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Cybernetics

New York,: M.I.T. Press (1948)

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  1. Autotranscendence and Creative Organization: On Self-Creation and Self-Organization.Anders Michelsen - 2007 - Thesis Eleven 88 (1):55-75.
    This article discusses the issue of social and cultural ‘autotranscendence’ - self-production, creativity - in the debates on self-organization. The point of departure is Cornelius Castoriadis’s idea of ‘self-creation’. First, a schisma between mechanical and ontological modeling is indicated and used to introduce the idea of a ‘creative organization’. This is further discussed in relation to Jean-Pierre Dupuy’s concept of social ‘autotranscendence’ by ‘complex methodological individualism’, with particular respect to the incomprehension of the social. Following Johann P. Arnason’s treatment of (...)
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  • Participation as chaos: Lessons from the principles of complexity theory for democracy.Renee Houston - 2001 - World Futures 57 (4):315-338.
    Current organizational communication theorists and practitioners seek to remedy organizational ills by advancing democracy within the workplace. Specifically, organizational democracy has been introduced with a variety of goals in mind: improving representation, increasing job satisfaction, improving productivity, and reducing costs. Although democracy emerges in myriad forms, theorists are still uncertain as to how to involve employees in the process and produce observable results. In this article, recent developments in complexity theory are invoked to both illuminate and resolve problems on the (...)
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  • The emergence of meaning.Peter Gärdenfors - 1993 - Linguistics and Philosophy 16 (3):285 - 309.
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  • 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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  • Complexity and optimality.Dauglas A. Miller & Steven W. Zucker - 1991 - Behavioral and Brain Sciences 14 (2):227-228.
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  • Difficulties in defining “mental” in mental chronometry.Michel Treisman - 1979 - Behavioral and Brain Sciences 2 (2):284-285.
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  • Neuroethology: A call for less exclusivity and more theory.Michael A. Arbib - 1984 - Behavioral and Brain Sciences 7 (3):381.
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  • The scope and ingenuity of evolutionary systems.Dan Lloyd - 1983 - Behavioral and Brain Sciences 6 (3):368-369.
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  • Evidence for the innateness of deontic reasoning.Denise Dellarosa Cummins - 1996 - Mind and Language 11 (2):160-90.
    When reasoning about deontic rules (what one may, should, or should not do in a given set of circumstances), reasoners adopt a violation‐detection strategy, a strategy they do not adopt when reasoning about indicative rules (descriptions of purported state of affairs). I argue that this indicative‐deontic distinction constitutes a primitive in the cognitive architecture. To support this claim, I show that this distinction emerges early in development, is observed regardless of the cultural background of the reasoner, and can be selectively (...)
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  • Second-Order Recursions of First-Order Cybernetics: An “Experimental Epistemology”.Won Jeon - 2022 - Open Philosophy 5 (1):381-395.
    This article examines central tensions in cybernetics, defined as the study of self-organization, communication, automated feedback in organisms, and other distributed informational networks, from its wartime beginnings to its contemporary adaptations. By examining aspects of both first- and second-order cybernetics, the article introduces an epistemological standpoint that highlights the tension between its definition as a theory of recursion and a theory of control, prediction, and actionability. I begin by examining the historical outcomes of the Macy Conferences to provide a context (...)
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  • The quest for plausibility: A negative heuristic for science?R. W. Byrne - 1991 - Behavioral and Brain Sciences 14 (2):217-218.
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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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  • Analysis signatures depend both upon the analysis used and the data analyzed.James L. Zacks - 1979 - Behavioral and Brain Sciences 2 (2):289-290.
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  • They are really complex when you get to know them.Irving Kupfermann - 1984 - Behavioral and Brain Sciences 7 (3):393-394.
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  • Thinking about animal thoughts.Donald R. Griffin - 1983 - Behavioral and Brain Sciences 6 (3):364-364.
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  • Embodiment and political action.Hwa Yol Jung - 1976 - World Futures 14 (4):367-388.
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  • Toward 'Complexics' as a transdiscipline.Albert Bastardas I. Boada - unknown
    The proposed transdisciplinary field of ‘complexics’ would bring together allcontemporary efforts in any specific disciplines or by any researchersspecifically devoted to constructing tools, procedures, models and conceptsintended for transversal application that are aimed at understanding andexplaining the most interwoven and dynamic phenomena of reality. Our aimneeds to be, as Morin says, not “to reduce complexity to simplicity, [but] totranslate complexity into theory”.New tools for the conception, apprehension and treatment of the data ofexperience will need to be devised to complement existing (...)
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  • The role of information systems in total quality management.Jaak Jurison - 1994 - Knowledge, Technology & Policy 7 (2):3-16.
    This paper presents a conceptual model for describing the role of information systems in a Total Quality Management (TQM) organization and contrasts it with one for a traditional business firm. The model, based on systems theory, provides a framework for understanding the principles of TQM and their effects on information systems (IS). This paper suggests that TQM introduces changes in the firm’s feedback loop and creates new requirements for the IS function. The TQM system model is also used for analyzing (...)
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  • Optimality and constraint.David A. Helweg & Herbert L. Roitblat - 1991 - Behavioral and Brain Sciences 14 (2):222-223.
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  • From neurophysiology to perception.Richard M. Warren - 1979 - Behavioral and Brain Sciences 2 (2):288-288.
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  • On Bloch's Law and “ideal observers.”.David H. Raab - 1979 - Behavioral and Brain Sciences 2 (2):278-278.
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  • Temporal summation in the auditory system.L. L. Feth - 1979 - Behavioral and Brain Sciences 2 (2):260-261.
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  • Are we ready to bootstrap neurophysiology into an understanding of perception?Ralph Norman Haber - 1979 - Behavioral and Brain Sciences 2 (2):263-264.
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  • Vertebrate neuroethology: Doomed from the start?David J. Ingle - 1984 - Behavioral and Brain Sciences 7 (3):392-393.
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  • Resurrecting Lorenz's hydraulic model: Phlogiston explained by quantum mechanics.C. H. F. Rowell - 1984 - Behavioral and Brain Sciences 7 (3):397-398.
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  • A better way to deal with selection.B. F. Skinner - 1983 - Behavioral and Brain Sciences 6 (3):377-378.
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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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  • The structure of multi‐stasis: On the evolution of self‐organizing systems.Hu Tao - 1993 - World Futures 37 (1):1-28.
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  • Rational agents, real people and the quest for optimality.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (2):232-232.
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  • Avoid the push-pull dilemma in explanation.Kenneth M. Steele - 1991 - Behavioral and Brain Sciences 14 (2):233-234.
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  • Natural science, social science and optimality.Oleg Larichev - 1991 - Behavioral and Brain Sciences 14 (2):224-225.
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  • Straining the word “optimal”.James E. Mazur - 1991 - Behavioral and Brain Sciences 14 (2):227-227.
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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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  • Cellular analysis of behavior and cognition.R. J. W. Mansfield - 1979 - Behavioral and Brain Sciences 2 (2):272-272.
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  • Disregarding vertebrates is neither useful nor necessary.Günter Ehret - 1984 - Behavioral and Brain Sciences 7 (3):385-386.
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  • Hoyle's new view of neuroethology: Limited and restrictive.J. P. Ewert - 1984 - Behavioral and Brain Sciences 7 (3):386-387.
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  • Neuroethology according to Hoyle.Russell D. Fernald - 1984 - Behavioral and Brain Sciences 7 (3):387-388.
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  • Ethology has progressed.Robert A. Hinde - 1984 - Behavioral and Brain Sciences 7 (3):391-391.
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  • Neuroethology: Not losing sight of behaviour.Aubrey Manning - 1984 - Behavioral and Brain Sciences 7 (3):395-396.
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  • Taking the intentional stance seriously.Daniel C. Dennett - 1983 - Behavioral and Brain Sciences 6 (3):379-390.
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  • Dennett' “Panglossian paradigm”.Alison Jolly - 1983 - Behavioral and Brain Sciences 6 (3):366-367.
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  • Elementary errors about evolution.Richard C. Lewontin - 1983 - Behavioral and Brain Sciences 6 (3):367-368.
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  • From AI to cybernetics.Keizo Sato - 1991 - AI and Society 5 (2):155-161.
    Well-known critics of AI such as Hubert Dreyfus and Michael Polanyi tend to confuse cybernetics with AI. Such a confusion is quite misleading and should not be overlooked. In the first place, cybernetics is not vulnerable to criticism of AI as cognitivistic and behaviouristic. In the second place, AI researchers are recommended to consider the cybernetics approach as a way of overcoming the limitations of cognitivism and behaviourism.
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  • What is context for? Syntax in a non-abstract world.Tom Sgouros - 2005 - Journal of Logic, Language and Information 14 (2):235-251.
    An explanation for the uncertain progress of formalist linguistics is sought in an examination of the concept of syntax. The idea of analyzing language formally was made possible by developments in 20th century logic. It has been pointed out by many that the analogy between natural language and a formal system may be imperfect, but the objection made here is that the very concept of syntax, when applied to any non-abstract system of communication, is flawed as it is commonly used. (...)
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  • On Time, Information and Life.O. Costa Beauregard - 1968 - Dialectica 22 (3-4):187-205.
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  • Metaphorical “networks” and verbal communication.Marcel Danesi - 2003 - Sign Systems Studies 31 (2):341-363.
    This paper presents the notion that verbal discourse is structured, in form and contents, by metaphorical reasoning. It discusses the concept of “metaphorical network” as a framework for relating the parts of a speech act to each other, since such an act seems to cohere into a meaningful text on the basis of “domains” that deliver common concepts. The basic finding of several research projects on this concept suggest that source domains allow speakers to derive sense from a verbal interaction (...)
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  • 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 for (...)
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  • Complex Adaptive Systems and Global Capitalism: The Risk of a New Ideology of Global Complexity.Alvaro Malaina - 2014 - World Futures 70 (8):469-485.
    Since the foundation of the Santa Fe Institute, the new science of complex adaptive systems has seen extraordinary development, breaking with previous, more epistemological, trends in complexity theory. This article makes a critique of CAS as a model of the current global complexity. Its basic model, the cellular automaton, which focuses on the interactive dynamics among components, ignores the nature of any complex system as constructed by the observer/actor and is unable to explain the sociohistorical construction of the agents/subjects and (...)
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  • The representation of egocentric space in the posterior parietal cortex.J. F. Stein - 1992 - Behavioral and Brain Sciences 15 (4):691-700.
    The posterior parietal cortex (PPC) is the most likely site where egocentric spatial relationships are represented in the brain. PPC cells receive visual, auditory, somaesthetic, and vestibular sensory inputs; oculomotor, head, limb, and body motor signals; and strong motivational projections from the limbic system. Their discharge increases not only when an animal moves towards a sensory target, but also when it directs its attention to it. PPC lesions have the opposite effect: sensory inattention and neglect. The PPC does not seem (...)
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  • Don't just sit there, optimise something.J. H. P. Paelinck - 1991 - Behavioral and Brain Sciences 14 (2):230-230.
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