Search results for 'Sun Tung-Po' (try it on Scholar)

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  1.  8
    Su Tung Po (2010). A Chinese Poet's Contemplation of Life. The Monist 27 (1):128-136.
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  2. Tung-mei Fang & Chih-Shen Sun (1984). Chung-Kuo Che Hsüeh Chih Ching Shen Chi Ch I Fa Chan. Ch Eng Chün Ch U Pan She.
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  3.  4
    Mikl Pos R. Pedei & L. Paszl Po E. Szab Po (1999). On Reichenbach's Common Cause Principle and Reichenbach's Notion of Common Cause* G Pabor Hofer-Szab Po Department of Philosophy Technical University of Budapest. British Journal for the Philosophy of Science 50:377-399.
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  4. Mdzad Pa Po & Yoṅs-ʼdzin Rnam-Rgyal-Grags-Pa (2009). Skye Dguʼi Bdag Po la Rigs Lam Gsal Byed. In Yoṅs-ʼdzin Rnam-Rgyal-Grags-Pa & Śākya-Mchog-Ldan (eds.), Rigs Gźuṅ Rgya Mtshoʼi ʼjug Ṅogs Baiḍūryaʼi Them Skas. Rigpe Dorje Publications
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  5. 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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  6. 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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  7. Guohua Sun (2007). Sun Guohua Zi Xuan Ji. Zhongguo Ren Min da Xue Chu Ban She.
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  8. 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. (shrink)
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  9.  8
    Liu Hsien-Chao, Sun Tung-Po, Chi Shu-Shih & Li Fan (1978). On the Relations Between Confucianists and Legalists in the Han Dynasties. Contemporary Chinese Thought 10 (1):44-63.
    In order to usurp the Party, seize power and restore capitalism, the Wang-Chang-Chiang-Yao anti-Party clique has turned out counterrevolutionary opinions in the ideological realm. They have tried in every way to distort and revise history and have fabricated the "struggle between the Confucianists and the Legalists" in history. They have confounded different social contradictions and have replaced the class struggle with the "struggle between the Confucianists and the Legalists" and the antagonism within the landlord class with the "line struggle." To (...)
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  10.  36
    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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  11.  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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  12.  21
    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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  13.  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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  14.  3
    Luciano Boschiero (2012). Spotting the Sun: A Translation and Analysis of Three Early Seventeenth-Century Works on Sunspots. [REVIEW] Metascience 21 (3):667-672.
    Spotting the Sun: A translation and analysis of three early seventeenth-century works on sunspots Content Type Journal Article Category Essay Review Pages 1-6 DOI 10.1007/s11016-011-9598-1 Authors Luciano Boschiero, Campion College, PO Box 3052, Toongabbie East, NSW 2146, Australia Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.
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  15.  1
    Chang Chung-Tung (1982). Dr. Sun Yat-Sen's Principle of Livelihood and American Progressivism. Chinese Studies in History 15 (3):4-19.
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  16. Sun Zheng-Yu (2004). Generul Theory of Philosophy and Contem Po Rary Chinese Philosophy [J]. Modern Philosophy 1:001.
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  17.  30
    Ron Sun (2005). The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach. Psychological Review 112:159-192.
    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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  18.  29
    Alain Verbeke & Vincent Tung (2013). The Future of Stakeholder Management Theory: A Temporal Perspective. [REVIEW] Journal of Business Ethics 112 (3):529-543.
    We propose adding a temporal dimension to stakeholder management theory, and assess the implications thereof for firm-level competitive advantage. We argue that a firm’s competitive advantage fundamentally depends on its capacity for stakeholder management related, transformational adaptation over time. Our new temporal stakeholder management approach builds upon insights from both the resource-based view (RBV) in strategic management and institutional theory. Stakeholder agendas and their relative salience to the firm evolve over time, a phenomenon well understood in the literature, and requiring (...)
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  19.  29
    Hsing-Chau Tseng, Chi-Hsiang Duan, Hui-Lien Tung & Hsiang-Jui Kung (2010). Modern Business Ethics Research: Concepts, Theories, and Relationships. Journal of Business Ethics 91 (4):587 - 597.
    The main purpose of this study is to explore and map the intellectual structure of business ethics studies during 1997–2006 by analyzing 85,000 cited references of 3,059 articles from three business ethics related journals in SSCI and SCI databases. In this article, co-citation analysis and social network analysis techniques are used to research intellectual structure of the business ethics literature. We are able to identify the important publications and the influential scholars as well as the correlations among these publications by (...)
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  20.  8
    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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  21.  33
    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 (...)
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  22.  19
    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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  23.  15
    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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  24.  78
    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.  49
    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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  26.  14
    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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  27.  44
    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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  28.  46
    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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  29.  41
    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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  30.  32
    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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  31.  32
    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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  32.  46
    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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  33.  23
    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 (...)
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  34.  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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  35.  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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  36.  25
    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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  37.  21
    Ron Sun, Mixed Effects of Distractor Tasks on Incubation.
    suggests that incubation is a diverse phenomenon, involving diverse cognitive processes. Hence, distracting activities can..
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  38.  17
    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.
  39.  43
    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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  40.  17
    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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  41.  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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  42.  35
    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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  43.  22
    Ron Sun, Theoretical Status of Computational Cognitive Modeling.
    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 discussion, this article examines various (existent or possible) positions on this issue and argues in favor of the view above. It also connects this issue with a number of other relevant issues, such as the general relationship between theory and data, the validation of models, and the practical benefits of computational modeling. All the (...)
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  44.  49
    L. Andrew Coward & 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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  45.  15
    Ron Sun, Todd Peterson & Edward Merrill, A Bottom-Up Model of Skill Learning.
    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 (...)
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  46.  38
    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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  47.  10
    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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  48.  19
    Ron Sun, MARLBS: Team Cooperation Through Bidding.
    b>: A cooperative team of agents may perform many tasks better than isolated agents. The question is how coopera-.
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  49.  1
    Ron Sun & Todd Peterson, Some Experiments with a Hybrid Model for Learning Sequential Decision Making.
    To deal with reactive sequential decision tasks we present a learning model which is a hybrid connectionist model consisting of both localist and distributed representations based on the two level approach proposed in..
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  50.  13
    Zhongyuan Sun (2007). Meta-Research in Chinese Logic. Frontiers of Philosophy in China 2 (1):50-69.
    This paper discusses the topics, goals, values and methods of Chinese logic. It holds that the goal of the research in Chinese logic is to reveal its structure, content, rules, and essential character, as well as to reveal both similarities and differences between Chinese and foreign logic. The value of the research is to carry forward and develop the outstanding heritage of Chinese logic. Its method is to annotate original works of Chinese ancient logic with the tools of modern language (...)
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