these views, C. D. Broad is “depressed”1 that physicists paid so little attention. And Victor Lowe has written:There is a bare possibility that Whitehead's theory of relativity may yet affect the history of science.
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  • Amplifying systems and available energy.Neil W. O'Rourke - 1955 - Philosophy of Science 22 (1):21-26.
    This paper considers combinations of frictionless mechanical amplifiers arranged in a cycle so that the amplified signal passes around through an endless chain of such systems the output of the last system being fed into the first. It appears that while each amplifier may be reversible in the absence of friction, the effect of the combination is such that the signal would be unable to pass around the cycle indefinitely, using the same energy over and over again. It is felt (...)
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  • (1 other version)From dialectic to organization: Bogdanov’s contribution to social theory.Anthony Mansueto - 1996 - Studies in East European Thought 48 (1):37 - 61.
    This paper situates Bogdanov in the context of social theory generally and socialist theory in particular. It outlines briefly the principal characteristics of his mature system, and assesses the strengths and weaknesses of his approach to the fundamental problems of social thought. The paper devotes particular attention to the problem of just how systems develop from less complex to more complex forms of organization, and evaluates Bogdanov’s solution to this problem against the background of populist, social democratic, and Leninist alternatives.
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  • (1 other version)The environmentally sustainable organization (ESO): A systems approach.Asterios G. Kefalas - 2001 - Ethics and the Environment 6 (2):90-105.
    : Few concepts have created more sound and fury than the concepts of development and environment. The difficulty associated with these concepts increases exponentially when one attempts to clarify them by adding some attributes such as concrete definitions and measurements pertaining to the quantity and quality of these concepts. This essay deals with the private, for-profit corporation as the primary agent in the process of satisfying the human struggle for survival. This agent has been the epicenter of the "development-environment" issue (...)
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  • Examining the Continuity between Life and Mind: Is There a Continuity between Autopoietic Intentionality and Representationality?Wanja Wiese & Karl J. Friston - 2021 - Philosophies 6 (1):18.
    A weak version of the life-mind continuity thesis entails that every living system also has a basic mind (with a non-representational form of intentionality). The strong version entails that the same concepts that are sufficient to explain basic minds (with non-representational states) are also central to understanding non-basic minds (with representational states). We argue that recent work on the free energy principle supports the following claims with respect to the life-mind continuity thesis: (i) there is a strong continuity between life (...)
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  • Optimality as a mathematical rhetoric for zeroes.Fred L. Bookstein - 1991 - Behavioral and Brain Sciences 14 (2):216-217.
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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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  • Task-dependent intensity/duration effects in mental chronometry.Gerald S. Wasserman - 1979 - Behavioral and Brain Sciences 2 (2):290-302.
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  • An alternative perspective on mental activity: Fourier filtering.P. G. Lillywhite - 1979 - Behavioral and Brain Sciences 2 (2):271-271.
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  • Ethology has progressed.Robert A. Hinde - 1984 - Behavioral and Brain Sciences 7 (3):391-391.
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  • Intentions as goads.David McFarland - 1983 - Behavioral and Brain Sciences 6 (3):369-370.
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  • Dennett' instrumentalism: A frog at the bottom of the mug.Patricia Smith Churchland - 1983 - Behavioral and Brain Sciences 6 (3):358-359.
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  • Quantum mechanics, amplifying processes, and living matter.Walter M. Elsasser - 1951 - Philosophy of Science 18 (4):300-326.
    A quarter of a century has elapsed since quantum mechanics was discovered. Perhaps it is not too much to say, in retrospect, that the time was ripe for this particular development. This is attested, not only by the speed with which the edifice of the theory was completed immediately following the basic discoveries of Heisenberg and Schrödinger, but also by the rapidity, well-nigh unprecedented in the history of science with which the new results were applied to almost every branch of (...)
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  • Transactional economics: John Dewey's ways of knowing and the radical subjectivism of the austrian school.Robert Mulligan - 2006 - Education and Culture 22 (2):61-82.
    The subjectivism of the Austrian school of economics is a special case of Dewey's transactional philosophy, also known as pragmatism or pragmatic epistemology. The Austrian economists Carl Friedrich Menger (1840-1921) and Ludwig von Mises (1881-1973) adopted an Aristotelian deductive approach to economic issues such as social behavior and exchange. Like Menger and Mises, Friedrich A. Hayek (1899-1992) viewed scientific knowledge, even in the social sciences, as asserting and aiming for objective certainty. Hayek was particularly critical of attempts to apply the (...)
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  • Feedback and Cybernetics: Reimaging the Body in the Age of the Cyborg.David Tomas - 1995 - Body and Society 1 (3-4):21-43.
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  • Steps Toward an Integrative Clinical Systems Psychology.Felix Tretter & Henriette Löffler-Stastka - 2018 - Frontiers in Psychology 9:394851.
    Clinical fields of the “sciences of the mind” (psychotherapy, psychiatry, etc.) lack integrative conceptual frameworks that have explanatory power. Mainly descriptive-classificatory taxonomies like DSM dominate the field. New taxonomies such as Research Domain Criteria (RDoC) aim to collect scientific knowledge regarding “systems” for “processes” of the brain. These terms have a supradisciplinary” meaning if they are considered in context of Systems Science. This field emerges as a platform of theories like general systems theory, catastrophe theory, synergetics, chaos theory, etc. It (...)
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  • Artificial Intelligence, Automation, and Social Welfare: Some Ethical and Historical Perspectives on Technological Overstatement and Hyperbole.Jo Ann Oravec - 2019 - Ethics and Social Welfare 13 (1):18-32.
    The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...)
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  • Towards Scalable Governance: Sensemaking and Cooperation in the Age of Social Media.Iyad Rahwan - 2017 - Philosophy and Technology 30 (2):161-178.
    Cybernetics, or self-governance of animal and machine, requires the ability to sense the world and to act on it in an appropriate manner. Likewise, self-governance of a human society requires groups of people to collectively sense and act on their environment. I argue that the evolution of political systems is characterized by a series of innovations that attempt to solve two ‘scalability’ problems: scaling up a group’s ability to make sense of an increasingly complex world, and to cooperate in increasingly (...)
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  • Terapia sistémica : una reformulación de sus principios básicos en términosde juegos de lenguaje.Jose Maria Ariso - 2012 - Endoxa 29:195.
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  • Totality in Movement.Carlos Cirne-Lima - 2012 - Filosofia Unisinos 13 (2 - suppl.).
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  • Two dynamic criteria for validating claims of optimality.Geoffrey F. Miller - 1991 - Behavioral and Brain Sciences 14 (2):228-229.
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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • The example of psychology: Optimism, not optimality.Daniel S. Levine - 1991 - Behavioral and Brain Sciences 14 (2):225-226.
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  • Hard times for mental activities.David A. Taylor - 1979 - Behavioral and Brain Sciences 2 (2):283-284.
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  • Is the temporal summation function a tool for analyzing mechanisms of visual behavior?Takehiro Ueno - 1979 - Behavioral and Brain Sciences 2 (2):285-286.
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  • On peripheral and central explanations of temporal summation.Dora Fix Ventura - 1979 - Behavioral and Brain Sciences 2 (2):286-287.
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  • Can the CNS resolve a delta function?Stephen Yeandle - 1979 - Behavioral and Brain Sciences 2 (2):289-289.
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  • Comparing Chronometrie methods.Michael I. Posner - 1979 - Behavioral and Brain Sciences 2 (2):276-276.
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  • Do mental events have durations?Zenon W. Pylyshyn - 1979 - Behavioral and Brain Sciences 2 (2):277-278.
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  • Sensory variables and stages of human information processing.Saul Sternberg - 1979 - Behavioral and Brain Sciences 2 (2):282-283.
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  • Lloyd Morgan's canon in evolutionary context.Michael T. Ghiselin - 1983 - Behavioral and Brain Sciences 6 (3):362-363.
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  • Probabilistic effects in data selection.Mike Oaksford, Nick Chater & Becki Grainger - 1999 - Thinking and Reasoning 5 (3):193 – 243.
    Four experiments investigated the effects of probability manipulations on the indicative four card selection task (Wason, 1966, 1968). All looked at the effects of high and low probability antecedents (p) and consequents (q) on participants' data selections when determining the truth or falsity of a conditional rule, if p then q . Experiments 1 and 2 also manipulated believability. In Experiment 1, 128 participants performed the task using rules with varied contents pretested for probability of occurrence. Probabilistic effects were observed (...)
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  • Mechanism and biological explanation.Francisco Varela & Humberto Maturana - 1972 - Philosophy of Science 39 (3):378-382.
    Machines and Biology have been, since antiquity, closely related. From the zoological figures present in astronomical simulacra, through renaissance mechanical imitations of animals, through Decartes' wind pipe nerves, to present day discussions on the computer and the brain, runs a continuous thread. In fact, the very name of mechanism for an attitude of inquiry throughout the history of Biology reveals this at a philosophical level. More often than not, mechanism is mentioned in opposition to vitalism, as an assertion of the (...)
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  • Is economics still immersed in the old concepts of the Enlightenment era?Andrzej P. Wierzbicki - 1991 - Behavioral and Brain Sciences 14 (2):236-237.
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  • Do central nonlinearities exist?William R. Uttal - 1979 - Behavioral and Brain Sciences 2 (2):286-286.
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  • International plovers or just dump brids?Carolyn A. Ristau - 1983 - Behavioral and Brain Sciences 6 (3):373-375.
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  • Filosofické souvislosti kybernetiky. K 60. výročí kybernetiky.Ladislav Tondl - 2008 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 15 (3):295-303.
    The paper presents the analysis of the philosophical roots of cybernetic thinking and its links to the important scientific trends. The programs launched by cybernetics have justified the accents placed on ‘intentionality’, ‘teleological worlds’, ‘worlds of the artificial’. The founder of cybernetics, Norbert Wiener, emphasized what he called ‘human use’ or ‘human dimensions’ of cybernetics and its applications.
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  • Autopoiesis, bucles, emergencia, variedades topológicas y una conjetura sobre la consciencia humana.José A. Sarmiento Campos - 2009 - Arbor 185 (738):871-878.
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  • The use of analogy and parable in cybernetics with emphasis upon analogies for learning and creativity.Richmond Gordon Pask - 1963 - Dialectica 17 (2-3):167-203.
    The research reported in this document has been sponsored by the Air Force Office of Scientific Research, OAR, under Contract AF61 ‐640 with the European Office of Aerospace Research, United States Air Force; by the Aeronautical Systems Division of the Air Force Systems Command, United States Air Force, through the European Office of the Office of Aerospace Research, under Contract AF61‐402, and by the US Department of the Army, through its European Research Office, under Contract No. DA‐91‐591‐EUC‐3216.
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  • A Limulus eye on cognitive psychology.Arthur L. Blumenthal - 1979 - Behavioral and Brain Sciences 2 (2):257-257.
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  • We are making good progress in the neural analysis of behaviour.David L. Macmillan - 1984 - Behavioral and Brain Sciences 7 (3):395-395.
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  • Peirce’s legacy for contemporary consciousness studies, the emergence of consciousness from qualia, and its evanescence in habits.Winfried Nöth - 2021 - Semiotica 2021 (243):49-103.
    The paper argues that contemporary consciousness studies can profit from Charles S. Peirce’s philosophy of consciousness. It confronts mainstream tendencies in contemporary consciousness studies, including those which consider consciousness as an unsolvable mystery, with Peirce’s phenomenological approach to consciousness. Peirce’s answers to the following contemporary issues are presented: phenomenological consciousness and the qualia, consciousness as self-controlled agency of humans, self-control and self-reflection, consciousness and language, self-consciousness and introspection, consciousness and the other, consciousness of nonhuman animals, and the question of a (...)
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  • Natural selection doesn't have goals, but it's the reason organisms do.Martin Daly - 1991 - Behavioral and Brain Sciences 14 (2):219-220.
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  • Belief accripton, parsimony, and rationality.John Hell - 1983 - Behavioral and Brain Sciences 6 (3):365-366.
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • Some optimality principles in evolution.James F. Crow - 1991 - Behavioral and Brain Sciences 14 (2):218-219.
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  • The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...)
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