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  1. Representation and mental representation.Robert D. Rupert - 2018 - Philosophical Explorations 21 (2):204-225.
    This paper engages critically with anti-representationalist arguments pressed by prominent enactivists and their allies. The arguments in question are meant to show that the “as-such” and “job-description” problems constitute insurmountable challenges to causal-informational theories of mental content. In response to these challenges, a positive account of what makes a physical or computational structure a mental representation is proposed; the positive account is inspired partly by Dretske’s views about content and partly by the role of mental representations in contemporary cognitive scientific (...)
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  • Soar and the case for unified theories of cognition.Richard Cooper & Tim Shallice - 1995 - Cognition 55 (2):115-149.
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  • On Unified Theories of Cognition: a response to the reviews.Paul S. Rosenbloom & John E. Laird - 1993 - Artificial Intelligence 59 (1-2):389-413.
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  • Approaches to the study of intelligence.Donald A. Norman - 1991 - Artificial Intelligence 47 (1-3):327-346.
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  • Simulating organizational decision-making using a cognitively realistic agent model.Ron Sun - manuscript
    Most of the work in agent-based social simulation has assumed highly simplified agent models, with little attention being paid to the details of individual cognition. Here, in an effort to counteract that trend, we substitute a realistic cognitive agent model (CLARION) for the simpler models previously used in an organizational design task. On that basis, an exploration is made of the interaction between the cognitive parameters that govern individual agents, the placement of agents in different organizational structures, and the performance (...)
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  • Bounding the cost of learned rules.Jihie Kim & Paul S. Rosenbloom - 2000 - Artificial Intelligence 120 (1):43-80.
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  • (2 other versions)Foundations of AI: The big issues.David Kirsh - 1991 - Artificial Intelligence 47 (1-3):3-30.
    The objective of research in the foundations of Al is to explore such basic questions as: What is a theory in Al? What are the most abstract assumptions underlying the competing visions of intelligence? What are the basic arguments for and against each assumption? In this essay I discuss five foundational issues: (1) Core Al is the study of conceptualization and should begin with knowledge level theories. (2) Cognition can be studied as a disembodied process without solving the symbol grounding (...)
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  • Investigating production system representations for non-combinatorial match.Milind Tambe & Paul S. Rosenbloom - 1994 - Artificial Intelligence 68 (1):155-199.
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  • A cognitively based simulation of simple organizations.Ron Sun & Isaac Naveh - unknown
    This paper explores cognitively realistic social simulations by deploying the CLARION cognitive architecture in a simple organizational simulation, which involves the interaction of multiple cognitive agents. It argues for an integration of the two separate strands of research: cognitive modeling and social simulation. Such an integration could, on the one hand, enhance the accuracy of social simulation models by taking into full account the effects of individual cognitive factors, and on the other hand, it could lead to greater explanatory, predictive, (...)
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  • Directions in Connectionist Research: Tractable Computations Without Syntactically Structured Representations.Jonathan Waskan & William Bechtel - 1997 - Metaphilosophy 28 (1‐2):31-62.
    Figure 1: A pr ototyp ical exa mple of a three-layer feed forward network, used by Plunkett and M archm an (1 991 ) to simulate learning the past-tense of En glish verbs. The inpu t units encode representations of the three phonemes of the present tense of the artificial words used in this simulation. Th e netwo rk is trained to produce a representation of the phonemes employed in the past tense form and the suffix (/d/, /ed/, or /t/) (...)
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  • Basic functional trade-offs in cognition: An integrative framework.Marco Del Giudice & Bernard J. Crespi - 2018 - Cognition 179 (C):56-70.
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  • A Biologically Plausible Action Selection System for Cognitive Architectures: Implications of Basal Ganglia Anatomy for Learning and Decision‐Making Models.Andrea Stocco - 2018 - Cognitive Science 42 (2):457-490.
    Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's disease as (...)
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  • Book reviews. [REVIEW]Frank E. Ritter, Christopher Gauker, W. Kent Wilson, Robert M. Francescotti, John Bricke, Willem de Vries & Reinaldo Elugardo - 1995 - Philosophical Psychology 8 (3):301-325.
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  • Reflections on the knowledge level.Allen Newell - 1993 - Artificial Intelligence 59 (1-2):31-38.
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  • Comprehension‐Based Skill Acquisition.Stephanie M. Doane, Young Woo Sohn, Danielle S. McNamara & David Adams - 2000 - Cognitive Science 24 (1):1-52.
    We present a comprehension‐based computational model of UNIX user skill acquisition and performance in a training context (UNICOM). The work extends a comprehension‐based theory of planning to account for skill acquisition and learning. Individual models of 22 UNIX users were constructed and used to simulate user performance on successive command production problems in a training context. Comparisons of model and the human empirical data result in a high degree of agreement, validating the ability of UNICOM to predict user response to (...)
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  • A systematic methodology for cognitive modelling.R. Cooper, J. Fox, J. Farringdon & T. Shallice - 1996 - Artificial Intelligence 85 (1-2):3-44.
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  • Wittgenstein on Incompleteness Makes Paraconsistent Sense.Francesco Berto - 2013 - In Francesco Berto, Edwin Mares, Koji Tanaka & Francesco Paoli (eds.), Paraconsistency: Logic and Applications. Dordrecht, Netherland: Springer. pp. 257--276.
    I provide an interpretation of Wittgenstein's much criticized remarks on Gödel's First Incompleteness Theorem in the light of paraconsistent arithmetics: in taking Gödel's proof as a paradoxical derivation, Wittgenstein was right, given his deliberate rejection of the standard distinction between theory and metatheory. The reasoning behind the proof of the truth of the Gödel sentence is then performed within the formal system itself, which turns out to be inconsistent. I show that the models of paraconsistent arithmetics (obtained via the Meyer-Mortensen (...)
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