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  1. Cybrid principles: guidelines for merging physical and cyberspaces.Peter Anders - 2004 - Technoetic Arts 2 (3):133-146.
    This paper introduces seven principles for the design of mixed reality compositions. Despite the novelty of this technology, we have derived the principles from the basic human needs served by traditional architecture as well as those that have arisen since the introduction of information technologies. These principles draw also from research in cognitive science and the recognition of the multivalent, psychosomatic nature of space.
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  • Anthropology in Cognitive Science.Andrea Bender, Edwin Hutchins & Douglas Medin - 2010 - Topics in Cognitive Science 2 (3):374-385.
    This paper reviews the uneven history of the relationship between Anthropology and Cognitive Science over the past 30 years, from its promising beginnings, followed by a period of disaffection, on up to the current context, which may lay the groundwork for reconsidering what Anthropology and (the rest of) Cognitive Science have to offer each other. We think that this history has important lessons to teach and has implications for contemporary efforts to restore Anthropology to its proper place within Cognitive Science. (...)
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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.
  • Media, Knowledge & Education - Exploring new Spaces, Relations and Dynamics in Digital Media Ecologies.Theo Hug (ed.) - 2008 - Innsbruck University Press.
     
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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.
  • 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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  • Missing variables in studies of animal learning.Wally Welker - 1981 - Behavioral and Brain Sciences 4 (1):161-161.
  • The remembered present: A biological theory of consciousness.Stephen W. Smoliar - 1991 - Artificial Intelligence 52 (3):295-318.
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  • An ecological theory of learning: Good goal, poor strategy.Sara J. Shettleworth - 1981 - Behavioral and Brain Sciences 4 (1):160-161.
  • The ecology of learning: The right answer to the wrong question.Barry Schwartz - 1981 - Behavioral and Brain Sciences 4 (1):159-160.
  • Adaptive modification of behavior: Processing information from the environment.Wolfgang M. Schleidt - 1981 - Behavioral and Brain Sciences 4 (1):158-159.
  • Action, connectionism and enaction: A developmental perspective. [REVIEW]Julie C. Rutkowska - 1990 - AI and Society 4 (2):96-114.
    This article compares the potential of classical and connectionist computational concepts for explanations of innate infant knowledge and of its development. It focuses on issues relating to: the perceptual process; the control and form(s) of perceptual-behavioural coordination; the role of environmental structure in the organization of action; and the construction of novel forms of activity. There is significant compatibility between connectionist and classical views of computation, though classical concepts are, at present, better able to provide a comprehensive computational view of (...)
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  • Explaining diversity and searching for general processes: Isn't there a middle ground?Paul Rozin - 1981 - Behavioral and Brain Sciences 4 (1):157-158.
  • Known general principles of learning cannot be ignored.Sam Revusky - 1981 - Behavioral and Brain Sciences 4 (1):156-157.
  • Bridging Museum Mission to Visitors’ Experience: Activity, Meanings, Interactions, Technology.Annamaria Recupero, Alessandra Talamo, Stefano Triberti & Camilla Modesti - 2019 - Frontiers in Psychology 10:486454.
    In recent years, the contribution of various disciplines and professionals (i.e. from marketing, computer science, psychology and pedagogy) to museum management has encouraged the development of a new conception of museology. Specifically, psychology has affected the overall conception of museum and the visitors towards a more holistic vision of the museum experience as a complexity of memory, personal drives, group identity, meaning-making process, as well as leisure preferences. In this regard, psychological research contributes to advance the scientific knowledge about psychological (...)
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  • Learning theory in its niche.Howard Rachlin - 1981 - Behavioral and Brain Sciences 4 (1):155-156.
  • Is an ecological approach radical enough?H. C. Plotkin & F. J. Odling-Smee - 1981 - Behavioral and Brain Sciences 4 (1):154-155.
  • A functional view of learning.Lewis Petrinovich - 1981 - Behavioral and Brain Sciences 4 (1):153-154.
  • Learning theory: Behavioral artifacts or general principles?John A. Nevin - 1981 - Behavioral and Brain Sciences 4 (1):152-153.
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  • A fourth approach to the study of learning: Are “processes” really necessary?John C. Malone - 1981 - Behavioral and Brain Sciences 4 (1):151-152.
  • Species differences and principles of learning: Informed generality.A. W. Logue - 1981 - Behavioral and Brain Sciences 4 (1):150-151.
  • General process theory, ecology, and animal-human continuity: A cognitive perspective.Janet L. Lachman & Roy Lachman - 1981 - Behavioral and Brain Sciences 4 (1):149-150.
  • The ecological approach to learning.John Kruse & Edward Reed - 1981 - Behavioral and Brain Sciences 4 (1):148-149.
  • Ecology and learning.Alan C. Kamil - 1981 - Behavioral and Brain Sciences 4 (1):147-148.
  • A funny thing happened on the way to comparative psychology.James W. Kalat - 1981 - Behavioral and Brain Sciences 4 (1):147-147.
  • An ecological approach to a theory of learning.Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (1):162-173.
  • Biological approaches to the study of learning: Does Johnston provide a new alternative?Robert A. Hinde - 1981 - Behavioral and Brain Sciences 4 (1):146-147.
  • Discussing learning: The quandary of substance.Jack P. Hailman - 1981 - Behavioral and Brain Sciences 4 (1):146-146.
  • The relevance of phylogenetics to the study of behavioral diversity.Michael T. Ghiselin - 1981 - Behavioral and Brain Sciences 4 (1):144-145.
  • The nature of learning explanations.John Garcia - 1981 - Behavioral and Brain Sciences 4 (1):143-144.
  • An ecological approach toward a unified theory of learning.William R. Charlesworth - 1981 - Behavioral and Brain Sciences 4 (1):142-143.
  • Current Perspectives on Cognitive Diversity.Andrea Bender & Sieghard Beller - 2016 - Frontiers in Psychology 7.
  • Linking the biological functions and the mechanisms of learning: Uses and abuses.Patrick Bateson - 1981 - Behavioral and Brain Sciences 4 (1):142-142.
  • A theory of learning - not even déjà vu.George W. Barlow & Stephen E. Glickman - 1981 - Behavioral and Brain Sciences 4 (1):141-142.
  • A pilgrim's progress: From cognitive science to cooperative design. [REVIEW]Liam J. Bannon - 1989 - AI and Society 4 (4):259-275.
    This paper provides a glimpse of some different theoretical frameworks and empirical methods in the author's search for theories and practices that might improve the utility and usability of computer artifacts. The essay touches on some problematic aspects of currently accepted theories and techniques in the cognitive sciences, especially in their application to the field of human-computer interaction, and mentions some alternative conceptions based on a cultural-historical approach. The intent is to widen the nature of the debate about appropriate frameworks (...)
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  • Culture and Cognitive Science.Michael Cole - 2003 - Outlines. Critical Practice Studies 5 (1):3-15.
    The purpose of this paper is to review the way in which cultural contributions to human nature have been treated within the field of cognitive science. I was initially motivated to write about this topic when invited to give a talk to a Cognitive Science department at a sister university in California a few years ago. My goal, on that occasion, was to convince my audience, none of whom were predisposed to considering culture an integral part of cognitive science, that (...)
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  • The Epistemology of Geometry I: the Problem of Exactness.Anne Newstead & Franklin James - 2010 - Proceedings of the Australasian Society for Cognitive Science 2009.
    We show how an epistemology informed by cognitive science promises to shed light on an ancient problem in the philosophy of mathematics: the problem of exactness. The problem of exactness arises because geometrical knowledge is thought to concern perfect geometrical forms, whereas the embodiment of such forms in the natural world may be imperfect. There thus arises an apparent mismatch between mathematical concepts and physical reality. We propose that the problem can be solved by emphasizing the ways in which the (...)
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