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The sciences of the artificial

[Cambridge,: M.I.T. Press (1969)

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  1. The strategic eye: Another look. [REVIEW]Stephen M. Kosslyn - 2001 - Minds and Machines 11 (2):287-291.
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  • The how, what, and why of mental imagery.Stephen M. Kossyln, Steven Pinker, George E. Smith & Steven P. Shwartz - 1979 - Behavioral and Brain Sciences 2 (4):570-581.
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  • Some regularities in human group formation and the evolution of societal complexity.Krisztina Kosse - 2000 - Complexity 6 (1):60-64.
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  • The emergence principle in biological hierarchies.Robert W. Korn - 2005 - Biology and Philosophy 20 (1):137-151.
    Emergent properties have been described by Mill, Lewes, Broad, Morgan and others, as novel, nonadditive, nonpredictable and nondeducible within a hierarchical context. I have developed a more definitive concept of a hierarchy that can be used to inspect the phenomenon of emergence in a new and detailed manner. A hierarchy is held together by descending constraints and new features can arise when an upper level entity restrains its components in new combinations that are not expected when viewing these components alone. (...)
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  • Hierarchical ordering in plant morphology.Robert W. Korn - 1994 - Acta Biotheoretica 42 (4):227-244.
    Plants are interpreted as structural hierarchies which are real systems organized through descending constraints. Types of hierarchical groups in plants are (a) cluster by integration, (b) support through attachment, (c) enclosure by encasement (d) dissipative by input of energy and (e) control through variable state switching. Most plant hierarchies are mixtures of these types which explains a number of paradoxes in plant morphology. The traditional means of identifying levels, i.e., cell, tissues, organs, uses a compositional group which is not a (...)
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  • Why argue about direct perception?J. J. Koenderink - 1980 - Behavioral and Brain Sciences 3 (3):390-391.
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  • Imagination extended and embedded: artifactual versus fictional accounts of models.Tarja Knuuttila - 2017 - Synthese 198 (Suppl 21):5077-5097.
    This paper presents an artifactual approach to models that also addresses their fictional features. It discusses first the imaginary accounts of models and fiction that set model descriptions apart from imagined-objects, concentrating on the latter :251–268, 2010; Frigg and Nguyen in The Monist 99:225–242, 2016; Godfrey-Smith in Biol Philos 21:725–740, 2006; Philos Stud 143:101–116, 2009). While the imaginary approaches accommodate surrogative reasoning as an important characteristic of scientific modeling, they simultaneously raise difficult questions concerning how the imagined entities are related (...)
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  • Lessons from the study of speech perception.Keith R. Kluender - 1990 - Behavioral and Brain Sciences 13 (4):739-740.
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  • What do predictive coders want?Colin Klein - 2018 - Synthese 195 (6):2541-2557.
    The so-called “dark room problem” makes vivd the challenges that purely predictive models face in accounting for motivation. I argue that the problem is a serious one. Proposals for solving the dark room problem via predictive coding architectures are either empirically inadequate or computationally intractable. The Free Energy principle might avoid the problem, but only at the cost of setting itself up as a highly idealized model, which is then literally false to the world. I draw at least one optimistic (...)
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  • Underestimating the importance of the implementational level.Michael Van Kleeck - 1987 - Behavioral and Brain Sciences 10 (3):497-498.
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  • The Construction of Meaning.Walter Kintsch & Praful Mangalath - 2011 - Topics in Cognitive Science 3 (2):346-370.
    We argue that word meanings are not stored in a mental lexicon but are generated in the context of working memory from long-term memory traces that record our experience with words. Current statistical models of semantics, such as latent semantic analysis and the Topic model, describe what is stored in long-term memory. The CI-2 model describes how this information is used to construct sentence meanings. This model is a dual-memory model, in that it distinguishes between a gist level and an (...)
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  • Musings About Beauty.Walter Kintsch - 2012 - Cognitive Science 36 (4):635-654.
    In this essay, I explore how cognitive science could illuminate the concept of beauty. Two results from the extensive literature on aesthetics guide my discussion. As the term “beauty” is overextended in general usage, I choose as my starting point the notion of “perfect form.” Aesthetic theorists are in reasonable agreement about the criteria for perfect form. What do these criteria imply for mental representations that are experienced as beautiful? Complexity theory can be used to specify constraints on mental representations (...)
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  • Five exaptations in speech: Reducing the arbitrariness of the constraints on language.John Kingston - 1990 - Behavioral and Brain Sciences 13 (4):738-739.
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  • Does a computational theory of human memory need intelligence?Sachiko Kinoshita - 1994 - Behavioral and Brain Sciences 17 (4):673-674.
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  • The information inelasticity of habits: Kahneman’s bounded rationality or Simon’s procedural rationality?Elias L. Khalil - 2022 - Synthese 200 (4):1-40.
    Why would decision makers adopt heuristics, priors, or in short “habits” that prevent them from optimally using pertinent information—even when such information is freely-available? One answer, Herbert Simon’s “procedural rationality” regards the question invalid: DMs do not, and in fact cannot, process information in an optimal fashion. For Simon, habits are the primitives, where humans are ready to replace them only when they no longer sustain a pregiven “satisficing” goal. An alternative answer, Daniel Kahneman’s “mental economy” regards the question valid: (...)
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  • Self-reflexive cognitive bias.Joshua Mugg & Muhammad Ali Khalidi - 2021 - European Journal for Philosophy of Science 11 (3):1-21.
    Cognitive scientists claim to have discovered a large number of cognitive biases, which have a tendency to mislead reasoners. Might cognitive scientists themselves be subject to the very biases they purport to discover? And how should this alter the way they evaluate their research as evidence for the existence of these biases? In this paper, we posit a new paradox (the ‘Self-Reflexive Bias Paradox’), which bears a striking resemblance to some classical logical paradoxes. Suppose that research R appears to be (...)
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  • Direct vs. representational views of cognition: A parallel between vision and phonology.Samuel Jay Keyser & Steven Pinker - 1980 - Behavioral and Brain Sciences 3 (3):389-390.
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  • Children's thinking: What never develops?Frank Keil - 1981 - Cognition 10 (1-3):159-166.
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  • The semantic–syntactic distinction in story grammars.Janice M. Keenan - 1983 - Behavioral and Brain Sciences 6 (4):601.
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  • The imagery debate: a controversy over terms and cognitive styles.Janice M. Keenan & Richard K. Olson - 1979 - Behavioral and Brain Sciences 2 (4):558-559.
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  • Size and salience of spelling-sound correspondences.Janice Kay - 1985 - Behavioral and Brain Sciences 8 (4):715-716.
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  • Cognitive bearing of techno-advances in Kashmiri carpet designing.Gagan Deep Kaur - 2016 - AI and Society:0-0.
    The design process in Kashmiri carpet weaving is a distributed process encompassing a number of actors and artifacts. These include a designer called naqash who creates the design on graphs, and a coder called talim-guru who encodes that design in a specific notation called talim which is deciphered and interpreted by the weavers to weave the design. The technological interventions over the years have influenced these artifacts considerably and triggered major changes in the practice, from heralding profound cognitive accomplishments in (...)
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  • The gradual evolution of enhanced control by plans: A view from below.Leonard D. Katz - 1993 - Behavioral and Brain Sciences 16 (4):764-765.
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  • Bounded rationality: the two cultures.Konstantinos V. Katsikopoulos - 2014 - Journal of Economic Methodology 21 (4):361-374.
    Research on bounded rationality has two cultures, which I call ‘idealistic’ and ‘pragmatic’. Technically, the cultures differ on whether they build models based on normative axioms or empirical facts, assume that people's goal is to optimize or to satisfice, do not or do model psychological processes, let parameters vary freely or fix them, aim at explanation or prediction and test models from one or both cultures. Each culture tells a story about people's rationality. The story of the idealistic culture is (...)
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  • Memory and social cognition.Yoshihisa Kashima - 1994 - Behavioral and Brain Sciences 17 (4):672-673.
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  • Exploratory behavior without novelty drive?Arthur I. Karshmer, Derek Partridge & Victor Johnson - 1982 - Behavioral and Brain Sciences 5 (4):644-645.
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  • Constructivism without tears.Annette Karmiloff-Smith & Mark H. Johnson - 1991 - Behavioral and Brain Sciences 14 (4):566-566.
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  • Lost in Chelm: Maladaptive behavior in an adaptive model.Stephen Kaplan - 1982 - Behavioral and Brain Sciences 5 (4):643-644.
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  • How to demarcate the boundaries of cognition.David Michael Kaplan - 2012 - Biology and Philosophy 27 (4):545-570.
    Advocates of extended cognition argue that the boundaries of cognition span brain, body, and environment. Critics maintain that cognitive processes are confined to a boundary centered on the individual. All participants to this debate require a criterion for distinguishing what is internal to cognition from what is external. Yet none of the available proposals are completely successful. I offer a new account, the mutual manipulability account, according to which cognitive boundaries are determined by relationships of mutual manipulability between the properties (...)
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  • Taking Stock of Engineering Epistemology: Multidisciplinary Perspectives.Vivek Kant & Eric Kerr - 2019 - Philosophy and Technology 32 (4):685-726.
    How engineers know, and act on that knowledge, has a profound impact on society. Consequently, the analysis of engineering knowledge is one of the central challenges for the philosophy of engineering. In this article, we present a thematic multidisciplinary conceptual survey of engineering epistemology and identify key areas of research that are still to be comprehensively investigated. Themes are organized based on a survey of engineering epistemology including research from history, sociology, philosophy, design theory, and engineering itself. Five major interrelated (...)
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  • Ecology and learning.Alan C. Kamil - 1981 - Behavioral and Brain Sciences 4 (1):147-148.
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  • Creative Evolution.George Kampis - 1993 - World Futures 38 (1):131-137.
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  • Governing social practice.Jannis Kallinikos, Hans Hasselbladh & Attila Marton - 2013 - Theory and Society 42 (4):395-421.
    In this article, we extend the concept of technology beyond the conventional understanding of systems and artifacts as embodiments of particular functionalities that are variously enacted in local settings. Technological artifacts or systems epitomize operational couplings that extend beyond the human-technology interface. Such couplings entail multiple, unobtrusive, back-staged links that evade human interpretation yet are critically involved in the reproduction and control of social relations. Cast in this light, technologies emerge as complex rationalized embodiments for structuring social relationships and, in (...)
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  • A funny thing happened on the way to comparative psychology.James W. Kalat - 1981 - Behavioral and Brain Sciences 4 (1):147-147.
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  • Learning through artifacts: Communities of practice in classrooms. [REVIEW]Yasmin Kafai - 1996 - AI and Society 10 (1):89-100.
    One of the central issues is how the computer can enter in the learning process. A considerable amount of research has examined how children’s interactions and learning with computational artifacts are situated. A different approach focuses on the learning through computational artifacts: what can and do children learn when making a computational artifact? This paper studies the experience of elementary-school students making computer games to teach fractions to younger students. The analysis addresses how the social interactions and the artifact constructions (...)
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  • From discrete actors to goal-directed actions: Toward a process-based methodology for psychology.Endre E. Kadar & Judith A. Effken - 2005 - Philosophical Psychology 18 (3):353 – 382.
    Studying social phenomena is often assumed to be inherently different from studying natural science phenomena. In psychology, this assumption has led to a division of the field into social and experimental domains. The same kind of division has carried over into ecological psychology, despite the fact that Gibson clearly intended his theory for both social and natural phenomena. In this paper, we argue that the social/natural science dichotomy can be derived from a distinction between hermeneutics and science that is deeply (...)
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  • Cognitive Control: Componential and Yet Emergent.Ion Juvina - 2011 - Topics in Cognitive Science 3 (2):242-246.
    In this commentary, I will argue that the componential and emergent views of cognitive control as defined by Cooper (2010) do not necessarily oppose each other, and I will try to make a case for their interdependence. First, I will use the construct of cognitive inhibition—one of the main componential control functions mentioned in the target articles—to illustrate my line of reasoning. Then, I will comment on how some of the target articles, each from a different perspective, bring arguments in (...)
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  • Perceptual units in word recognition.James F. Juola - 1985 - Behavioral and Brain Sciences 8 (4):715-715.
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  • Embodiment and political action.Hwa Yol Jung - 1976 - World Futures 14 (4):367-388.
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  • Book review. [REVIEW]René Jorna - 1994 - Knowledge, Technology & Policy 7 (2):81-86.
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  • Sub-phenomenology.David A. Jopling - 1996 - Human Studies 19 (2):153-73.
    This paper argues that cognitive psychology's practice of explaining mental processes in terms which avoid invoking phenomenology, and the person-level self-conception with which it is associated in common sense psychology, leads to a hybrid Cartesian dualism. Because phenomenology is considered to be fundamentally irrelevant in any scientific explanation of the mind, the person-level is regarded as scientifically invisible: it is a ghost-like housing for sub-personal computational cognition. The problem of explaining how the sub-personal and sub-phenomenological machinery of mind is related (...)
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  • Philosophical and Socio‐Cognitive Foundations for Teaching in Higher Education through Collaborative Approaches to Student Learning.Adrian Jones - 2011 - Educational Philosophy and Theory 43 (9):997-1011.
    This paper considers the implications for higher education of recent work on narrative theory, distributed cognition and artificial intelligence. These perspectives are contrasted with the educational implications of Heidegger's ontological phenomenology [being‐there and being‐aware (Da‐sein)] and with the classic and classical foundations of education which Heidegger and Gadamer once criticised. The aim is to prompt discussion of what teaching might become if psychological insights (about collective minds let loose to learn) are associated with every realm of higher education (not just (...)
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  • On the nature of information in behalf of direct perception.Rebecca K. Jones & Anne D. Pick - 1980 - Behavioral and Brain Sciences 3 (3):388-389.
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  • External Validity and Libraries of Phenomena: A Critique of Guala's Methodology of Experimental Economics.Martin K. Jones - 2011 - Economics and Philosophy 27 (3):247-271.
    Francesco Guala has developed some novel and radical ideas on the problem of external validity, a topic that has not received much attention in the experimental economics literature. In this paper I argue that his views on external validity are not justified and the conclusions which he draws from these views, if widely adopted, could substantially undermine the experimental economics enterprise. In rejecting the justification of these views, the paper reaffirms the importance of experiments in economics.
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  • The “thoughtless imagery” controversy.P. N. Johnson-Laird - 1979 - Behavioral and Brain Sciences 2 (4):557-558.
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  • Direct perception and perceptual processes.Gunnar Johansson, Claes von Hofsten & Gunnar Jansson - 1980 - Behavioral and Brain Sciences 3 (3):388-388.
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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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  • An ecological approach to a theory of learning.Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (1):162-173.
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  • Technology in everyday life: Conceptual queries.Bernward Joerges - 1988 - Journal for the Theory of Social Behaviour 18 (2):219–237.
    According to an editor of The Economist, the world produced, in the years since World War II, seven times more goods than throughout all history. This is well appreciated by lay people, but has hardly affected social scientists. They do not have the conceptual apparatus for understanding accelerated material-technical change and its meaning for people's personal lives, for their ways of relating to them-selves and to the outside world. Of course, a great deal of speculation about emerging life forms in (...)
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  • The evolved mind.Harry J. Jerison - 1993 - Behavioral and Brain Sciences 16 (4):763-764.
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