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  1. Michael G. Dyer & Boelter Hall, Computationalism, Neural Networks and Minds, Analog or Otherwise.
    A working hypothesis of computationalism is that Mind arises, not from the intrinsic nature of the causal properties of particular forms of matter, but from the organization of matter. If this hypothesis is correct, then a wide range of physical systems (e.g. optical, chemical, various hybrids, etc.) should support Mind, especially computers, since they have the capability to create/manipulate organizations of bits of arbitrarily complexity and dynamics. In any particular computer, these bit patterns are quite physical, but their particular physicality (...)
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  2. Michael G. Dyer (2006). Will the Neural Blackboard Architecture Scale Up to Semantics? Behavioral and Brain Sciences 29 (1):77-78.
    The neural blackboard architecture is a localist structured connectionist model that employs a novel connection matrix to implement dynamic bindings without requiring propagation of temporal synchrony. Here I note the apparent need for many distinct matrices and the effect this might have for scale-up to semantic processing. I also comment on the authors' initial foray into the symbol grounding problem.
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  3. Michael G. Dyer (2000). Understanding Language Understanding: Computational Models of Reading Edited by Ashwin Ram and Kenneth Moorman. Trends in Cognitive Sciences 4 (1):35.
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  4. Trent E. Lange & Michael G. Dyer (1996). Parallel Reasoning in Structured Connectionist Networks: Signatures Versus Temporal Synchrony. Behavioral and Brain Sciences 19 (2):328.
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  5. Michael G. Dyer (1994). Quantum Physics and Consciousness, Creativity, Computers: A Commentary on Goswami's Quantum-Based Theory of Consciousness and Free Will. Journal of Mind and Behavior 15 (3):265-90.
  6. Michael G. Dyer (1991). Connectionism Versus Symbolism in High-Level Cognition. In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer. 382--416.
  7. Risto Miikkulainen & Michael G. Dyer (1991). Natural Language Processing With Modular Pdp Networks and Distributed Lexicon. Cognitive Science 15 (3):343-399.
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  8. Michael G. Dyer (1990). Finding Lost Minds. Journal of Experimental and Theoretical Artificial Intelligence 2:329-39.
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  9. Michael G. Dyer (1990). Intentionality and Computationalism: Minds, Machines, Searle and Harnad. Journal of Experimental and Theoretical Artificial Intelligence 2:303-19.
  10. Michael G. Dyer (1988). The Promise and Problems of Connectionism. Behavioral and Brain Sciences 11 (1):32.
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  11. Michael G. Dyer (1987). Emotions and Their Computations: Three Computer Models. Cognition and Emotion 1 (3):323-347.
  12. Michael G. Dyer (1983). The Point of Thematic Abstraction Units. Behavioral and Brain Sciences 6 (4):599.
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  13. Michael G. Dyer (1983). The Role of Affect in Narratives. Cognitive Science 7 (3):211-242.
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