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An introduction to cybernetics

New York,: J. Wiley (1956)

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  1. From language shift to language revitalization and sustainability. A complexity approach to linguistic ecology.Albert Bastardas-Boada - 2019 - Barcelona, Spain: Edicions de la Universitat de Barcelona.
    This book aims to contribute to the overall, integrated understanding of the processes of language contact and their evolution, be they the result of political or economic (dis)integrations or migrations or for technological reasons. Via an interdisciplinary, holistic approach, it also aims to aid the theoretical grounding of a unified, common sociolinguistic paradigm, based on an ecological and complexical perspective. This perspective is based on the fact that linguistic structures do not live in isolation from their social functions and must (...)
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  • Basic issues in AI policy.Vincent C. Müller - 2022 - In Maria Amparo Grau-Ruiz (ed.), Interactive robotics: Legal, ethical, social and economic aspects. Springer. pp. 3-9.
    This extended abstract summarises some of the basic points of AI ethics and policy as they present themselves now. We explain the notion of AI, the main ethical issues in AI and the main policy aims and means.
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  • A short primer on situated cognition.Philip Robbins & Murat Aydede - 2009 - In Murat Aydede & P. Robbins (eds.), The Cambridge Handbook of Situated Cognition. Cambridge: Cambridge University Press. pp. 3--10.
    Introductory Chapter to the _Cambridge Handbook of Situated Cognition_ (CUP, 2009).
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  • Engineering's baby.Daniel C. Dennett - 1986 - Behavioral and Brain Sciences 9 (1):141-142.
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  • Sketch for a Theory of Evolution Based on Coding.Joachim De Beule - 2014 - Biosemiotics 7 (2):181-201.
    At the heart of evolutionary theory lays the notion of replication. Unfortunately, this notion is far less exact than the weight of its importance. In this paper, it is argued that replication always involves coding. Furthermore, when a theory of evolution is built on replication based on coding, a unifying and coherent picture arises that sheds new light on some of the controversies and open questions in contemporary biology, such as what are the roles of phylogeny and ontogeny in evolution, (...)
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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  • Replicators, consequences, and displacement activities.Richard Dawkins - 1984 - Behavioral and Brain Sciences 7 (4):486-487.
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  • Organisms, scientists and optimality.Michael Davison - 1991 - Behavioral and Brain Sciences 14 (2):220-221.
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  • Communication theory and intentionality.John G. Daugman - 1986 - Behavioral and Brain Sciences 9 (1):140-141.
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  • Robots for the rest of us or the 'best' of us?Peter Danielson - 1999 - Ethics and Information Technology 1 (1):75-81.
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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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  • Skinner, selection, and self-control.Bo Dahlbom - 1984 - Behavioral and Brain Sciences 7 (4):484-486.
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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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  • Semantic content: In defense of a network approach.Paul M. Churchland - 1986 - Behavioral and Brain Sciences 9 (1):139-140.
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  • A quantum theory of causality.Peter Caws - 1963 - Synthese 15 (1):317 - 326.
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  • Behaviorism and natural selection.C. B. G. Campbell - 1984 - Behavioral and Brain Sciences 7 (4):484-484.
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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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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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  • How does it work?: The search for explanatory mechanisms.Mario Bunge - 2004 - Philosophy of the Social Sciences 34 (2):182-210.
    This article addresses the following problems: What is a mechanism, how can it be discovered, and what is the role of the knowledge of mechanisms in scientific explanation and technological control? The proposed answers are these. A mechanism is one of the processes in a concrete system that makes it what it is — for example, metabolism in cells, interneuronal connections in brains, work in factories and offices, research in laboratories, and litigation in courts of law. Because mechanisms are largely (...)
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  • Not an alternative model for intentionality in vision.R. Brown, D. C. Earle & S. E. G. Lea - 1986 - Behavioral and Brain Sciences 9 (1):138-139.
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  • A synthesis and a practical approach to complex systems.Nicolas Brodu - 2009 - Complexity 15 (1):36-60.
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  • B. F. Skinner: A dissident view.Kenneth E. Boulding - 1984 - Behavioral and Brain Sciences 7 (4):483-484.
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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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  • On the status of causal modes.Robert C. Bolles - 1984 - Behavioral and Brain Sciences 7 (4):482-483.
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  • Discovery as correction.James Blachowicz - 1987 - Synthese 71 (3):235 - 321.
    In recent years, there have been some attempts to defend the legitimacy of a non-inductive generative logic of discovery whose strategy is to analyze a variety of constraints on the actual generation of explanatory hypotheses. These proposed new theories, however, are only weakly generative (relying on sophisticated processes of elimination) rather than strongly generative (embodying processes of correction).This paper develops a strongly generative theory which holds that we can come to know something new only as a variant of what we (...)
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  • Systems biology reveals biology of systems.Marta Bertolaso, Alessandro Giuliani & Laura De Gara - 2011 - Complexity 16 (6):10-16.
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  • Vision without Frames: A Semiotic Paradigm of Event Based Computer Vision. [REVIEW]Ryad Benosman - 2010 - Biosemiotics 3 (1):1-16.
    Conventional imagers and almost all vision processes use and rely on theories that are based on the principle of static image-frames. A frame is a 2D matrix that represents the spatial locations of intensities of a scene projected on the imager. The notion of a frame itself is so embedded in machine vision, that it is usually taken for granted that this is how biological systems store light information. This paper presents a biosinpired event-based image formation principle, which output data (...)
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  • Complexity and intersubjectivity: Towards the theory of Niklas Luhmann. [REVIEW]John Bednarz - 1984 - Human Studies 7 (3-4):55-69.
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  • Skinner on selection – A case study of intellectual isolation.George W. Barlow - 1984 - Behavioral and Brain Sciences 7 (4):481-482.
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  • Optimality as an evaluative standard in the study of decision-making.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (2):216-216.
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  • Multiscale variety in complex systems.Yaneer Bar-Yam - 2004 - Complexity 9 (4):37-45.
    The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of complex systems. This review introduces some of the basic principles of complex systems science, including complexity profiles, the tradeoff between efficiency and adaptability, the necessity of matching the complexity of systems to that of their environments, multiscale analysis, and evolutionary processes. (...)
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  • Computationally tractable pairwise complexity profile.Yaneer Bar‐Yam & Dion Harmon - 2013 - Complexity 18 (5):20-27.
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  • Biological levers and extended adaptationism.Gillian Barker - 2008 - Biology and Philosophy 23 (1):1-25.
    Two critiques of simple adaptationism are distinguished: anti-adaptationism and extended adaptationism. Adaptationists and anti-adaptationists share the presumption that an evolutionary explanation should identify the dominant simple cause of the evolutionary outcome to be explained. A consideration of extended-adaptationist models such as coevolution, niche construction and extended phenotypes reveals the inappropriateness of this presumption in explaining the evolution of certain important kinds of features—those that play particular roles in the regulation of organic processes, especially behavior. These biological or behavioral ‘levers’ are (...)
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  • Using complexity to promote group learning in health care.Holly Arrow & Kelly B. Henry - 2010 - Journal of Evaluation in Clinical Practice 16 (4):861-866.
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  • Optimality and human memory.John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (2):215-216.
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  • Three Generations of Complexity Theories: Nuances and ambiguities.Michel Alhadeff-Jones - 2008 - Educational Philosophy and Theory 40 (1):66-82.
    The contemporary use of the term ‘complexity’ frequently indicates that it is considered a unified concept. This may lead to a neglect of the range of different theories that deal with the implications related to the notion of complexity. This paper, integrating both the English and the Latin traditions of research associated with this notion, suggests a more nuanced use of the term, thereby avoiding simplification of the concept to some of its dominant expressions only. The paper further explores the (...)
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  • Social Ontology.Brian Epstein - 2018 - Stanford Encyclopedia of Philosophy.
    Social ontology is the study of the nature and properties of the social world. It is concerned with analyzing the various entities in the world that arise from social interaction. -/- A prominent topic in social ontology is the analysis of social groups. Do social groups exist at all? If so, what sorts of entities are they, and how are they created? Is a social group distinct from the collection of people who are its members, and if so, how is (...)
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  • Philosophisch-anthropologische Überlegungen angesichts „Deep Learning“: Intransparente und eigenständige Systeme als Herausforderung für das Selbstverständnis des Menschen?Raphael Salvi - 2021 - In Gotlind Ulshöfer, Peter G. Kirchschläger & Markus Huppenbauer (eds.), Digitalisierung aus theologischer und ethischer Perspektive. Nomos. pp. 285-305.
    Abstract of of the anthology: Digitalisation encompasses all areas of life and is thus also relevant for theology and the Church. This is not just about the possible uses of social media; in this anthology, digitalisation is understood as a phenomenon that shapes society, the Church and theology with the help of various technologies, such as artificial intelligence. In this context, theology and the Church represent places of digitalisation on the one hand, and, at the same time, the discourse on (...)
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  • Why the Mind is Not in the Head but in the Society's Connectionist Network.Roland Fischer - 1990 - Diogenes 38 (151):1-28.
    Nothing seems more possible to me than that people some day will come to the definite opinion that there is no copy in the… nervous system which corresponds to a particular thought, or a particular idea, or, memory.WittgensteinIn a recent essay it was emphasized that brain and mind appear to the mind as complementary and reciprocally recursive domains of a hermeneutic circle (Fischer, 1987). An outstanding and not yet recognized feature of this hermeneutic circle is that interpretation within this circle (...)
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  • Giving up the ghost.William Vaughan - 1984 - Behavioral and Brain Sciences 7 (4):501-501.
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  • Selection by consequences: A universal causal mode?William Timberlake - 1984 - Behavioral and Brain Sciences 7 (4):499-501.
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  • Perspectives by consequences.Duane M. Rumbaugh - 1984 - Behavioral and Brain Sciences 7 (4):496-497.
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  • Group and individual effects in selection.Marvin Harris - 1984 - Behavioral and Brain Sciences 7 (4):490-491.
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  • The emancipation of thought and culture from their original material substrates.Michael T. Ghiselin - 1984 - Behavioral and Brain Sciences 7 (4):489-489.
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  • Skinner – The Darwin of ontogeny?John W. Donahoe - 1984 - Behavioral and Brain Sciences 7 (4):487-488.
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  • Selection by consequences.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):477-481.
    Human behavior is the joint product of (i) contingencies of survival responsible for natural selection, and (ii) contingencies of reinforcement responsible for the repertoires of individuals, including (iii) the special contingencies maintained by an evolved social environment. Selection by consequences is a causal mode found only in living things, or in machines made by living things. It was first recognized in natural selection: Reproduction, a first consequence, led to the evolution of cells, organs, and organisms reproducing themselves under increasingly diverse (...)
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  • Complexity and language contact: A socio-cognitive framework.Albert Bastardas-Boada - 2017 - In Salikoko S. Mufwene, François Pellegrino & Christophe Coupé (eds.), Complexity in language. Developmental and evolutionary perspectives. Cambridge University Press. pp. 218-243.
    Throughout most of the 20th century, analytical and reductionist approaches have dominated in biological, social, and humanistic sciences, including linguistics and communication. We generally believed we could account for fundamental phenomena in invoking basic elemental units. Although the amount of knowledge generated was certainly impressive, we have also seen limitations of this approach. Discovering the sound formants of human languages, for example, has allowed us to know vital aspects of the ‘material’ plane of verbal codes, but it tells us little (...)
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  • C. S. Peirce and Intersemiotic Translation.Joao Queiroz & Daniella Aguiar - 2015 - In Peter Pericles Trifonas (ed.), International Handbook of Semiotics. Dordrecht: Springer. pp. 201-215.
    Intersemiotic translation (IT) was defined by Roman Jakobson (The Translation Studies Reader, Routledge, London, p. 114, 2000) as “transmutation of signs”—“an interpretation of verbal signs by means of signs of nonverbal sign systems.” Despite its theoretical relevance, and in spite of the frequency in which it is practiced, the phenomenon remains virtually unexplored in terms of conceptual modeling, especially from a semiotic perspective. Our approach is based on two premises: (i) IT is fundamentally a semiotic operation process (semiosis) and (ii) (...)
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  • The Evolution of Complexity.Mark Bedau - 2009 - In Barberousse Anouk, Morange M. & Pradeau T. (eds.), Mapping the Future of Biology. Boston Studies in the Philosophy of Science, vol 266. Springer.
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  • Freedom as a Natural Phenomenon.Martin Zwick - 2015 - Foundations of Science 20 (3):1-10.
    “Freedom” is a phenomenon in the natural world. This phenomenon—and indirectly the question of free will—is explored using a variety of systems-theoretic ideas. It is argued that freedom can emerge only in systems that are partially determined and partially random, and that freedom is a matter of degree. The paper considers types of freedom and their conditions of possibility in simple living systems and in complex living systems that have modeling subsystems. In simple living systems, types of freedom include independence (...)
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