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  1. 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. 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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  • From implicit skills to explicit knowledge: a bottom‐up model of skill learning.Edward Merrillb & Todd Petersonb - 2001 - Cognitive Science 25 (2):203-244.
    This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with a combination of localist (...)
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  • Unified theories of cognition.Allen Newell - 1990 - Cambridge: Harvard University Press.
    In this book, Newell makes the case for unified theories by setting forth a candidate.
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  • Archaeology and cognitive evolution.Thomas Wynn - 2002 - Behavioral and Brain Sciences 25 (3):389-402.
    Archaeology can provide two bodies of information relevant to the understanding of the evolution of human cognition – the timing of developments, and the evolutionary context of these developments. The challenge is methodological. Archaeology must document attributes that have direct implications for underlying cognitive mechanisms. One example of such a cognitive archaeology is found in spatial cognition. The archaeological record documents an evolutionary sequence that begins with ape-equivalent spatial abilities 2.5 million years ago and ends with the appearance of modern (...)
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  • (1 other version)Implicit learning and tacit knowledge.Arthur S. Reber - 1989 - Journal of Experimental Psychology: General 118 (3):219-235.
    I examine the phenomenon of implicit learning, the process by which knowledge about the rule-governed complexities of the stimulus environment is acquired independently of conscious attempts to do so. Our research with the two seemingly disparate experimental paradigms of synthetic grammar learning and probability learning, is reviewed and integrated with other approaches to the general problem of unconscious cognition. The conclusions reached are as follows: Implicit learning produces a tacit knowledge base that is abstract and representative of the structure of (...)
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  • Grounding Social Sciences in Cognitive Sciences. [REVIEW]Jeffrey White - 2015 - Philosophical Psychology 28 (8):1249-1253.
    Readers of Philosophical Psychology may be most familiar with Ron Sun by way of an article recently appearing in this journal on creative composition expressed within his own hybrid computational intelligence model, CLARION (Sun, 2013). That article represents nearly two decades’ work in situated agency stressing the importance of psychologically realistic architectures and processes in the articulation of both functional, and reflectively informative, AI and agent- level social-cultural simulations. Readers may be less familiar with Sun’s 2001 “prolegomena” to related multi-agent (...)
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  • The Evolution of Cooperation.Robert M. Axelrod - 1984 - Basic Books.
    The 'Evolution of Cooperation' addresses a simple yet age-old question; If living things evolve through competition, how can cooperation ever emerge? Despite the abundant evidence of cooperation all around us, there existed no purely naturalistic answer to this question until 1979, when Robert Axelrod famously ran a computer tournament featuring a standard game-theory exercise called The Prisoner's Dilemma. To everyone's surprise, the program that won the tournament, named Tit for Tat, was not only the simplest but the most "cooperative" entrant. (...)
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  • (1 other version)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 explicit–implicit 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 explicit–implicit 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 (...)
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  • 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 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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  • (1 other version)Implicit learning and tacit knowledge.Arthur S. Reber - 1989 - Journal of Experimental Psychology 118:219-35.
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  • (1 other version)Incubation, insight, and creative problem solving: A unified theory and a connectionist model.Sébastien Hélie & Ron Sun - 2010 - Psychological Review 117 (3):994-1024.
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  • Cognitive Dimensions of Social Science: The Way We Think About Politics, Economics, Law, and Society.Mark Turner - 2001 - Oxford University Press USA.
    What will be the future of social science? Where exactly do we stand, and where do we go from here? What kinds of problems should we be addressing, with what kinds of approaches and arguments? In Cognitive Dimensions of Social Science, Mark Turner offers an answer to these pressing questions: social science is headed toward convergence with cognitive science. Together they will give us a new and better approach to the study of what human beings are, what human beings do, (...)
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  • 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 (...)
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  • Toward a cognitive neuropsychology of awareness: Implicit knowledge and anosognosia.Daniel L. Schacter - 1990 - Journal of Clinical and Experimental Neuropsychology 12:155-78.
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  • Handbook of Implicit Learning.Michael A. Stadler & Peter A. Frensch - 1998 - Sage Publications.
    Research on implicit learning - a cognitive phenomenon in which people acquire knowledge without conscious intent or awareness - has been growing exponentially. This volume draws together this research, offering the first complete reference on implicit learning by those who have been instrumental in shaping the field. The contributors explore controversies in the field, and examine: functional characteristics, brain mechanisms and neurological foundations of implicit learning; connectionist models; and applications of implicit learning to acquiring new mental skills.
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  • Beyond intuition and instinct blindness: Toward an evolutionary rigorous cognitive science.Leda Cosmides & John Tooby - 1994 - Cognition 50 (1-3):41-77.
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  • 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 (...)
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  • 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 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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  • How to build a baby: II. Conceptual primitives.Jean M. Mandler - 1992 - Psychological Review 99 (4):587-604.
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