Search results for 'Huey-Lian Sun' (try it on Scholar)

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  1.  27
    Avinash Arya & Huey-Lian Sun (2004). Stock Option Repricing: Heads I Win, Tails You Lose. [REVIEW] 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 knew that they made the wrong choice. As professor Joseph Badaracco of Harvard Business School points out, the real ethical dilemmas arise when people must choose between right and right — where both choices can be justified, yet one must be chosen over the other. Whether or not to reprice stock options represents one (...)
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  2.  52
    Yulong Ma & Huey-Lian Sun (1998). Where Should the Line Be Drawn on Insider Trading Ethics? 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 ethics have failed to provide convincing arguments and consistent results. In particular, the arguments against insider trading are based primarily on moral and philosophical grounds and lack empirical rigor. This study intends to establish and examine the relationship between the ethical issue and economic issue of insider trading. We argue that the ethics of (...)
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  3. Zhouxing Sun (2011). Bian Jie Shang de Xing Zhe: Sun Zhouxing Xue Shu Sui Bi. Shanghai Ren Min Chu Ban She.
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  4. Bokui Sun (2010). Sun Bokui Zhe Xue Wen Cun =. 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.
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  5. Guohua Sun (2007). Sun Guohua Zi Xuan Ji. Zhongguo Ren Min da Xue Chu Ban She.
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  6. Zhengyu Sun (2007). Sun Zhengyu Zhe Xue Wen Ji. 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.
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  7.  1
    David Testen (2011). Iranian and Anato Lian Cognates to Greek (K) Sún. Journal of the American Oriental Society 131 (2):287-293.
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  8.  41
    Ron Sun, Cognitive Architectures and Multi-Agent Social Simulation.
    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.
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  9.  26
    Robert Mathews & Ron Sun, The Symposium on the Synergy Between Implicit and Explicit Learning Processes.
    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 (...)
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  10.  22
    Ron Sun, The Symposium on the Synergy Between Implicit and Explicit Learning Processes.
    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 (...)
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  11.  2
    Ron Sun & Todd Peterson, EMAIL: Rsun@Cs.Ua.Edu.
    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 emphasizes only declarative knowledge, ignoring procedural knowledge. In contrast, we have developed a learning model Clarion, which is a hybrid connectionist model consisting of both localist and distributed representations, based on the two-level approach proposed in Sun (1995). learns and utilizes both procedural and declarative knowledge, tapping into the synergy of..
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  12.  36
    Ron Sun (2005). The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach. 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 highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. A variety of qualitative data (...)
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  13. George Sun, John Howie, Thomas Alexander, Kenneth Stikkers & Randall Auxier (2006). Remembering Lewis E. Hahn. Philosophy East and West 56 (1):1-15.
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  14.  9
    Ron Sun, Duality of the Mind.
    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. The architecture notably incorporates the distinction of implicit and explicit processes.
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  15.  35
    Marty Stuebs & Li Sun (2010). Business Reputation and Labor Efficiency, Productivity, and Cost. 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 and cost management have become more relevant as revenue streams dry up in these tough economic times. Can a good reputation aid these efforts to develop cost efficiencies specifically when managing labor costs? Prior research hypothesizes that good reputation can create labor productivity and efficiency benefits. The purpose of this study is to empirically (...)
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  16.  8
    Xu Zhang, Xing Liang & Hongyan Sun (2013). Individualism–Collectivism, Private Benefits of Control, and Earnings Management: A Cross-Culture Comparison. [REVIEW] 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, play a critical role in shaping corporate behavior. More specifically, we find that private benefits of control are larger and earnings management is more severe in collectivist as opposed to individualist cultures, consistent with the argument that agency problems between corporate insiders and outside investors are severe in collectivist culture. These results are robust (...)
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  17.  1
    Qinmiao Sun, Shoujun Huang, Xiaona Wang, Yuanxiang Zhu, Zhenping Chen & Dahua Chen (2015). N6-Methyladenine Functions as a Potential Epigenetic Mark in Eukaryotes. Bioessays 37 (11):1155-1162.
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  18. Chyng Feng Sun (forthcoming). Ling Woo in Historical Context. Espíritu.
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  19.  52
    R. Cohen, R. Rawat, W. Sun, D. Wang, M. Wexler, D. Y. Lam, N. Agarwal, M. Cormier, J. Jagdev, T. Jin, M. Kukreti, J. Liu & K. Rahim (2014). Using Computer Technology to Address the Problem of Cyberbullying. Acm Sigcas Computers and Society 44 (2):52-61.
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  20.  19
    Ron Sun, Motivational Representations Within a Computational Cognitive Architecture.
    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. Drive representations consist of primary drives — both low-level primary drives (concerned mostly with basic physiological needs) and high-level primary drives (concerned more with social needs), as well as derived (secondary) drives. On the basis of drives, explicit goals may be generated on the fly during an agent’s interaction with various situations. These motivational (...)
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  21. Kangtao Ye, Jigao Zhu & Sunny Sun (2015). Board Openness During an Economic Crisis. 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 will help male board members to overcome gender biases, discrimination, and conflicts; integrate different perspectives under the economic cycle and crisis; and foster an environment in which better decisions are made. The results of an empirical study of 14,609 firm-quarter observations from 1,555 listed firms in China between 2007 and 2009 strongly support our (...)
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  22.  2
    Tianjiao Jiang, Lining Sun & Lei Zhu (2015). The Influence of Vertical Motor Responses on Explicit and Incidental Processing of Power Words. Consciousness and Cognition 34:33-42.
  23.  6
    Jerry Sun, Guoping Liu & George Lan (2011). Does Female Directorship on Independent Audit Committees Constrain Earnings Management? 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 effectiveness in overseeing the financial reporting process. Using a sample of 525 firm-year observations over the period 2003 to 2005, we are unable to identify an association between the proportion of female directors on audit committees and the extent of earnings management.
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  24.  88
    Ron Sun, Andrew Coward & Michael J. Zenzen (2005). On Levels of Cognitive Modeling. 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, it emphasizes the use of cognitive architectures in this undertaking. Based on this approach, the article addresses, in detail, the idea of a multi-level approach that ranges from social to neural levels. In physical sciences, a rigorous set of theories is a hierarchy of descriptions/explanations, in which causal relationships among entities at a high (...)
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  25.  3
    Edmund Burke Huey (1908). The Psychology and Pedagogy of Reading. Philosophical Review 17:668.
  26.  50
    Ron Sun (2000). Symbol Grounding: A New Look at an Old Idea. 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 between the agent and the world. The point is that concepts are not formed in isolation (from the world), in abstraction, or "objectively." They are formed in relation to the experience of agents, through their perceptual/motor apparatuses, in their world and linked to their goals and actions. This paper takes a detailed look at (...)
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  27.  16
    Ron Sun (2013). Autonomous Generation of Symbolic Representations Through Subsymbolic Activities. 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 (...)
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  28. Yue Sun, Narendra Thapa, Andrew C. Hedman & Richard A. Anderson (2013). Phosphatidylinositol 4,5‐Bisphosphate: Targeted Production and Signaling. Bioessays 35 (6):513-522.
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  29.  53
    Ron Sun (2004). Desiderata for Cognitive Architectures. 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 (...)
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  30.  45
    Ron Sun, Top-Down Versus Bottom-Up Learning in Cognitive Skill Acquisition.
    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 (...)
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  31.  45
    Ron Sun, The Importance of Cognitive Architectures: An Analysis Based on CLARION.
    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 (...)
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  32.  35
    Ron Sun, Xi Zhang & Robert Mathews, Modeling Meta-Cognition in a Cognitive Architecture.
    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 (...)
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  33.  37
    Ron Sun, Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model.
    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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  34.  24
    Carlo Caponecchia, Andrew Y. Z. Sun & Anne Wyatt (2012). 'Psychopaths' at Work? Implications of Lay Persons' Use of Labels and Behavioural Criteria for Psychopathy. Journal of Business Ethics 107 (4):399-408.
    In attempting to explain or deal with negative workplace behaviours such as workplace bullying, the notion of ‘workplace psychopaths’ has recently received much attention. Focusing on individual aspects of negative workplace behaviour is at odds with more systemic approaches that recognise the contribution of individual, organisational and societal influences, without seeking to blame a person(s) for their behaviour or personality disorder. Regarding a coworker as a psychopath is highly stigmatising, and given the relatively low prevalence of psychopathy in the community, (...)
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  35.  8
    Ron Sun, Todd Peterson & Edward Merrill, Bottom-Up Skill Learning in Reactive Sequential Decision Tasks.
    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 agent’s experience interacting with the world. Computational experiments with the model in two domains are reported.
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  36.  5
    Rebecca M. Hall, Tong Sun & Mauro Ferrari (2012). A Portrait of Nanomedicine and Its Bioethical Implications. Journal of Law, Medicine & 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.
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  37. Sheng Sun & Joseph Heitman (2012). Should Y Stay or Should Y Go: The Evolution of Non‐Recombining Sex Chromosomes. Bioessays 34 (11):938-942.
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  38.  68
    Gui Lu Long, Yi-Fan Zhou, Jia-Qi Jin, Yang Sun & Hai-Woong Lee (2006). Density Matrix in Quantum Mechanics and Distinctness of Ensembles Having the Same Compressed Density Matrix. Foundations of Physics 36 (8):1217-1243.
    We clarify different definitions of the density matrix by proposing the use of different names, the full density matrix for a single-closed quantum system, the compressed density matrix for the averaged single molecule state from an ensemble of molecules, and the reduced density matrix for a part of an entangled quantum system, respectively. We show that ensembles with the same compressed density matrix can be physically distinguished by observing fluctuations of various observables. This is in contrast to a general belief (...)
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  39. Ron Sun (2004). Criteria for an Effective Theory of Consciousness and Some Preliminary Attempts. Consciousness and Cognition 13 (2):268-301.
    In the physical sciences a rigorous theory is a hierarchy of descriptions in which causal relationships between many general types of entity at a phenomenological level can be derived from causal relationships between smaller numbers of simpler entities at more detailed levels. The hierarchy of descriptions resembles the modular hierarchy created in electronic systems in order to be able to modify a complex functionality without excessive side effects. Such a hierarchy would make it possible to establish a rigorous scientific theory (...)
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  40.  54
    Ron Sun (1997). Learning, Action, and Consciousness: A Hybrid Approach Toward Modeling Consciousness. 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 (...)
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  41.  11
    Ron Sun (2001). Cognitive Science Meets Multi-Agent Systems: A Prolegomenon. 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 (...)
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  42.  28
    Ron Sun (1999). Accounting for the Computational Basis of Consciousness: A Connectionist Approach. 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 ideas of which have been put forth in the connectionist literature. A model is developed to substantiate and test this approach. The paper also explores the issue of the functional roles of consciousness, in relation to the proposed mechanistic explanation of consciousness. The model, embodying the representational difference, is able to account for the (...)
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  43.  19
    Ron Sun & Todd Peterson, Multi-Agent Reinforcement Learning: Weighting and Partitioning.
    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 and extends them into partitioning an input/state space into multiple regions with di erential weighting in these regions, to exploit di erential characteristics of regions and di erential characteristics of agents to reduce the learning complexity of agents (and their function approximators) and thus to facilitate the learning overall. It analyzes, in reinforcement learning (...)
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  44.  16
    Ron Sun (ed.) (2008). The Cambridge Handbook of Computational Psychology. Cambridge University Press.
    This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Computational models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many (...)
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  45.  22
    Ron Sun & Stan Franklin (2007). Computational Models of Consciousness: A Taxonomy and Some Examples. In Philip David Zelazo, Morris Moscovitch & Evan Thompson (eds.), The Cambridge Handbook of Consciousness. Cambridge 151--174.
  46.  27
    Ron Sun, Individual Action and Collective Function: From Sociology to Multi-Agent Learning.
    Co-learning of multiple agents has been studied in co-learning settings, and how do they help, or many different disciplines under various guises. For hamper, learning and cooperation? example, the issue has been tackled by distributed • How do we characterize the process and the artificial intelligence, parallel and distributed com- dynamics of co-learning, conceptually, mathe- puting, cognitive psychology, social psychology, matically, or computationally? game theory (and other areas of mathematical econ- • how do social structures and relations interact omics), sociology, (...)
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  47.  18
    Victor Nee & Peng Lian (1994). Sleeping with the Enemy: A Dynamic Model of Declining Political Commitment in State Socialism. [REVIEW] Theory and Society 23 (2):253-296.
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  48.  45
    Ron Sun (2001). Computation, Reduction, and Teleology of Consciousness. Cognitive Systems Research 1 (1):241-249.
    This paper aims to explore mechanistic and teleological explanations of consciousness. In terms of mechanistic explanations, it critiques various existing views, especially those embodied by existing computational cognitive models. In this regard, the paper argues in favor of the explanation based on the distinction between localist (symbolic) representation and distributed representation (as formulated in the connectionist literature), which reduces the phenomenological difference to a mechanistic difference. Furthermore, to establish a teleological explanation of consciousness, the paper discusses the issue of the (...)
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  49.  49
    Ron Sun (2008). Introduction to Computational Cognitive Modeling. In The Cambridge Handbook of Computational Psychology. Cambridge University Press 3--19.
  50.  45
    Hongbin Wang & Yanlong Sun (2014). On Quantum Models of the Human Mind. 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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