14 found
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  1. Bottom-Up Recognition Learning: A Compilation-Based Model of Limited-Lookahead Learning.Todd R. Johnson, Jiajie Zhang & Hongbin Wang - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. pp. 469--474.
  2. Isomorphic Representations Lead to the Discovery of Different Forms of a Common Strategy with Different Degrees of Generality.Jiajie Zhang, T. Johnson & Hongbin Wang - 1998 - In M. A. Gernsbacher & S. J. Derry (eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. Lawerence Erlbaum.
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  3.  8
    Adaptive Sliding Mode Fixed-Time Tracking Control Based on Fixed-Time Sliding Mode Disturbance Observer with Dead-Zone Input.Hongbin Wang, Bo Su, Yueling Wang & Jing Gao - 2019 - Complexity 2019:1-14.
    Aiming at the problem of fixed-time trajectory tracking control for high-order dynamic systems with external time-varying disturbance and input dead-zone, an adaptive fixed-time sliding mode control algorithm is proposed by employing a fixed-time sliding mode disturbance observer and high-order fixed-time sliding mode algorithm. Firstly, a FTSMDO is presented for the problem that estimating the compound disturbance is composed of input dead-zone and time-varying external disturbance in the higher-order dynamic system, which cannot be measured accurately. Furthermore, for the case that the (...)
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  4.  41
    Event-Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies.Zhen Zhou, Hongbin Wang & Zhongquan Hu - 2018 - Complexity 2018:1-15.
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  5.  58
    The Relation Between Order Effects and Frequency Learning in Tactical Decision Making.Jiajie Zhang, Todd R. Johnson & Hongbin Wang - 1998 - Thinking and Reasoning 4 (2):123-145.
    This article presents three experiments that examine the relation between order effects and frequency learning, with the following results. First, when frequencies of occurrence are presented as sequences of real events, base rates can be learned and used with a high degree of accuracy. However, conditional probabilities for multiple sequentially presented evidence items cannot be completely learned, due to the distortion of a recency order effect for actual decisions. Second, there is also a recency order effect for belief evaluations, which (...)
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  6.  3
    Postscript: Untangling the Gambler’s Fallacy.Yanlong Sun, Ryan D. Tweney & Hongbin Wang - 2010 - Psychological Review 117 (2):704-705.
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  7.  2
    Occurrence and Nonoccurrence of Random Sequences: Comment on Hahn and Warren.Yanlong Sun, Ryan D. Tweney & Hongbin Wang - 2010 - Psychological Review 117 (2):697-703.
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  8.  76
    On Quantum Models of the Human Mind.Hongbin Wang & Yanlong Sun - 2014 - Topics in Cognitive Science 6 (1):98-103.
    Recent years have witnessed rapidly increasing interests in developing quantum theoretical models of human cognition. Quantum mechanisms have been taken seriously to describe how the mind reasons and decides. Papers in this special issue report the newest results in the field. Here we discuss why the two levels of commitment, treating the human brain as a quantum computer and merely adopting abstract quantum probability principles to model human cognition, should be integrated. We speculate that quantum cognition models gain greater modeling (...)
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  9.  15
    A Multilevel Approach to Modeling Human Cognition.Hongbin Wang, Todd R. Johnson & Jiajie Zhang - 2003 - Behavioral and Brain Sciences 26 (5):626-627.
    Although we agree with Newell and Anderson & Lebiere (A&L) that a unified theory of cognition is needed to advance cognitive science, we disagree on how to achieve it. A hybrid system can score high in the Newell Test but may not offer a veridical and coherent theory of cognition. A multilevel approach, involving theories at both psychological and brain levels, is suggested.
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  10.  32
    Base-Rate Neglect and Coarse Probability Representation.Yanlong Sun & Hongbin Wang - 2007 - Behavioral and Brain Sciences 30 (3):282-282.
    We believe that when assessing the likelihood of uncertain events, statistically unsophisticated people utilize a coarse internal scale that only has a limited number of categories. The success of the nested sets hypothesis may lie in its ability to provide an appropriate set structure of the problem by reducing the computational demands.
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  11.  20
    Representing is More Than Emulating.Hongbin Wang & Yingrui Yang - 2004 - Behavioral and Brain Sciences 27 (3):420-421.
    Mental representations are more than emulations. Different types of representations, including external representations, various mental models (distorted and abstract), and emulative models, can all play important roles in human cognition. To explain cognitive performance in a specific task, a systematic analysis of the underlying representational structures and their interactions is needed.
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  12.  11
    Probability Theory and Perception of Randomness: Bridging “Ought” and “Is”.Yanlong Sun & Hongbin Wang - 2011 - Behavioral and Brain Sciences 34 (5):271-272.
    We argue that approaches adhering to normative systems can be as fruitful as those by descriptive systems. In measuring people's perception of randomness, discrepancies between human behavior and normative models could have resulted from unknown properties of the models, and it does not necessarily lead to the conclusion that people are irrational or that the normative system has to be abandoned.
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  13. Order Effects and Frequency Learning in Belief Updating.Jiajie Zhang, Todd R. Johnson & Hongbin Wang - 1996 - In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum. pp. 708--713.
     
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  14.  7
    Skill Acquisition: Models.Todd R. Johnson, Hongbin Wang & Jiajie Zhang - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.