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  1. More Thumbs Than Rules: Is Rationality an Exaptation?Antonio Mastrogiorgio, Teppo Felin, Stuart Kauffman & Mariano Mastrogiorgio - 2022 - Frontiers in Psychology 13.
    The literatures on bounded and ecological rationality are built on adaptationism—and its associated modular, cognitivist and computational paradigm—that does not address or explain the evolutionary origins of rationality. We argue that the adaptive mechanisms of evolution are not sufficient for explaining human rationality, and we posit that human rationality presents exaptive origins, where exaptations are traits evolved for other functions or no function at all, and later co-opted for new uses. We propose an embodied reconceptualization of rationality—embodied rationality—based on the (...)
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  • Of Hubert Dreyfus and dead horses: some thoughts on Dreyfus' What Computers Still Can't Do.Timothy Koschmann - 1996 - Artificial Intelligence 80 (1):129-141.
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  • Reasoning agents in a dynamic world: The frame problem.Jozsef A. Toth - 1995 - Artificial Intelligence 73 (1-2):323-369.
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  • The Being of Leadership.Wiley W. Souba - 2011 - Philosophy, Ethics, and Humanities in Medicine 6:5.
    The ethical foundation of the medical profession, which values service above reward and holds the doctor-patient relationship as inviolable, continues to be challenged by the commercialization of health care. This article contends that a realigned leadership framework - one that distinguishes being a leader as the ontological basis for what leaders know, have, and do - is central to safeguarding medicine's ethical foundation. Four ontological pillars of leadership - awareness, commitment, integrity, and authenticity - are proposed as fundamental elements that (...)
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  • The Notion of Dynamic Unit: Conceptual Developments in Cognitive Science.Nili Mandelblit & Oron Zachar - 1998 - Cognitive Science 22 (2):229-268.
    We suggest a common ground for alternative proposals In different domains of cognitive science which have previously seemed to have little in common. The underlying common theme is associated with a redefinition of the basic unit of analysis in each domain of thought. Our framework suggests a definition of unity which is based not on inherent properties of the elements constituting the unit, but rather on dynamic patterns of correlation across the elements. We introduce a set of features that characterize (...)
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  • Social Context in HCl: A New Framework for Mental Models, Cooperation, and Communication.Giuseppe Mantovani - 1996 - Cognitive Science 20 (2):237-269.
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  • Convention in joint activity.Richard Alterman & Andrew Garland - 2001 - Cognitive Science 25 (4):611-657.
    Conventional behaviors develop from practice for regularly occurring problems of coordination within a community of actors. Reusing and extending conventional methods for coordinating behavior is the task of everyday reasoning.The computational model presented in the paper details the emergence of convention in circumstances where there is no ruling body of knowledge developed by prior generations of actors within the community to guide behavior. The framework we assume combines social theories of cognition with human information processing models that have been developed (...)
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  • The Generality/Specificity of Expertise in Scientific Reasoning.Christian D. Schunn & John R. Anderson - 1999 - Cognitive Science 23 (3):337-370.
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  • Embodied artificial intelligence.Ron Chrisley - 2003 - Artificial Intelligence 149 (1):131-150.
    Mike Anderson1 has given us a thoughtful and useful field guide: Not in the genre of a bird-watcher’s guide which is carried in the field and which contains detailed descriptions of possible sightings, but in the sense of a guide to a field (in this case embodied cognition) which aims to identify that field’s general principles and properties. I’d like to make some comments that will hopefully complement Anderson’s work, highlighting points of agreement and disagreement between his view of the (...)
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  • The biology of consciousness: Comparative review of Rosenfield and Edelman.William J. Clancey - 1993 - Artificial Intelligence 60 (2):313-356.
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