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  1. Neurodemocracy: Self-Organization of the Embodied Mind.Linus Huang - 2017 - Dissertation, University of Sydney
    This thesis contributes to a better conceptual understanding of how self-organized control works. I begin by analyzing the control problem and its solution space. I argue that the two prominent solutions offered by classical cognitive science (centralized control with rich commands, e.g., the Fodorian central systems) and embodied cognitive science (distributed control with simple commands, such as the subsumption architecture by Rodney Brooks) are merely two positions in a two-dimensional solution space. I outline two alternative positions: one is distributed control (...)
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  • Swahili conditional constructions in embodied Frames of Reference: Modeling semantics, pragmatics, and context-sensitivity in UML mental spaces.Roderick Fish - 2020 - Dissertation, Trinity Western University
    Studies of several languages, including Swahili [swa], suggest that realis (actual, realizable) and irrealis (unlikely, counterfactual) meanings vary along a scale (e.g., 0.0–1.0). T-values (True, False) and P-values (probability) account for this pattern. However, logic cannot describe or explain (a) epistemic stances toward beliefs, (b) deontic and dynamic stances toward states-of-being and actions, and (c) context-sensitivity in conditional interpretations. (a)–(b) are deictic properties (positions, distance) of ‘embodied’ Frames of Reference (FoRs)—space-time loci in which agents perceive and from which they contextually (...)
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  • Evolutionary psychology versus Fodor: Arguments for and against the massive modularity hypothesis.Willem E. Frankenhuis & Annemie Ploeger - 2007 - Philosophical Psychology 20 (6):687 – 710.
    Evolutionary psychologists tend to view the mind as a large collection of evolved, functionally specialized mechanisms, or modules. Cosmides and Tooby (1994) have presented four arguments in favor of this model of the mind: the engineering argument, the error argument, the poverty of the stimulus argument, and combinatorial explosion. Fodor (2000) has discussed each of these four arguments and rejected them all. In the present paper, we present and discuss the arguments for and against the massive modularity hypothesis. We conclude (...)
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  • The automatic and the ballistic: Modularity beyond perceptual processes.Eric Mandelbaum - 2015 - Philosophical Psychology 28 (8):1147-1156.
    Perceptual processes, in particular modular processes, have long been understood as being mandatory. But exactly what mandatoriness amounts to is left to intuition. This paper identifies a crucial ambiguity in the notion of mandatoriness. Discussions of mandatory processes have run together notions of automaticity and ballisticity. Teasing apart these notions creates an important tool for the modularist's toolbox. Different putatively modular processes appear to differ in their kinds of mandatoriness. Separating out the automatic from the ballistic can help the modularist (...)
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  • Layers in the fabric of mind: A critical review of cognitive ontogeny.G. Nagarjuna - 2006 - In Jayashree Ramadas & Sugra Chunawala (eds.), Research Trends in Science, Technology and Mathematics Education. Homi Bhabha Centre for Science Education, TIFR.
    The essay is critically examines the conceptual problems with the influential modularity model of mind. We shall see that one of the essential characters of modules, namely informational encapsulation, is not only inessential, it ties a knot at a crucial place blocking the solution to the problem of understanding the formation of concepts from percepts (nodes of procedural knowledge). Subsequently I propose that concept formation takes place by modulation of modules leading to cross-representations, which were otherwise prevented by encapsulation. It (...)
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  • Can massive modularity explain human intelligence? Information control problem and implications for cognitive architecture.Linus Ta-Lun Huang - 2021 - Synthese 198 (9):8043-8072.
    A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural commitments and its reliance on heuristic information processing. I argue instead that the real trouble lies in its commitment to nativism—recent massive modularity models, despite incorporating mechanisms for learning and self-organization, still cannot learn to control information flexibly enough. (...)
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  • The challenge of knowledge soup.John F. Sowa - 2006 - In Jayashree Ramadas & Sugra Chunawala (eds.), Research Trends in Science, Technology and Mathematics Education. Homi Bhabha Centre for Science Education, TIFR. pp. 55--90.
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