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  1. The multiple, interacting levels of cognitive systems perspective on group cognition.Robert L. Goldstone & Georg Theiner - 2017 - Philosophical Psychology 30 (3):334-368.
    In approaching the question of whether groups of people can have cognitive capacities that are fundamentally different than the cognitive capacities of the individuals within the group, we lay out a Multiple, Interactive Levels of Cognitive Systems (MILCS) framework. The goal of MILCS is to explain the kinds of cognitive processes typically studied by cognitive scientists, such as perception, attention, memory, categorization, decision making, problem solving, and judgment. Rather than focusing on high-level constructs such as modules in an information processing (...)
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  • The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
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  • Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Cynthia Rudin - 2019 - Nature Machine Intelligence 1.
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  • The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.Rafal Bogacz, Eric Brown, Jeff Moehlis, Philip Holmes & Jonathan D. Cohen - 2006 - Psychological Review 113 (4):700-765.
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  • The i-frame and the s-frame: How focusing on individual-level solutions has led behavioral public policy astray.Nick Chater & George Loewenstein - 2023 - Behavioral and Brain Sciences 46:e147.
    An influential line of thinking in behavioral science, to which the two authors have long subscribed, is that many of society's most pressing problems can be addressed cheaply and effectively at the level of the individual, without modifying the system in which the individual operates. We now believe this was a mistake, along with, we suspect, many colleagues in both the academic and policy communities. Results from such interventions have been disappointingly modest. But more importantly, they have guided many (though (...)
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  • Being There: Putting Brain, Body and World Together Again.Tim van Gelder & Andy Clark - 1998 - Philosophical Review 107 (4):647.
    A great deal of philosophy of mind in the modern era has been driven by an intense aversion to Cartesian dualism. In the 1950s, materialists claimed to have succeeded once and for all in exorcising the Cartesian ghost by identifying the mind with the brain. In subsequent decades, cognitive science put scientific meat on this metaphysical skeleton by explicating mental processes as digital computation implemented in the brain's hardware.
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  • A sampling model of social judgment.Mirta Galesic, Henrik Olsson & Jörg Rieskamp - 2018 - Psychological Review 125 (3):363-390.
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  • Feature discovery by competitive learning.David E. Rumelhart & David Zipser - 1985 - Cognitive Science 9 (1):75-112.
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  • Improving Medical Image Decision‐Making by Leveraging Metacognitive Processes and Representational Similarity.Eeshan Hasan, Quentin Eichbaum, Adam C. Seegmiller, Charles Stratton & Jennifer S. Trueblood - 2022 - Topics in Cognitive Science 14 (2):400-413.
    We compare methods of aggregating repeated decisions from a single decision maker to improve medical image decision making using metacognitive processes (confidence judgments) and representational similarity from artificial neural networks for both novice and expert participants.
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