Results for 'Qun Sun'

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  1.  16
    Nonfragile Finite-Time Extended Dissipative Control for a Class of Uncertain Switched Neutral Systems.Hui Gao, Jianwei Xia, Guangming Zhuang, Zhen Wang & Qun Sun - 2017 - Complexity:1-22.
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  2.  1
    Effects of Male DefendantsAttractiveness and Trustworthiness on Simulated Judicial Decisions in Two Different Swindles.Qun Yang, Bing Zhu, Qian Zhang, Yuchao Wang, Ruiheng Hu, Shengmin Liu & Delin Sun - 2019 - Frontiers in Psychology 10.
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  3. Bian Jie Shang de Xing Zhe: Sun Zhouxing Xue Shu Sui Bi.Zhouxing Sun - 2011 - Shanghai Ren Min Chu Ban She.
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  4. Sun Bokui Zhe Xue Wen Cun =.Bokui Sun - 2010 - Jiangsu Ren Min Chu Ban She.
    v. 1. Tan suo zhe dao lu de tan suo -- v. 2. Lukaqi yu Makesi -- v. 3. Makesi zhu yi zhe xue ji ben wen ti (...)yan jiu -- v. 4. Makesi zhu yi zhe xue jing dian wen xian yan jiu. (shrink)
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  5. Sun Guohua Zi Xuan Ji.Guohua Sun - 2007 - Zhongguo Ren Min da Xue Chu Ban She.
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  6. Sun Zhengyu Zhe Xue Wen Ji.Zhengyu Sun - 2007 - Jinlin Ren Min Chu Ban She.
    v.1. zhe xue de mu guang -- v.2. shu ren de shi jie -- v.3. tan suo zhen shan mei -- v.4. chong gao de wei (...)zhi -- v.5. zhe xue guan yan jiu -- v.6-7. bian zheng fa yan jiu -- v.8-9. zhe xue tong lun. (shrink)
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  7.  10
    Two-Parameter Prestack Seismic Inversion of Porosity and Pore Structure Parameter of Fractured Carbonate Reservoirs: Part 1Methods.Tingting Zhang & Yuefeng Sun - 2018 - Interpretation: SEG 6 (4):SM1-SM8.
    Fractured zones in deeply buried carbonate hills are important because they often have better permeability resulting in prolific production than similar low-porosity rocks. Nevertheless, their detection (...)poses great challenge to conventional seismic inversion methods because they are mostly low in acoustic impedance and bulk modulus, hardly distinguishable from high-porosity zones or mudstones. A proxy parameter of pore structure defined in a rock-physics model, the so-called Sun model, has been used for delineating fractured zones in which the pore structure parameter is relatively high, whereas the porosity is low in general. Simultaneous seismic inversion of the pore structure parameter and porosity proves to be difficult and nontrivial in practice. Although the pore structure parameter is well-defined at locations where density, P-, and S-velocity are known from logs, estimation of P- and S-velocity information, especially density information from prestack seismic data is rather challenging. A three-step iterative inversion method, which uses acoustic, gradient, and elastic impedance from angle-stacked seismic data as input to the rock-physics model for calculating porosity and bulk and shear pore structure parameters simultaneously, is proposed and implemented to solve this problem. The methodology is successfully tested with well logs and seismic data from a deeply buried carbonate hill in the Bohai Bay Basin, China. (shrink)
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  8.  12
    Two-Parameter Prestack Seismic Inversion of Porosity and Pore-Structure Parameter of Fractured Carbonate Reservoirs: Part 2Applications.Tingting Zhang, Ruifeng Zhang, Jianzhang Tian, Lifei Lu, Fengqi Qin, Xianzeng Zhao & Yuefeng Sun - 2018 - Interpretation: SEG 6 (4):SM9-SM17.
    Fractures and fracture-related dissolution pores, as well as cavities, molds, and vugs, provide the major conduit and/or storage space for hydrocarbons in the deeply buried carbonate (...) hill of Hexiwu field, Bohai Bay Basin. The fractured reservoir generally has lower porosity but better permeability than moldic/vuggy reservoir, and it consists of the major part of the buried-hill slope and buried-hill internal reservoirs. The conventional method of characterizing carbonate reservoirs, however, often mixes these two types of reservoirs together because they both have low acoustic impedance and low bulk modulus. The rock-physics analysis of two field wells indicates that a pore-structure parameter defined in a rock-physics model, the so-called Sun model, can help to distinguish the fractured reservoir zones together with porosity. Fractured zones usually have porosity of less than 5% and a pore-structure parameter of greater than six, whereas moldic/vuggy reservoirs of higher porosity have a pore-structure parameter of less than six. Field-scale application demonstrates that simultaneous prestack seismic inversion for the porosity and pore-structure parameter enables 3D mapping of fractured reservoir zones in the buried carbonate hills. It also provides an analog of detecting fractures and/or fracture-related pores in deeply buried carbonates in similar geologic settings. (shrink)
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  9.  7
    Two-Parameter Prestack Seismic Inversion of Porosity and Pore Structure Parameter of Fractured Carbonate Reservoirs: Part 1Methods.Tingting Zhang & Yuefeng Sun - 2018 - Interpretation 6 (4):SM1-SM8.
    Fractured zones in deeply buried carbonate hills are important because they often have better permeability resulting in prolific production than similar low-porosity rocks. Nevertheless, their detection (...)poses great challenge to conventional seismic inversion methods because they are mostly low in acoustic impedance and bulk modulus, hardly distinguishable from high-porosity zones or mudstones. A proxy parameter of pore structure defined in a rock-physics model, the so-called Sun model, has been used for delineating fractured zones in which the pore structure parameter is relatively high, whereas the porosity is low in general. Simultaneous seismic inversion of the pore structure parameter and porosity proves to be difficult and nontrivial in practice. Although the pore structure parameter is well-defined at locations where density, P-, and S-velocity are known from logs, estimation of P- and S-velocity information, especially density information from prestack seismic data is rather challenging. A three-step iterative inversion method, which uses acoustic, gradient, and elastic impedance from angle-stacked seismic data as input to the rock-physics model for calculating porosity and bulk and shear pore structure parameters simultaneously, is proposed and implemented to solve this problem. The methodology is successfully tested with well logs and seismic data from a deeply buried carbonate hill in the Bohai Bay Basin, China. (shrink)
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  10.  70
    Cognitive Architectures and Multi-Agent Social Simulation.Ron Sun - unknown
    As we know, a cognitive architecture is a domain-generic computational cognitive model that may be used for a broad analysis of cognition and behavior. Cognitive architectures (...)embody theories of cognition in computer algorithms and programs. Social simulation with multi-agent systems can benefit from incorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001). In this survey, an example cognitive architecture will be given, and its application to social simulation will be sketched. (shrink)
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  11.  55
    The Symposium on the Synergy Between Implicit and Explicit Learning Processes.Robert Mathews & Ron Sun - unknown
    Implicit processes are thought to be relatively fast, inaccessible, holistic, and imprecise, while explicit processes are slow, accessible and precise (e.g., Reber, 1989, Sun 2002). This (...)dichotomy is closely related to some other well-known dichotomies including symbolic versus subsymbolic processing (Rumelhart et al., 1986), conceptual versus subconceptual processing (Smolensky, 1988), and conscious versus unconscious processing (Jacoby et al., 1994). This dichotomy has been justified by extensive studies of implicit and explicit learning, implicit and explicit memory, and implicit versus explicit metacognition (Reder, 1996). (shrink)
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  12.  46
    The Symposium on the Synergy Between Implicit and Explicit Learning Processes.Ron Sun - manuscript
    Implicit processes are thought to be relatively fast, inaccessible, holistic, and imprecise, while explicit processes are slow, accessible and precise (e.g., Reber, 1989, Sun 2002). This (...)dichotomy is closely related to some other wellknown dichotomies including symbolic versus subsymbolic processing (Rumelhart et al., 1986), conceptual versus subconceptual processing (Smolensky, 1988), and conscious versus unconscious processing (Jacoby et al., 1994). This dichotomy has been justified by extensive studies of implicit and explicit learning, implicit and explicit memory, and implicit versus explicit metacognition (Reder, 1996). (shrink)
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  13.  21
    EMAIL: Rsun@Cs.Ua.Edu.Ron Sun & Todd Peterson - unknown
    In developing autonomous agents, one usually emphasizes only (situated) procedural knowledge, ignoring more explicit declarative knowledge. On the other hand, in developing symbolic reasoning models, one usually (...)
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  14.  70
    The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.Ron Sun - 2005 - Psychological Review 112 (1):159-192.
    This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It (...)
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  15.  32
    Duality of the Mind.Ron Sun - manuscript
    Synthesizing situated cognition, reinforcement learning, and hybrid connectionist modeling, a generic cognitive architecture focused on situated involvement and interaction with the world is developed in this book. (...)
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  16.  79
    Incubation, Insight, and Creative Problem Solving: A Unified Theory and a Connectionist Model.Ron Sun - 2010 - Psychological Review 117 (3):994-1024.
    This article proposes a unified framework for understanding creative problem solving, namely, the explicitimplicit interaction theory. This new theory of creative problem solving constitutes an attempt (...)at providing a more unified explanation of relevant phenomena (in part by reinterpreting/integrating various fragmentary existing theories of incubation and insight). The explicitimplicit interaction theory relies mainly on 5 basic principles, namely, (a) the coexistence of and the difference between explicit and implicit knowledge, (b) the simultaneous involvement of implicit and explicit processes in most tasks, (c) the redundant representation of explicit and implicit knowledge, (d) the integration of the results of explicit and implicit processing, and (e) the iterative (and possibly bidirectional) processing. A computational implementation of the theory is developed based on the CLARION cognitive architecture and applied to the simulation of relevant human data. This work represents an initial step in the development of process-based theories of creativity encompassing incubation, insight, and various other related.. (shrink)
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  17.  31
    Board Openness During an Economic Crisis.Kangtao Ye, Jigao Zhu & Sunny Sun - 2015 - Journal of Business Ethics 129 (2):363-377.
    Does a board with greater gender diversity make better investment decisions? Drawing on Austrian economic cycle theory and work groups theory, we argue that such board openness (...)
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  18.  46
    On Levels of Cognitive Modeling.Ron Sun, L. Andrew Coward & Michael J. Zenzen - 2005 - Philosophical Psychology 18 (5):613-637.
  19.  54
    Motivational Representations Within a Computational Cognitive Architecture.Ron Sun - unknown
    This paper discusses essential motivational representations necessary for a comprehensive computational cognitive architecture. It hypothesizes the need for implicit drive representations, as well as explicit goal representations. (...)
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  20.  42
    Does Female Directorship on Independent Audit Committees Constrain Earnings Management?Jerry Sun, Guoping Liu & George Lan - 2011 - Journal of Business Ethics 99 (3):369 - 382.
    This study examines whether the gender of the directors on fully independent audit committees affects the ability of the committees in constraining earnings management and thus their (...)
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  21.  98
    Top-Down Versus Bottom-Up Learning in Cognitive Skill Acquisition.Ron Sun - unknown
    This paper explores the interaction between implicit and explicit processes during skill learning, in terms of top-down learning (that is, learning that goes from explicit to (...)implicit knowledge) versus bottom-up learning (that is, learning that goes from implicit to explicit knowledge). Instead of studying each type of knowledge (implicit or explicit) in isolation, we stress the interaction between the two types, especially in terms of one type giving rise to the other, and its effects on learning. The work presents an integrated model of skill learning that takes into account both implicit and explicit processes and both top-down and bottom-up learning. We examine and simulate human data in the Tower of Hanoi task. The paper shows how the quantitative data in this task may be captured using either top-down or bottom-up approaches, although top-down learning is a more apt explanation of the human data currently available. These results illustrate the two different directions of learning (top-down versus bottom-up), and thereby provide a new perspective on skill learning. Ó 2003 Elsevier B.V. All rights reserved. (shrink)
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  22. Cognitive Social Stimulation.R. Sun - 2008 - In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 530--548.
     
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  23.  64
    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 of the organization. It is suggested that the two disciplines, cognitive modeling and social simulation, which have so far been pursued in relative isolation from each other, can be profitably integrated. (shrink)
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  24. Theoretical Status of Computational Cognitive Modeling.Ron Sun - unknown
    This article explores the view that computational models of cognition may constitute valid theories of cognition, often in the full sense of the term ‘‘theory”. In this (...)
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  25. On Levels of Cognitive Modeling.Ron Sun, Andrew Coward & Michael J. Zenzen - 2005 - Philosophical Psychology 18 (5):613-637.
    The article first addresses the importance of cognitive modeling, in terms of its value to cognitive science (as well as other social and behavioral sciences). In particular, (...)
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  26. Remembering Lewis E. Hahn.George Sun, John Howie, Thomas Alexander, Kenneth Stikkers & Randall Auxier - 2006 - Philosophy East and West 56 (1):1-15.
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  27.  37
    Cognitive Science Meets Multi-Agent Systems: A Prolegomenon.Ron Sun - 2001 - Philosophical Psychology 14 (1):5 – 28.
    In the current research on multi-agent systems (MAS), many theoretical issues related to sociocultural processes have been touched upon. These issues are in fact intellectually profound (...)and should prove to be significant for MAS. Moreover, these issues should have equally significant impact on cognitive science, if we ever try to understand cognition in the broad context of sociocultural environments in which cognitive agents exist. Furthermore, cognitive models as studied in cognitive science can help us in a substantial way to better probe multi-agent issues, by taking into account essential characteristics of cognitive agents and their various capacities. In this paper, we systematically examine the interplay among social sciences, MAS, and cognitive science. We try to justify an integrated approach for MAS which incorporates different perspectives. We show how a new cognitive model, CLARION, can embody such an integrated approach through a combination of autonomous learning and assimilation. (shrink)
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  28.  59
    Accounting for the Computational Basis of Consciousness: A Connectionist Approach.Ron Sun - 1999 - Consciousness and Cognition 8 (4):529-565.
    This paper argues for an explanation of the mechanistic (computational) basis of consciousness that is based on the distinction between localist (symbolic) representation and distributed representation, the (...)
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  29.  47
    Multi-Agent Reinforcement Learning: Weighting and Partitioning.Ron Sun & Todd Peterson - unknown
    This paper addresses weighting and partitioning in complex reinforcement learning tasks, with the aim of facilitating learning. The paper presents some ideas regarding weighting of multiple agents (...)
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  30.  95
    Desiderata for Cognitive Architectures.Ron Sun - 2004 - Philosophical Psychology 17 (3):341-373.
    This article addresses issues in developing cognitive architectures--generic computational models of cognition. Cognitive architectures are believed to be essential in advancing understanding of the mind, and (...)therefore, developing cognitive architectures is an extremely important enterprise in cognitive science. The article proposes a set of essential desiderata for developing cognitive architectures. It then moves on to discuss in detail some of these desiderata and their associated concepts and ideas relevant to developing better cognitive architectures. It argues for the importance of taking into full consideration these desiderata in developing future architectures that are more cognitively and ecologically realistic. A brief and preliminary evaluation of existing cognitive architectures is attempted on the basis of these ideas. (shrink)
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  31.  22
    Mindfulness in Context: A Historical Discourse Analysis.Jessie Sun - 2014 - Contemporary Buddhism 15 (2):394-415.
    Mindfulnesshas become a buzzword, yet its meaning and origins have received relatively little critical consideration. This article places the currentmindfulness movementin context, examining the (...)
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  32.  52
    Stock Option Repricing: Heads I Win, Tails You Lose[REVIEW]Avinash Arya & Huey-Lian Sun - 2004 - Journal of Business Ethics 50 (4):297-312.
    Recent scandals at Enron, WorldCom and Global Crossing have put the ethical spotlight on corporate malfeasance as never before. However, these are the situations in which management (...)
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  33.  50
    Psychopathsat Work? Implications of Lay PersonsUse of Labels and Behavioural Criteria for Psychopathy.Carlo Caponecchia, Andrew Y. Z. Sun & Anne Wyatt - 2012 - Journal of Business Ethics 107 (4):399-408.
    In attempting to explain or deal with negative workplace behaviours such as workplace bullying, the notion ofworkplace psychopathshas recently received much attention. Focusing on individual (...)
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  34. Ling Woo in Historical Context.Chyng Feng Sun - forthcoming - Espíritu.
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  35.  77
    The Importance of Cognitive Architectures: An Analysis Based on CLARION.Ron Sun - unknown
    Research in computational cognitive modeling investigates the nature of cognition through developing process-based understanding by specifying computational models of mechanisms (including representations) and processes. In this (...)enterprise, a cognitive architecture is a domaingeneric computational cognitive model that may be used for a broad, multiple-level, multipledomain analysis of behavior. It embodies generic descriptions of cognition in computer algorithms and programs. Developing cognitive architectures is a difficult but important task. In this article, discussions of issues and challenges in developing cognitive architectures will be undertaken, and an example cognitive architecture (CLARION) will be described. (shrink)
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  36.  78
    Learning, Action, and Consciousness: A Hybrid Approach Toward Modeling Consciousness.Ron Sun - 1997 - Neural Networks 10:1317-33.
    _role, especially in learning, and through devising hybrid neural network models that (in a qualitative manner) approxi-_ _mate characteristics of human consciousness. In doing so, the (...)paper examines explicit and implicit learning in a variety_ _of psychological experiments and delineates the conscious/unconscious distinction in terms of the two types of learning_ _and their respective products. The distinctions are captured in a two-level action-based model C_larion_. Some funda-_ _mental theoretical issues are also clari?ed with the help of the model. Comparisons with existing models of conscious-_. (shrink)
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  37.  61
    Business Reputation and Labor Efficiency, Productivity, and Cost.Marty Stuebs & Li Sun - 2010 - Journal of Business Ethics 96 (2):265 - 283.
    Assumed benefits from improved reputation are often used as motives to drive corporate social responsibility (CSR) initiatives. Are improved cost efficiencies among these reputation benefits? Cost efficiencies (...)
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  38.  26
    A Portrait of Nanomedicine and Its Bioethical Implications.Rebecca M. Hall, Tong Sun & Mauro Ferrari - 2012 - Journal of Law, Medicine and Ethics 40 (4):763-779.
    This review addresses the current and future potential of nanomedicine, and its ethical considerations within the comprehensive framework of the four dimensions of medical ethics: Beneficence, Non- (...)Maleficence, Respect, and Justice. From this perspective, the ethical considerations for nanomedicine are not novel, but have been addressed by precedents throughout the history of medicine. While these ethical challenges are not unique to nanomedicine, some require additional consideration, given the envisioned pervasive impact of nanomedicine on society. (shrink)
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  39.  25
    Bottom-Up Skill Learning in Reactive Sequential Decision Tasks.Ron Sun, Todd Peterson & Edward Merrill - unknown
    This paper introduces a hybrid model that unifies connectionist, symbolic, and reinforcement learning into an integrated architecture for bottom-up skill learning in reactive sequential decision tasks. (...)The model is designed for an agent to learn continuously from on-going experience in the world, without the use of preconceived concepts and knowledge. Both procedural skills and high-level knowledge are acquired through an agents experience interacting with the world. Computational experiments with the model in two domains are reported. (shrink)
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  40.  76
    Where Should the Line Be Drawn on Insider Trading Ethics?Yulong Ma & Huey-Lian Sun - 1998 - Journal of Business Ethics 17 (1):67-75.
    Finance ethics have drawn increasing attention from both government regulators and academic researchers. This paper addresses the issue of insider trading ethics. Previous studies on insider trading (...)
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  41.  91
    Introduction to Computational Cognitive Modeling.Ron Sun - 2008 - In The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 3--19.
  42.  18
    N6-Methyladenine Functions as a Potential Epigenetic Mark in Eukaryotes.Qinmiao Sun, Shoujun Huang, Xiaona Wang, Yuanxiang Zhu, Zhenping Chen & Dahua Chen - 2015 - Bioessays 37 (11):1155-1162.
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  43.  14
    Corporate Bond Covenants and Social Responsibility Investment.Guifeng Shi & Jianfei Sun - 2015 - Journal of Business Ethics 131 (2):285-303.
    This paper examines the effect of corporate social responsibility on the number of bond covenants. We find that a high CSR score has a negative association with (...)
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  44.  95
    Symbol Grounding: A New Look at an Old Idea.Ron Sun - 2000 - Philosophical Psychology 13 (2):149-172.
    Symbols should be grounded, as has been argued before. But we insist that they should be grounded not only in subsymbolic activities, but also in the interaction (...)
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  45.  53
    Modeling Meta-Cognition in a Cognitive Architecture.Ron Sun, Xi Zhang & Robert Mathews - unknown
    This paper describes how meta-cognitive processes (i.e., the self monitoring and regulating of cognitive processes) may be captured within a cognitive architecture Clarion. Some currently popular (...) cognitive architectures lack sufficiently complex built-in meta-cognitive mechanisms. However, a sufficiently complex meta-cognitive mechanism is important, in that it is an essential part of cognition and without it, human cognition may not function properly. We contend that such a meta-cognitive mechanism should be an integral part of a cognitive architecture. Thus such a mechanism has been developed within the Clarion cognitive architecture. The paper demonstrates how human data of two meta-cognitive experiments are simulated using Clarion. The simulations show that the meta-cognitive processes represented by the experimental data (and beyond) can be adequately captured within the Clarion framework. (shrink)
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  46.  31
    A Bottom-Up Model of Skill Learning.Ron Sun, Todd Peterson & Edward Merrill - unknown
    We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into (...)procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A match between the model and human data is found in several respects. (shrink)
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  47.  30
    IndividualismCollectivism, Private Benefits of Control, and Earnings Management: A Cross-Culture Comparison[REVIEW]Xu Zhang, Xing Liang & Hongyan Sun - 2013 - Journal of Business Ethics 114 (4):655-664.
    Using private benefits of control and earnings management data from 41 countries and regions, we provide strong evidence that cultures, together with legal rules and law enforcement, (...)
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  48.  33
    Autonomous Generation of Symbolic Representations Through Subsymbolic Activities.Ron Sun - 2013 - Philosophical Psychology 26 (6):888 - 912.
    This paper explores an approach for autonomous generation of symbolic representations from an agent's subsymbolic activities within the agent-environment interaction. The paper describes a psychologically plausible (...) general framework and its various methods for autonomously creating symbolic representations. The symbol generation is accomplished within, and is intrinsic to, a generic and comprehensive cognitive architecture for capturing a wide variety of psychological processes (namely, CLARION). This work points to ways of obtaining more psychologically/cognitively realistic symbolic and subsymbolic representations within the framework of a cognitive architecture, and accentuates the relevance of such an approach to cognitive science and psychology. (shrink)
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  49.  17
    Individual Auditor Conservatism After CSRC Sanctions.Jerry Sun, Steven F. Cahan & Jing Xu - 2016 - Journal of Business Ethics 136 (1):133-146.
    This study examines whether sanctions imposed by the China Securities Regulatory Commission against individual auditors result in greater auditor conservatism. Using a difference-in-differences research design, we (...) find that clients of sanctioned individual auditors have lower discretionary accruals in the post-sanction period than in the pre-sanction period when compared to a matched control group of clients audited by individual auditors who were not sanctioned. Our findings suggest that sanctions imposed by the CSRC on individual auditors can lead to improvements in audit quality by increasing the conservatism of the sanctioned auditors. That is, individual auditors are more likely to resist their clientsincome-increasing accounting manipulations after being sanctioned by the CSRC. (shrink)
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  50.  21
    Effects of Model-Based and Memory-Based Processing on Speed and Accuracy of Grammar String Generation.Robert C. Mathews & Ron Sun - unknown
    Learners are able to use 2 different types of knowledge to perform a skill. One type is a conscious mental model, and the other is based on (...)
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