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  1. The strategy of optimality revisited.Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):237-245.
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  • The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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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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  • Types of optimality: Who is the steersman?Michael E. Hyland - 1991 - Behavioral and Brain Sciences 14 (2):223-224.
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  • Why optimality is not worth arguing about.Stephen E. G. Lea - 1991 - Behavioral and Brain Sciences 14 (2):225-225.
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  • Optimality and human memory.John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (2):215-216.
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  • Pre-cognitive Semantic Information.Orlin Vakarelov - 2010 - Knowledge, Technology & Policy 23 (1-2):193-226.
    This paper addresses one of the fundamental problems of the philosophy of information: How does semantic information emerge within the underlying dynamics of the world?—the dynamical semantic information problem. It suggests that the canonical approach to semantic information that defines data before meaning and meaning before use is inadequate for pre-cognitive information media. Instead, we should follow a pragmatic approach to information where one defines the notion of information system as a special kind of purposeful system emerging within the underlying (...)
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  • Open problems in the philosophy of information.Luciano Floridi - 2004 - Metaphilosophy 35 (4):554-582.
    The philosophy of information (PI) is a new area of research with its own field of investigation and methodology. This article, based on the Herbert A. Simon Lecture of Computing and Philosophy I gave at Carnegie Mellon University in 2001, analyses the eighteen principal open problems in PI. Section 1 introduces the analysis by outlining Herbert Simon's approach to PI. Section 2 discusses some methodological considerations about what counts as a good philosophical problem. The discussion centers on Hilbert's famous analysis (...)
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  • Complexity and information.Panu Raatikainen - 1998 - In _Complexity, Information and Incompleteness_ (doctoral dissertation). Reports from the Department of Philosophy, University of Helsinki, 2/1998.
    "Complexity" is a catchword of certain extremely popular and rapidly developing interdisciplinary new sciences, often called accordingly the sciences of complexity. It is often closely associated with another notably popular but ambiguous word, "information"; information, in turn, may be justly called the central new concept in the whole 20th century science. Moreover, the notion of information is regularly coupled with a key concept of thermodynamics, viz. entropy. And like this was not enough it is quite usual to add one more (...)
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  • Entropy in evolution.John Collier - 1986 - Biology and Philosophy 1 (1):5-24.
    Daniel R. Brooks and E. O. Wiley have proposed a theory of evolution in which fitness is merely a rate determining factor. Evolution is driven by non-equilibrium processes which increase the entropy and information content of species together. Evolution can occur without environmental selection, since increased complexity and organization result from the likely capture at the species level of random variations produced at the chemical level. Speciation can occur as the result of variation within the species which decreases the probability (...)
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  • The Biosemiotic Approach in Biology : Theoretical Bases and Applied Models.Joao Queiroz, Claus Emmeche, Kalevi Kull & Charbel El-Hani - 2011 - In George Terzis & Robert Arp (eds.), Information and Living Systems: Philosophical and Scientific Perspectives. Bradford. pp. 91-130.
    Biosemiotics is a growing fi eld that investigates semiotic processes in the living realm in an attempt to combine the fi ndings of the biological sciences and semiotics. Semiotic processes are more or less what biologists have typically referred to as “ signals, ” “ codes, ”and “ information processing ”in biosystems, but these processes are here understood under the more general notion of semiosis, that is, the production, action, and interpretation of signs. Thus, biosemiotics can be seen as biology (...)
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  • Seventh Workshop on the Philosophy of Information. Conceptual Challenges of Data in Science and Technology. [REVIEW]Canali Stefano - 2015 - Rivista Italiana di Filosofia Analitica Junior 6 (1):64-86.
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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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  • Don't just sit there, optimise something.J. H. P. Paelinck - 1991 - Behavioral and Brain Sciences 14 (2):230-230.
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  • Optimality as a prescriptive tool.Alexander H. G. Rinnooy Kan - 1991 - Behavioral and Brain Sciences 14 (2):230-231.
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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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  • Insufficient Reason and Entropy in Quantum Theory.Ariel Caticha - 2000 - Foundations of Physics 30 (2):227-251.
    The objective of the consistent-amplitude approach to quantum theory has been to justify the mathematical formalism on the basis of three main assumptions: the first defines the subject matter, the second introduces amplitudes as the tools for quantitative reasoning, and the third is an interpretative rule that provides the link to the prediction of experimental outcomes. In this work we introduce a natural and compelling fourth assumption: if there is no reason to prefer one region of the configuration space over (...)
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  • On the foundations of biological systematics.Graham C. D. Griffiths - 1974 - Acta Biotheoretica 23 (3-4):85-131.
    The foundations of systematics lie in ontology, not in subjective epistemology. Systems and their elements should be distinguished from classes; only the latter are constructed from similarities. The term classification should be restricted to ordering into classes; ordering according to systematic relations may be called systematization.The theory of organization levels portrays the real world as a hierarchy of open systems, from energy quanta to ecosystems; followingHartmann these systems as extended in time are considered the primary units of reality. Organization levels (...)
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  • From Discourse Networks to Cultural Mathematics.John Armitage - 2006 - Theory, Culture and Society 23 (7-8):17-38.
    Following a short discussion of the German philosopher Friedrich A. Kittler’s biographical and intellectual formation, this interview introduces the reader to Kittler’s theoretical efforts to develop our understanding of contemporary culture and society. However, the focus of the interview is on the core concepts of ‘discourse networks’, ‘the military-industrial complex’, and ‘technology’, arguably the three central themes of Kittler’s work to date. As the title of the interview indicates, the idea of ‘cultural mathematics’ is also considered important in this account (...)
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  • Computerisation as a Means of Cultural Change.Niels Ole Finnemann - 1989 - AI and Society 4 (4):314-328.
    Since World War II the concept of Information has received several new definitions. Information can be understood as knowledge in general, as theoretical, formalized knowledge in general or as knowledge related to specific domains or specific representational forms. Because of these mutually inconsistent concepts the common traits are to be found in a perspective transcendent to those theories. The central cultural changes, it is argued, take place on the level of the societal knowledge infrastructure, evolving from the knowledge infrastructure of (...)
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  • Extremum descriptions, process laws and minimality heuristics.Elliott Sober - 1991 - Behavioral and Brain Sciences 14 (2):232-233.
    The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...)
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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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  • Complementarity in information studies.Liqian Zhou - 2020 - Synthese 197 (1):293-310.
    The principle of complementarity in physics can be generalized and extended to information studies. It helps explain the dilemma faced by information studies today. The prevailing endeavor that going beyond the limitation of formal theories and to develop a unified theory of information falls in the dilemma which is structurally homologous to the dilemmas in quantum physics. The dilemma is caused by an epistemological paradox called assignment paradox. The paradox can be removed through generalized complementarity. It means that the concept (...)
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  • In What Sense is the Kolmogorov-Sinai Entropy a Measure for Chaotic Behaviour?—Bridging the Gap Between Dynamical Systems Theory and Communication Theory.Roman Frigg - 2004 - British Journal for the Philosophy of Science 55 (3):411-434.
    On an influential account, chaos is explained in terms of random behaviour; and random behaviour in turn is explained in terms of having positive Kolmogorov-Sinai entropy (KSE). Though intuitively plausible, the association of the KSE with random behaviour needs justification since the definition of the KSE does not make reference to any notion that is connected to randomness. I provide this justification for the case of Hamiltonian systems by proving that the KSE is equivalent to a generalized version of Shannon's (...)
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  • Life, information, entropy, and time: Vehicles for semantic inheritance.Antony R. Crofts - 2007 - Complexity 13 (1):14-50.
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  • Entropy and information in evolving biological systems.Daniel R. Brooks, John Collier, Brian A. Maurer, Jonathan D. H. Smith & E. O. Wiley - 1989 - Biology and Philosophy 4 (4):407-432.
    Integrating concepts of maintenance and of origins is essential to explaining biological diversity. The unified theory of evolution attempts to find a common theme linking production rules inherent in biological systems, explaining the origin of biological order as a manifestation of the flow of energy and the flow of information on various spatial and temporal scales, with the recognition that natural selection is an evolutionarily relevant process. Biological systems persist in space and time by transfor ming energy from one state (...)
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  • On the fundamental nature of perception.Kenneth H. Norwich - 1991 - Acta Biotheoretica 39 (1):81-90.
    The process of recognition or isolation of one or several entities from among many possible entities is termed intellego perception. It is shown that not only are many of our everyday percepts of this type, but perception of microscopic events using the methods of quantum mechanics are also intellego in nature. Information theory seems to be a natural language in which to express perceptual activity of this type. It is argued that the biological organism quantifies its sensations using an information (...)
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  • When We Have Never Been Human, What Is to Be Done?Nicholas Gane - 2006 - Theory, Culture and Society 23 (7-8):135-158.
    This interview reconsiders Donna Haraway’s Cyborg Manifesto 21 years after it was first published. It asks what has become of the three boundary breakdowns around which the Manifesto was structured - those between animals and humans, animal-humans (organisms) and machines, and the ‘physical and non-physical’. Against this backdrop, this interview examines the connection between the Cyborg Manifesto and Haraway’s more recent writings on companion species, along with what it means to read or write a ‘manifesto’ today. Recent notions of the (...)
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  • What are the Units of Language Evolution?Nathalie Gontier - 2018 - Topoi 37 (2):235-253.
    Universal Darwinism provides a methodology to study the evolution of anatomical form and sociocultural behavior that centers on defining the units and levels of selection, and it identifies the conditions whereby natural selection operates. In previous work, I have examined how this selection-focused evolutionary epistemology may be universalized to include theories that associate with an extended synthesis. Applied evolutionary epistemology is a metatheoretical framework that understands any and all kinds of evolution as phenomena where units evolve by mechanisms at levels (...)
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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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  • The example of psychology: Optimism, not optimality.Daniel S. Levine - 1991 - Behavioral and Brain Sciences 14 (2):225-226.
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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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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  • Natural pragmatics and natural codes.Tim Wharton - 2003 - Mind and Language 18 (5):447–477.
    Grice (1957) drew a distinction between natural(N) and non–natural(NN) meaning, and showed how the latter might be characterised in terms of intentions and the recognition of intentions. Focussing on the role of natural signs and natural behaviours in communication, this paper makes two main points. First, verbal communication often involves a mixture of natural and non–natural meaning and there is a continuum of cases between showing and meaningNN. This suggests that pragmatics is best seen as a theory of intentional verbal (...)
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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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  • Avoid the push-pull dilemma in explanation.Kenneth M. Steele - 1991 - Behavioral and Brain Sciences 14 (2):233-234.
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  • What makes cultural heredity unique? On action-types, intentionality and cooperation in imitation.Frank Kannetzky - 2007 - Mind and Language 22 (5):592–623.
    The exploration of the mechanisms of cultural heredity has often been regarded as the key to explicating human uniqueness. Particularly early imitative learning, which is explained as a kind of simulation that rests on the infant’s identification with other persons as intentional agents, has been stressed as the foundation of cumulative cultural transmission. But the question of what are the objects of this mechanism has not been given much attention. Although this is a pivotal point, it still remains obscure. I (...)
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  • The human being as a bumbling optimalist: A psychologist's viewpoint.Masanao Toda - 1991 - Behavioral and Brain Sciences 14 (2):235-235.
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  • Reinventing molecular weismannism: Information in evolution. [REVIEW]James MacLaurin - 1998 - Biology and Philosophy 13 (1):37-59.
    Molecular Weismannism is the claim that: “In the development of an individual, DNA causes the production both of DNA (genetic material) and of protein (somatic material). The reverse process never occurs. Protein is never a cause of DNA”. This principle underpins both the idea that genes are the objects upon which natural selection operates and the idea that traits can be divided into those that are genetic and those that are not. Recent work in developmental biology and in philosophy of (...)
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  • Physical entropy and the senses.Kenneth H. Norwich - 2005 - Acta Biotheoretica 53 (3):167-180.
    With reference to two specific modalities of sensation, the taste of saltiness of chloride salts, and the loudness of steady tones, it is shown that the laws of sensation (logarithmic and power laws) are expressions of the entropy per mole of the stimulus. That is, the laws of sensation are linear functions of molar entropy. In partial verification of this hypothesis, we are able to derive an approximate value for the gas constant, a fundamental physical constant, directly from psychophysical measurements. (...)
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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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  • Theory of data transferal.Louis-Marie Vincent - 1993 - Acta Biotheoretica 41 (1-2):139-145.
    A new approach to information is proposed with the intention of providing a conceptual tool adapted to biology, including a semantic value.Information involves a material support as well as a significance, adapted to the cognitive domain of the receiver and/or the transmitter. A message does not carry any information, only data. The receiver makes an identification by a procedure of recognition of the forms, which activate previously learned significance. This treatment leads to a new significance (or new knowledge).
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • A contribution to the geographical interpretation of biological change.Charles H. Smith - 1986 - Acta Biotheoretica 35 (4):229-278.
    Geography has traditionally been assigned the role of handmaiden in evolutionary studies. In this work a different understanding of the relationship between biological change and locational setting is developed: evolution as a dynamic form of spatial interaction. In the causal model presented, adaptive change is portrayed as a negative feedback response contributing to a general spatial-temporal process of resource cycle tightening involving exchanges between the two fundamental structural sectors (abiotic and biotic) of the earth's surface system. As such, it is (...)
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  • Increases in environmental entropy demand evolution.Georg Schulze & Shuji Mori - 1993 - Acta Biotheoretica 41 (3):149-164.
    An application of the entropic theory of perception to evolutionary systems indicates that environmental entropy increases will exert pressures on an organism to adapt. We speculate that the instability caused by such environmental changes will also cause an increase in the mutation rate of organisms leading to an eventual increase in their complexity. Such complexity generation allows organisms to adapt to the more entropic environment. Although we conclude that increases in environmental entropy cause an organism to evolve into a more (...)
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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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  • Complexity and optimality.Dauglas A. Miller & Steven W. Zucker - 1991 - Behavioral and Brain Sciences 14 (2):227-228.
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  • Straining the word “optimal”.James E. Mazur - 1991 - Behavioral and Brain Sciences 14 (2):227-227.
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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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  • Emotion in languaging: languaging as affective, adaptive, and flexible behavior in social interaction.Thomas W. Jensen - 2014 - Frontiers in Psychology 5:96268.
    This article argues for a view on languaging as inherently affective. Informed by recent ecological tendencies within cognitive science and distributed language studies a distinction between first order languaging (language as whole-body sense making) and second order language (language as system like constraints) is put forward. Contrary to common assumptions within linguistics and communication studies separating language-as-a-system from language use (resulting in separations between language vs. body-language and verbal vs. non-verbal communication etc.) the first/second order distinction sees language as emanating (...)
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