16 found
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  1.  19
    An Integrated Theory of the Mind.John R. Anderson, Daniel Bothell, Michael D. Byrne, Scott Douglass, Christian Lebiere & Yulin Qin - 2004 - Psychological Review 111 (4):1036-1060.
  2. The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments.Antonio Lieto, Christian Lebiere & Alessandro Oltramari - 2017 - Cognitive Systems Research:1-42.
    In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build arti cial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of the (...)
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  3. Higher-Level Knowledge, Rational and Social Levels Constraints of the Common Model of the Mind.Antonio Lieto, William G. Kennedy, Christian Lebiere, Oscar Romero, Niels Taatgen & Robert West - forthcoming - Procedia Computer Science.
    In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve its goals" [22, (...)
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  4.  7
    Conditional Routing of Information to the Cortex: A Model of the Basal Ganglia’s Role in Cognitive Coordination.Andrea Stocco, Christian Lebiere & John R. Anderson - 2010 - Psychological Review 117 (2):541-574.
  5.  69
    The Newell Test for a Theory of Cognition.John R. Anderson & Christian Lebiere - 2003 - Behavioral and Brain Sciences 26 (5):587-601.
    Newell proposed that cognitive theories be developed in an effort to satisfy multiple criteria and to avoid theoretical myopia. He provided two overlapping lists of 13 criteria that the human cognitive architecture would have to satisfy in order to be functional. We have distilled these into 12 criteria: flexible behavior, real-time performance, adaptive behavior, vast knowledge base, dynamic behavior, knowledge integration, natural language, learning, development, evolution, and brain realization. There would be greater theoretical progress if we evaluated theories by a (...)
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  6.  36
    Instance‐Based Learning in Dynamic Decision Making.Cleotilde Gonzalez, Javier F. Lerch & Christian Lebiere - 2003 - Cognitive Science 27 (4):591-635.
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  7.  33
    Mission Command in the Age of Network-Enabled Operations: Social Network Analysis of Information Sharing and Situation Awareness.Norbou Buchler, Sean M. Fitzhugh, Laura R. Marusich, Diane M. Ungvarsky, Christian Lebiere & Cleotilde Gonzalez - 2016 - Frontiers in Psychology 7.
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  8.  2
    Cognitive Models in Cybersecurity: Learning From Expert Analysts and Predicting Attacker Behavior.Vladislav D. Veksler, Norbou Buchler, Claire G. LaFleur, Michael S. Yu, Christian Lebiere & Cleotilde Gonzalez - 2020 - Frontiers in Psychology 11.
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  9. Balancing Long-Term Reinforcement and Short-Term Inhibition.Christian Lebiere & Bradley J. Best - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  10.  94
    ACT-R: A Higher-Level Account of Processing Capacity.John R. Anderson, Christian Lebiere, Marsha Lovett & Lynne Reder - 1998 - Behavioral and Brain Sciences 21 (6):831-832.
    We present an account of processing capacity in the ACT-R theory. At the symbolic level, the number of chunks in the current goal provides a measure of relational complexity. At the subsymbolic level, limits on spreading activation, measured by the attentional parameter W, provide a theory of processing capacity, which has been applied to performance, learning, and individual differences data.
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  11.  11
    Learning Rapid and Precise Skills.John R. Anderson, Shawn Betts, Daniel Bothell, Ryan Hope & Christian Lebiere - 2019 - Psychological Review 126 (5):727-760.
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  12. Error Modeling in the ACT-R Production System.Christian Lebière, John R. Anderson & Lynne M. Reder - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 555--559.
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  13.  33
    Optimism for the Future of Unified Theories.John R. Anderson & Christian Lebiere - 2003 - Behavioral and Brain Sciences 26 (5):628-633.
    The commentaries on our article encourage us to believe that researchers are beginning to take seriously the goal of achieving the broad adequacy that Newell aspired to. The commentators offer useful elaborations to the criteria we suggested for the Newell Test. We agree with many of the commentators that classical connectionism is too restrictive to achieve this broad adequacy, and that other connectionist approaches are not so limited and can deal with the symbolic components of thought. All these approaches, including (...)
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  14.  36
    Implicit and Explicit Learning in a Hybrid Architecture of Cognition.Christian Lebiere & Dieter Wallach - 1999 - Behavioral and Brain Sciences 22 (5):772-773.
    We present a theoretical account of implicit and explicit learning in terms of ACT-R, an integrated architecture of human cognition as a computational supplement to Dienes & Perner's conceptual analysis of knowledge. Explicit learning is explained in ACT-R by the acquisition of new symbolic knowledge, whereas implicit learning amounts to statistically adjusting subsymbolic quantities associated with that knowledge. We discuss the common foundation of a set of models that are able to explain data gathered in several signature paradigms of implicit (...)
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  15.  29
    The B-I-C-a of Biologically Inspired Cognitive Architectures.Andrea Stocco, Christian Lebiere & Alexei V. Samsonovich - 2010 - International Journal of Machine Consciousness 2 (2):171-192.
  16.  9
    Cognitive Architectures Combine Formal and Heuristic Approaches.Cleotilde Gonzalez & Christian Lebiere - 2013 - Behavioral and Brain Sciences 36 (3):285 - 286.
    Quantum probability (QP) theory provides an alternative account of empirical phenomena in decision making that classical probability (CP) theory cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP. They provide simple and natural explanations of these phenomena based on general cognitive processes such as memory retrieval, similarity-based partial matching, and associative learning.
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