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  1. Natural goodness without natural history.Parisa Moosavi - 2022 - Philosophy and Phenomenological Research:78-100.
    Neo‐Aristotelian ethical naturalism purports to show that moral evaluation of human action and character is an evaluation of natural goodness—a kind of evaluation that applies to living things in virtue of their nature and based on their form of life. The standard neo‐Aristotelian view defines natural goodness by way of generic statements describing the natural history, or the ‘characteristic’ life, of a species. In this paper, I argue that this conception of natural goodness commits the neo‐Aristotelian view to a problematic (...)
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  • Structural Powers and the Homeodynamic Unity of Organisms.Christopher J. Austin & Anna Marmodoro - 2017 - In William M. R. Simpson, Robert C. Koons & Nicholas J. Teh (eds.), Neo-Aristotelian Perspectives on Contemporary Science. Routledge. pp. 169-184.
    Although they are continually compositionally reconstituted and reconfigured, organisms nonetheless persist as ontologically unified beings over time – but in virtue of what? A common answer is: in virtue of their continued possession of the capacity for morphological invariance which persists through, and in spite of, their mereological alteration. While we acknowledge that organisms‟ capacity for the “stability of form” – homeostasis - is an important aspect of their diachronic unity, we argue that this capacity is derived from, and grounded (...)
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  • Why creative intelligence is hard to find.Daniel Dennett - 1988 - Behavioral and Brain Sciences 11 (2):253-253.
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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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  • Intentional systems in cognitive ethology: The 'panglossian paradigm' defended.Daniel C. Dennett - 1983 - Behavioral and Brain Sciences 6 (3):343-90.
    Ethologists and others studying animal behavior in a spirit are in need of a descriptive language and method that are neither anachronistically bound by behaviorist scruples nor prematurely committed to particular Just such an interim descriptive method can be found in intentional system theory. The use of intentional system theory is illustrated with the case of the apparently communicative behavior of vervet monkeys. A way of using the theory to generate data - including usable, testable data - is sketched. The (...)
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  • Consequence contingencies and provenance partitions.Juan D. Delius - 1984 - Behavioral and Brain Sciences 7 (4):685-685.
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  • Selectionist mechanisms: A framework for interactionism.Stanislas Dehaene & Jean-Pierre Changeux - 1988 - Behavioral and Brain Sciences 11 (4):633-633.
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  • Von Neumann’s Legacy for a Scientific Biosemiotics.Joachim De Beule - 2012 - Biosemiotics 5 (1):1-4.
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  • Adaptationism was always predictive and needed no defense.Richard Dawkins - 1983 - Behavioral and Brain Sciences 6 (3):360-361.
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  • Science as an international system.Arthur C. Danto - 1983 - Behavioral and Brain Sciences 6 (3):359-360.
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  • Deception and explanatory economy.Arthur C. Danto - 1988 - Behavioral and Brain Sciences 11 (2):252-253.
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  • Operant conditioning and natural selection.Andrew M. Colman - 1984 - Behavioral and Brain Sciences 7 (4):684-685.
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  • On natural selection and culture.F. T. Cloak - 1981 - Behavioral and Brain Sciences 4 (2):238-240.
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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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  • A complex systems theory of teleology.Wayne Christensen - 1996 - Biology and Philosophy 11 (3):301-320.
    Part I [sections 2–4] draws out the conceptual links between modern conceptions of teleology and their Aristotelian predecessor, briefly outlines the mode of functional analysis employed to explicate teleology, and develops the notion of cybernetic organisation in order to distinguish teleonomic and teleomatic systems. Part II is concerned with arriving at a coherent notion of intentional control. Section 5 argues that intentionality is to be understood in terms of the representational properties of cybernetic systems. Following from this, section 6 argues (...)
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  • Classification of deceptive behavior according to levels of cognitive complexity.Suzanne Chevalier-Skolnikoff - 1988 - Behavioral and Brain Sciences 11 (2):249-251.
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  • Social interaction: The missing link in evolutionary models.Ivan D. Chase - 1981 - Behavioral and Brain Sciences 4 (2):237-238.
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  • An ecological approach toward a unified theory of learning.William R. Charlesworth - 1981 - Behavioral and Brain Sciences 4 (1):142-143.
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  • Levels of organization, selection, and information storage in biological and social evaluation.Donald T. Campbell - 1981 - Behavioral and Brain Sciences 4 (2):236-237.
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  • Toward the next generation in data quality: A new survey of primate tactical deception.R. W. Byrne & A. Whiten - 1988 - Behavioral and Brain Sciences 11 (2):267-273.
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  • Ethology and operant psychology.Gordon M. Burghardt - 1984 - Behavioral and Brain Sciences 7 (4):683-684.
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  • Developmental creationism.Gordon M. Burghardt - 1988 - Behavioral and Brain Sciences 11 (4):632-632.
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  • Anecdotes and critical anthropomorphism.Gordon M. Burghardt - 1988 - Behavioral and Brain Sciences 11 (2):248-249.
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  • Cost–benefit models and the evolution of behavior.Jerram L. Brown - 1984 - Behavioral and Brain Sciences 7 (4):682-682.
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  • Health as a theoretical concept.Christopher Boorse - 1977 - Philosophy of Science 44 (4):542-573.
    This paper argues that the medical conception of health as absence of disease is a value-free theoretical notion. Its main elements are biological function and statistical normality, in contrast to various other ideas prominent in the literature on health. Apart from universal environmental injuries, diseases are internal states that depress a functional ability below species-typical levels. Health as freedom from disease is then statistical normality of function, i.e., the ability to perform all typical physiological functions with at least typical efficiency. (...)
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  • A new experimental analysis of behavior – one for all behavior.D. Caroline Blanchard, Robert J. Blanchard & Kevin J. Flannelly - 1984 - Behavioral and Brain Sciences 7 (4):681-682.
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  • Biological regulation: controlling the system from within.Leonardo Bich, Matteo Mossio, Kepa Ruiz-Mirazo & Alvaro Moreno - 2016 - Biology and Philosophy 31 (2):237-265.
    Biological regulation is what allows an organism to handle the effects of a perturbation, modulating its own constitutive dynamics in response to particular changes in internal and external conditions. With the central focus of analysis on the case of minimal living systems, we argue that regulation consists in a specific form of second-order control, exerted over the core regime of production and maintenance of the components that actually put together the organism. The main argument is that regulation requires a distinctive (...)
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  • Metaphor, cognitive belief, and science.Irwin S. Bernstein - 1988 - Behavioral and Brain Sciences 11 (2):247-248.
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  • Thoughts about thoughts.Jonathan Bennett - 1988 - Behavioral and Brain Sciences 11 (2):246-247.
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  • Cognitive ethology: Theory or poetry?Jonathan Bennett - 1983 - Behavioral and Brain Sciences 6 (3):356-358.
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  • Birdsong and the “problem” of nature and nurture: Endless chirping about inadequate evidence or merely singing the blues about inevitable biases in, and limitations of, human inference?Marc Bekoff - 1988 - Behavioral and Brain Sciences 11 (4):631-631.
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  • Rationality: putting the issue to the scientific community.John Beatty - 1983 - Behavioral and Brain Sciences 6 (3):355-356.
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  • Linking the biological functions and the mechanisms of learning: Uses and abuses.Patrick Bateson - 1981 - Behavioral and Brain Sciences 4 (1):142-142.
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  • The logical relation between cultural and biological evolution: On to the next question.Jerome H. Barkow - 1981 - Behavioral and Brain Sciences 4 (2):235-236.
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  • Of false dichotomies and larger frames.Jerome H. Barkow - 1984 - Behavioral and Brain Sciences 7 (4):680-681.
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  • Contingencies of selection, reinforcement, and survival.David P. Barash - 1984 - Behavioral and Brain Sciences 7 (4):680-680.
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  • A theory of learning - not even déjà vu.George W. Barlow & Stephen E. Glickman - 1981 - Behavioral and Brain Sciences 4 (1):141-142.
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  • Learning how to deceive.John D. Baldwin - 1988 - Behavioral and Brain Sciences 11 (2):245-246.
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  • Ontogenetic or phylogenetic – another afterpain of the fallacious Cartesian dichotomy.Gerard P. Baerends - 1984 - Behavioral and Brain Sciences 7 (4):679-680.
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  • An externalist teleology.Gunnar Babcock & Daniel W. McShea - 2021 - Synthese 199 (3-4):8755-8780.
    Teleology has a complicated history in the biological sciences. Some have argued that Darwin’s theory has allowed biology to purge itself of teleological explanations. Others have been content to retain teleology and to treat it as metaphorical, or have sought to replace it with less problematic notions like teleonomy. And still others have tried to naturalize it in a way that distances it from the vitalism of the nineteenth century, focusing on the role that function plays in teleological explanation. No (...)
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  • Foreign policy as a goal directed activity.Paul A. Anderson - 1984 - Philosophy of the Social Sciences 14 (2):159-181.
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  • Skinner's circus.Stuart A. Altmann - 1984 - Behavioral and Brain Sciences 7 (4):678-679.
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  • Darwin, deceit, and metacommunication.Stuart A. Altmann - 1988 - Behavioral and Brain Sciences 11 (2):244-245.
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  • Principles of learning and the ecological style of inquiry.Thomas R. Alley & Robert E. Shaw - 1981 - Behavioral and Brain Sciences 4 (1):139-141.
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  • Singing down a blind alley.John Alcock - 1988 - Behavioral and Brain Sciences 11 (4):630-631.
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  • Representation in Cognitive Science.Nicholas Shea - 2018 - Oxford University Press.
    How can we think about things in the outside world? There is still no widely accepted theory of how mental representations get their meaning. In light of pioneering research, Nicholas Shea develops a naturalistic account of the nature of mental representation with a firm focus on the subpersonal representations that pervade the cognitive sciences.
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  • Function and Teleology.Justin Garson - 2008 - In Sahorta Sarkar & Anya Plutynski (eds.), Companion to the Philosophy of Biology. Blackwell. pp. 525-549.
    This is a short overview of the biological functions debate in philosophy. While it was fairly comprehensive when it was written, my short book ​A Critical Overview of Biological Functions has largely supplanted it as a definitive and up-to-date overview of the debate, both because the book takes into account new developments since then, and because the length of the book allowed me to go into substantially more detail about existing views.
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  • On the what_ and _how of learning.R. C. Gonzalez & Matthew Yarczower - 1981 - Behavioral and Brain Sciences 4 (1):145-145.
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  • Contrasting approaches to a theory of learning.Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (1):125-139.
    The general process view of learning, which guided research into learning for the first half of this century, has come under attack in recent years from several quarters. One form of criticism has come from proponents of the so-called biological boundaries approach to learning. These theorists have presented a variety of data showing that supposedly general laws of learning may in fact be limited in their applicability to different species and learning tasks, and they argue that the limitations are drawn (...)
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  • Nonhuman intentional systems.H. S. Terrace - 1983 - Behavioral and Brain Sciences 6 (3):378-379.
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