World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8451
World Ranking
7559
National Ranking
2073

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to cognitive architectures and computations

Overview

Ron Sun is affiliated with Rensselaer Polytechnic Institute in the United States and has contributed extensively to research in cognitive science and artificial intelligence. Their work spans multiple interdisciplinary fields, predominantly within computer science and psychology.

The main fields of study that Ron Sun focuses on are:

  • Computer Science
  • Psychology

The subfields of study that characterize their research include:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology
  • Social Psychology
  • General Decision Sciences

Ron Sun's research topics generally cover:

  • Cognitive Science and Mapping
  • Decision-Making and Behavioral Economics
  • Neural and Behavioral Psychology Studies
  • Cognitive Science and Education Research
  • Cultural Differences and Values
  • Categorization, perception, and language
  • Language and cultural evolution

Their recent publications demonstrate ongoing contributions to cognitive architectures, motivation-performance phenomena, and hybrid neural-symbolic models. Selected recent papers include:

  • "A unified framework for interpreting a range of motivation-performance phenomena," 2021, Cognitive Systems Research
  • "Dual-process theories, cognitive architectures, and hybrid neural-symbolic models," 2024, Neurosymbolic Artificial Intelligence
  • "Exploring culture from the standpoint of a cognitive architecture," 2020, Philosophical Psychology
  • "Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?", 2024, arXiv (Cornell University)

Additional publication venues where Ron Sun frequently publishes are:

  • arXiv (Cornell University)
  • Cognitive Systems Research
  • Neurosymbolic Artificial Intelligence
  • Cognitive Computation
  • Philosophical Psychology

The scientist has collaborated regularly with several coauthors, including:

  • Sergei Bugrov
  • David Yun Dai
  • Nicholas R. Wilson
  • Joseph Killian
  • Joseph A. Allen

In recognition of their contributions to the field, Ron Sun was named an IEEE Fellow in 2013 for work related to cognitive architectures and computational models.

Best Publications

  • From implicit skills to explicit knowledge: a bottom-up model of skill learning

    Ron Sun;Edward Merrill;Todd Peterson

  • The interaction of the explicit and the implicit in skill learning: a dual-process approach.

    Ron Sun;Paul Slusarz;Chris Terry

  • Incubation, insight, and creative problem solving: a unified theory and a connectionist model.

    Sébastien Hélie;Ron Sun

  • Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation

    Ron Sun

  • Duality of the Mind: A Bottom-up Approach Toward Cognition

    Ron Sun

  • Robust reasoning: integrating rule-based and similarity-based reasoning

    Ron Sun

  • From implicit skills to explicit knowledge: a bottom‐up model of skill learning

    Unknown

  • The Cambridge Handbook of Computational Psychology

    Ron Sun

  • An Overview of Hybrid Neural Systems

    Stefan Wermter;Ron Sun

  • Integrating Rules and Connectionism for Robust Commonsense Reasoning

    Ron Sun

  • Desiderata for cognitive architectures

    Ron Sun

  • Hybrid neural systems

    Stefan Wermter;Ron Sun

  • The importance of cognitive architectures: an analysis based on CLARION

    Ron Sun

  • Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art

    Lawrence A. Bookman;Ron Sun

  • Connectionist inference models

    Antony Browne;Ron Sun

  • Top-down versus bottom-up learning in cognitive skill acquisition

    Ron Sun;Xi Zhang

  • Connectionist-Symbolic Integration: From Unified to Hybrid Approaches

    Ron Sun;Frederic Alexandre

  • On Variable Binding in Connectionist Networks

    Ron Sun

  • Sequence learning: from recognition and prediction to sequential decision making

    R. Sun;C.L. Giles

  • Motivational Representations within a Computational Cognitive Architecture

    Ron Sun

  • Learning, action and consciousness: a hybrid approach toward modelling consciousness

    Ron Sun

  • Computational Architectures Integrating Neural And Symbolic Processes

    Ron Sun;Lawrence A. Bookman

  • Autonomous learning of sequential tasks: experiments and analyses

    R. Sun;T. Peterson

  • Symbol grounding: A new look at an old idea

    Ron Sun

Frequent Co-Authors

Stefan Wermter
Stefan Wermter Universität Hamburg
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Jiming Liu
Jiming Liu Hong Kong Baptist University
Gal A. Kaminka
Gal A. Kaminka Bar-Ilan University
Gerald Tesauro
Gerald Tesauro IBM (United States)
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Charles X. Ling
Charles X. Ling University of Western Ontario
David A. Gallo
David A. Gallo University of Chicago
Gordon G. Gallup
Gordon G. Gallup University at Albany, State University of New York

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