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  1. Information is in the eye of the beholder.Rhea T. Eskew - 1986 - Behavioral and Brain Sciences 9 (1):144-144.
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  • Brain metaphors, theories, and facts.Stephen Grossberg - 1986 - Behavioral and Brain Sciences 9 (1):97-98.
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  • The relationship between information theory, statistical mechanics, evolutionary theory, and cognitive Science.Michael Leyton - 1986 - Behavioral and Brain Sciences 9 (1):148-149.
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  • The Genome as the Biological Unconscious – and the Unconscious as the Psychic 'Genome': A Psychoanalytical Rereading of Molecular Genetics.Hub Zwart - 2013 - Cosmos and History 9 (2):198-222.
    1900 was a remarkable year for science. Several ground-breaking events took place, in physics, biology and psychology. Planck introduced the quantum concept, the work of Mendel was rediscovered, and Sigmund Freud published The Interpretation of Dreams . These events heralded the emergence of completely new areas of inquiry, all of which greatly affected the intellectual landscape of the 20 th century, namely quantum physics, genetics and psychoanalysis. What do these developments have in common? Can we discern a family likeness, a (...)
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  • From playfulness and self-centredness via grand expectations to normalisation: a psychoanalytical rereading of the history of molecular genetics. [REVIEW]H. A. E. Zwart - 2013 - Medicine, Health Care and Philosophy 16 (4):775-788.
    In this paper, I will reread the history of molecular genetics from a psychoanalytical angle, analysing it as a case history. Building on the developmental theories of Freud and his followers, I will distinguish four stages, namely: (1) oedipal childhood, notably the epoch of model building (1943–1953); (2) the latency period, with a focus on the development of basic skills (1953–1989); (3) adolescence, exemplified by the Human Genome Project, with its fierce conflicts, great expectations and grandiose claims (1989–2003) and (4) (...)
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  • The self and its brain.Stan Klein - 2012 - Social Cognition 30 (4):474-518.
    In this paper I argue that much of the confusion and mystery surrounding the concept of "self" can be traced to a failure to appreciate the distinction between the self as a collection of diverse neural components that provide us with our beliefs, memories, desires, personality, emotions, etc (the epistemological self) and the self that is best conceived as subjective, unified awareness, a point of view in the first person (ontological self). While the former can, and indeed has, been extensively (...)
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  • Why Machine-Information Metaphors are Bad for Science and Science Education.Massimo Pigliucci & Maarten Boudry - 2011 - Science & Education 20 (5-6):471.
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. Impor- tantly, (...)
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  • Biotechnology and naturalness in the genomics era: Plotting a timetable for the biotechnology debate. [REVIEW]Hub Zwart - 2009 - Journal of Agricultural and Environmental Ethics 22 (6):505-529.
    Debates on the role of biotechnology in food production are beset with notorious ambiguities. This already applies to the term “biotechnology” itself. Does it refer to the use and modification of living organisms in general, or rather to a specific set of technologies developed quite recently in the form of bioengineering and genetic modification? No less ambiguous are discussions concerning the question to what extent biotechnology must be regarded as “unnatural.” In this article it will be argued that, in order (...)
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  • The Big Bang and its Dark-Matter Content: Whence, Whither, and Wherefore.Roger Penrose - 2006 - Foundations of Physics 48 (10):1177-1190.
    The singularity theorems of the 1960s showed that Lemaître’s initial symmetry assumptions were not essential for deriving a big-bang origin for a vast multitude of relativistic universe models. Yet the actual universe accords remarkably closely with models of Lemaître’s type. This is a mystery closely related to the form taken by the 2nd law of thermodynamics and is not explained by currently conventional inflationary cosmology. Conformal cyclic cosmology provides another perspective on these issues, one consequence being the necessary initial presence (...)
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  • Autonomy generalised; or, Why doesn’t physics matter more?Katie Robertson - forthcoming - Ergo.
    In what sense are the special sciences autonomous of fundamental physics? Autonomy is an enduring theme in discussions of the relationship between the special sciences and fundamental physics or, more generally, between higher and lower-level facts. Discussion of ‘autonomy’ often fails to recognise that autonomy admits of degrees; consequently, autonomy is either taken to require full independence, or risk relegation to mere apparent autonomy. In addition, the definition of autonomy used by Fodor, the most famous proponent of the autonomy of (...)
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  • Review article.[author unknown] - 1994 - Semiotica 99 (1-2):101-234.
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  • The Synthetic Cell as a Techno-scientific Mandala.H. A. E. Zwart - 2018 - International Journal of Jungian Studies 10.
    This paper analyses the technoscientific objective of building a synthetic cell from a Jungian perspective. After decades of fragmentation and specialisation, the synthetic cell symbolises a turn towards restored wholeness, both at the object pole and at the subject pole. From a Jungian perspective, it is no coincidence that visual representations of synthetic cells often reflect an archetypal, mandala-like structure. As a symbol of restored unity, the synthetic cell mandala compensates for technoscientific fragmentation via active imagination, providing a visual aid (...)
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  • Human Beings and Robots: A Matter of Teleology?Andrea Lavazza - 2018 - Humana Mente 11 (34).
    In this paper, I use the comparison between human beings and intelligent machines to shed light on the concept of teleology. What characterizes human beings and distinguishes them from a robot capable of achieving complex objectives? In the first place, by stipulating that what characterizes human beings are mental states, I consider the mark of the mental. A smart robot probably has no consciousness but we might have reason for doubt while interacting with it. And a smart robot shows intentionality. (...)
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  • Information-Theoretic Philosophy of Mind.Jason Winning & William Bechtel - 2016 - In Luciano Floridi (ed.), The Routledge Handbook of Philosophy of Information. Routledge. pp. 347-360.
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  • Communication theory and intentionality.John G. Daugman - 1986 - Behavioral and Brain Sciences 9 (1):140-141.
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  • Information, causality, and intentionality.David Kelley - 1986 - Behavioral and Brain Sciences 9 (1):147-147.
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  • Old dogmas and new axioms in brain theory.Andràs J. Pellionisz - 1986 - Behavioral and Brain Sciences 9 (1):103-104.
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  • Intentionally: A problem of multiple reference frames, specificational information, and extraordinary boundary conditions on natural law.M. T. Turvey - 1986 - Behavioral and Brain Sciences 9 (1):153-155.
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  • Cortical architectures and value unit encoding.Charles D. Gilbert - 1986 - Behavioral and Brain Sciences 9 (1):96-97.
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  • On the Genealogy of the Eternal Return.Dmitri Safronov - 2021 - Vestnik 78 (4):3-24.
    Guided to the notion of the eternal return by the philosophical intuitions of the Greek antiquity, Nietzsche turned to the physical sciences of his day in order to further his inquiry. This extensive intellectual engagement represented a genuine attempt to investigate the possible continuity of meaning between the mythical tradition, on the one hand, and the rational-empirical (i.e. scientific), on the other. In particular, Nietzsche was intrigued by the manner in which the relationship between myth and science played out in (...)
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  • A Strategy for Origins of Life Research. [REVIEW]Caleb Scharf, Nathaniel Virgo, H. James Cleaves Ii, Masashi Aono, Nathanael Aubert-Kato, Arsev Aydinoglu, Ana Barahona, Laura M. Barge, Steven A. Benner, Martin Biehl, Ramon Brasser, Christopher J. Butch, Kuhan Chandru, Leroy Cronin, Sebastian Danielache, Jakob Fischer, John Hernlund, Piet Hut, Takashi Ikegami, Jun Kimura, Kensei Kobayashi, Carlos Mariscal, Shawn McGlynn, Bryce Menard, Norman Packard, Robert Pascal, Juli Pereto, Sudha Rajamani, Lana Sinapayen, Eric Smith, Christopher Switzer, Ken Takai, Feng Tian, Yuichiro Ueno, Mary Voytek, Olaf Witkowski & Hikaru Yabuta - 2015 - Astrobiology 15:1031-1042.
    Aworkshop was held August 26–28, 2015, by the Earth- Life Science Institute (ELSI) Origins Network (EON, see Appendix I) at the Tokyo Institute of Technology. This meeting gathered a diverse group of around 40 scholars researching the origins of life (OoL) from various perspectives with the intent to find common ground, identify key questions and investigations for progress, and guide EON by suggesting a roadmap of activities. Specific challenges that the attendees were encouraged to address included the following: What key (...)
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  • Connectionist value units: Some concerns.John A. Barnden - 1986 - Behavioral and Brain Sciences 9 (1):92-93.
    This paper is a commentary on the target article by Dana H. Ballard, “Cortical connections and parallel processing: Structure and function”, in the same issue of the journal, pp. 67–120. -/- I raise some issues about the connectionist or neural-network implementation of information and information processing. Issues include the sharing of information by different parts of a connectionist/neural network, the copying of complex information from one place to another in a network, the possibility of connection weights not being synaptic weights, (...)
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  • Intentionality and information processing: An alternative model for cognitive science.Kenneth M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical communication theory (...)
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  • In the Beginning was the Genome: Genomics and the Bi-textuality of Human Existence.H. A. E. Zwart - 2018 - The New Bioethics 24 (1):26-43.
    This paper addresses the cultural impact of genomics and the Human Genome Project on human self-understanding. Notably, it addresses the claim made by Francis Collins that the genome is the language of God and the claim made by Max Delbrück that Aristotle must be credited with having predicted DNA as the soul that organises bio-matter. From a continental philosophical perspective I will argue that human existence results from a dialectical interaction between two types of texts: the language of molecular biology (...)
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  • Hat das Leben eine "Würde"?Dieter Birnbacher - 2017 - Zeitschrift für Praktische Philosophie 4 (2):41-62.
    Biozentrische Postulate eines intrinsischen Wert des Lebendigen können nicht nur metaethisch unterschiedlich eingebettet sein, sie lassen sich auch unterschiedlich begründen und akzentuieren. Der Beitrag untersucht die Tragfähigkeit des Versuchs, den intrinsischen Wert des Lebendigen auf dessen Würde zurückzuführen, eine Konzeption, die u. a. bei der Einführung des Begriffs "Würde der Kreatur" in die Schweizerische Bundesverfassung in den frühen 1990er Jahren leitend gewesen ist. Es werden drei unterschiedlich anspruchsvolle Konzeptionen einer "Würde des Lebendigen" unterschieden sowie drei unterschiedlich anspruchsvolle normative Ausgestaltungen und (...)
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  • “Grandmother networks” and computational economy.J. J. Hopfield - 1986 - Behavioral and Brain Sciences 9 (1):100-100.
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  • What's in the term connectionist?.Christof Koch - 1986 - Behavioral and Brain Sciences 9 (1):100-101.
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  • Connectionist computing and neural machinery: Examining the test of “timing”.John K. Tsotsos - 1986 - Behavioral and Brain Sciences 9 (1):106-107.
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  • Bringing physics to bear on the phenomenon of life: the divergent positions of Bohr, Delbrück, and Schrödinger.Andrew T. Domondon - 2006 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):433-458.
    The received view on the contributions of the physics community to the birth of molecular biology tends to present the physics community as sharing a basic level consensus on how physics should be brought to bear on biology. I argue, however, that a close examination of the views of three leading physicists involved in the birth of molecular biology, Bohr, Delbrück, and Schrödinger, suggests that there existed fundamental disagreements on how physics should be employed to solve problems in biology even (...)
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  • Biochemical reductionism or obscurantist vitalism? — A new passage between scylla and charybdis.Stuart F. Spicker - 1987 - Biology and Philosophy 2 (4):509-515.
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  • On organism: Environment buffers and their ecological significance.José-Leonel Torres & Lynn Trainor - 2008 - Biology and Philosophy 23 (3):403-416.
    We consider, from a physical perspective, the case where the interface between an organism and its environment becomes large enough that it acts as a buffer regulating their matter and energy exchanges. We illustrate the physiological and evolutionary role of buffers through the example of lungfish estivation. Then we ponder the relevance of buffers of this kind to the quest for a general definition of concepts like niche construction, the extended phenotype, and related ones, whose meaning is conveyed at present (...)
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  • Hemostatic regulation and Whitehead's philosophy of organism.James A. Marcum & Geert M. N. Verschuuren - 1986 - Acta Biotheoretica 35 (1-2):123-133.
    Biology as a scientific discipline has relied heavily upon advances in chemistry and physics. An inherent danger in this relationship is the reduction of living phenomena to physico-chemical terms. Whitehead's Philosophy of Organism is utilized to examine current methodologies within biology and to evaluate their appropriateness for future research. Hemostatic regulation is employed to illustrate the applications of organistic concepts to biological research. It is concluded that understanding of living entities and their properties as well as possibly life itself will (...)
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  • Why Explicit Semiotic Grounding Is Essential to Biology as a Science? The Point of View of Biosemiotics.Elena Pagni - 2016 - Humana Mente (16):52-72.
    A common approach in biosemiotics suggests that semiosis (any activity or process that involves signs) is a natural process embedded in evolution, which entails the production of meaningful processes. As Pattee has argued, a closer look at living systems shows that semiosis is closely related to a very specific and highly functional context of selected constraints. Symbolic control consists in 1) instituting a friction on the novelty, variability and randomness of life processes 2) allowing survival value at all levels of (...)
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  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks - 1986 - Behavioral and Brain Sciences 9 (1):150-150.
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  • Intentionality and information theory.David P. Ellerman - 1986 - Behavioral and Brain Sciences 9 (1):143-144.
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  • Intrinsic versus contrived intentionality.Donald M. MacKay - 1986 - Behavioral and Brain Sciences 9 (1):149-150.
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  • The Physics of Emergence.Robert C. Bishop - 2019 - San Rafael, CA: Morgan & Claypool publication as part of IOP Concise Physics.
    This book explores whether physics points to a reductive or an emergent structure of the world and proposes a physics-motivated conception of emergence that leaves behind many of the problematic intuitions shaping the philosophical conceptions. Examining several detailed case studies reveals results that point to stability conditions playing a crucial though underappreciated role in the physics of emergence. This contextual emergence has thought-provoking consequences for physics and beyond.
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  • The Affective Core of the Self: A Neuro-Archetypical Perspective on the Foundations of Human (and Animal) Subjectivity.Antonio Alcaro, Stefano Carta & Jaak Panksepp - 2017 - Frontiers in Psychology 8.
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  • Scientific iconoclasm and active imagination: synthetic cells as techo-schientific mandalas.Hub Zwart - 2018 - Life Sciences, Society and Policy 14 (1):1-17.
    Metaphors allow us to come to terms with abstract and complex information, by comparing it to something which is structured, familiar and concrete. Although modern science is “iconoclastic”, as Gaston Bachelard phrases it, scientists are at the same time prolific producers of metaphoric images themselves. Synthetic biology is an outstanding example of a technoscientific discourse replete with metaphors, including textual metaphors such as the “Morse code” of life, the “barcode” of life and the “book” of life. This paper focuses on (...)
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  • What are definitions of life good for? Transdisciplinary and other definitions in astrobiology.Tarja Knuuttila & Andrea Loettgers - 2017 - Biology and Philosophy 32 (6):1185-1203.
    The attempt to define life has gained new momentum in the wake of novel fields such as synthetic biology, astrobiology, and artificial life. In a series of articles, Cleland, Chyba, and Machery claim that definitions of life seek to provide necessary and sufficient conditions for applying the concept of life—something that such definitions cannot, and should not do. We argue that this criticism is largely unwarranted. Cleland, Chyba, and Machery approach definitions of life as classifying devices, thereby neglecting their other (...)
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  • Invariant and programmable neuropsychological systems are fibrations.William C. Hoffman - 1986 - Behavioral and Brain Sciences 9 (1):99-100.
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  • Computational neuroscience.Terrence J. Sejnowski - 1986 - Behavioral and Brain Sciences 9 (1):104-105.
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  • Semantic control systems.Cliff Joslyn - 1995 - World Futures 45 (1):87-123.
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  • Bringing physics to bear on the phenomenon of life: the divergent positions of Bohr, Delbrück, and Schrödinger.Andrew T. Domondon - 2006 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):433-458.
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  • Chance and Events: The Way in Which Nature Surprises Us.Gennaro Auletta & Lluc Torcal - 2014 - Biosemiotics 7 (3):335-350.
    Starting with the example of irreducible quantum events, it is shown that other kinds of events also have an element of randomness. The hallmark of “genuine” events is their irreducibility to some previous conditions. A connection between this concept and the traditional notion of contingency is explored. This concept is further brought in connection with Peirce’s Firstness. Such a notion raises the problem of how to understand causation. It seems that causes deal with individual happenings. In fact, laws are only (...)
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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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  • Engineering's baby.Daniel C. Dennett - 1986 - Behavioral and Brain Sciences 9 (1):141-142.
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  • Uncertainty about information.Ian E. Gordon - 1986 - Behavioral and Brain Sciences 9 (1):146-146.
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  • Does the brain compute?Erich Harth - 1986 - Behavioral and Brain Sciences 9 (1):98-99.
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  • Value units make the right connections.Dana H. Ballard - 1986 - Behavioral and Brain Sciences 9 (1):107-120.
    The cerebral cortex is a rich and diverse structure that is the basis of intelligent behavior. One of the deepest mysteries of the function of cortex is that neural processing times are only about one hundred times as fast as the fastest response times for complex behavior. At the very least, this would seem to indicate that the cortex does massive amounts of parallel computation.This paper explores the hypothesis that an important part of the cortex can be modeled as a (...)
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