World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8073
World Ranking
7579
National Ranking
3289

Overview

James A. Reggia is affiliated with the University of Maryland, College Park in the United States. Their research spans a range of topics primarily within computer science, neuroscience, and engineering, with a notable focus on artificial intelligence, cognitive neuroscience, and control and systems engineering as key subfields.

The core themes of their work include robot manipulation and learning, reinforcement learning in robotics, cognitive science and education research, EEG and brain-computer interfaces, motor control and adaptation, neural dynamics and brain function, and neural networks and applications.

They have published research papers in several venues, including the International Journal of Social Robotics, Neural Networks, the Journal of Artificial Intelligence and Consciousness, Physica Scripta, and Frontiers in Physics. Some of their recent publications include:

  • Artificial Conscious Intelligence, 2020, Journal of Artificial Intelligence and Consciousness
  • Generalizing Maxwell's equations to complex-valued electromagnetic fields, 2023, Physica Scripta

They frequently collaborate with other researchers. Notable co-authors include Garrett E. Katz, Rodolphe J. Gentili, Gregory P. Davis, Arya Teymourlouei, and Alexandra A. Shaver.

The scientist's work covers both theoretical and applied aspects within their fields of study, contributing to the understanding of neural dynamics, artificial consciousness, and robotics. Their interdisciplinary research connects artificial intelligence methodologies with neuroscience and engineering principles.

Best Publications

  • Abductive Inference Models for Diagnostic Problem-Solving

    Yun Peng;James A. Reggia

  • Diagnostic Expert Systems Based on a Set Covering Model

    James A. Reggia;Dana S. Nau;Pearl Y. Wang

  • A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference

    Yun Peng;James A. Reggia

  • A formal model of diagnostic inference. I. Problem formulation and decomposition

    James A. Reggia;Dana S. Nau;Pearl Y. Wang

  • Simple Systems That Exhibit Self-Directed Replication

    James A. Reggia;Steven L. Armentrout;Hui-Hsien Chou;Yun Peng

  • Progress in the Simulation of Emergent Communication and Language

    Kyle Wagner;James A. Reggia;Juan Uriagereka;Gerald S. Wilkinson

  • Empirically derived probabilities for grapheme-to-phoneme correspondences in english

    Rita Sloan Berndt;James A. Reggia;Charlotte C. Mitchum

  • A neural model of memory impairment in diffuse cerebral atrophy.

    Eytan Ruppin;James A. Reggia

  • A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy

    Yun Peng;James A. Reggia

  • A connectionist model for diagnostic problem solving

    Y. Peng;J.A. Reggia

  • Connectionist models and information retrieval

    T. E. Doszkocs;J. Reggia;Xia Lin

  • Emergence of self-replicating structures in a cellular automata space

    Hui-Hsien Chou;James A. Reggia

  • Plausibility of diagnostic hypotheses: the nature of simplicity

    Yun Peng;James A. Reggia

  • Automatic discovery of self-replicating structures in cellular automata

    J.D. Lohn;J.A. Reggia

  • A generalized LSTM-like training algorithm for second-order recurrent neural networks

    Derek Monner;James A. Reggia

  • Bloom’s Taxonomy of Learning Domains

    Denis Fischbacher-Smith;Moira Fischbacher-Smith;Julien Vitay;Fred H. Hamker

  • A competitive distribution theory of neocortical dynamics

    James A. Reggia;C. Lynne D'Autrechy;Granger G. Sutton;Michael Weinrich

  • Neural computation in medicine

    James A. Reggia

  • Go forth and replicate.

    Moshe Sipper;James A. Reggia

  • A computational model of visual hallucinations in migraine

    James A. Reggia;David Montgomery

Frequent Co-Authors

Yun Peng
Yun Peng University of Maryland, Baltimore County
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Dana S. Nau
Dana S. Nau University of Maryland, College Park
Granger G. Sutton
Granger G. Sutton J. Craig Venter Institute
Jose L. Contreras-Vidal
Jose L. Contreras-Vidal University of Houston
Sungzoon Cho
Sungzoon Cho Seoul National University
Rita Sloan Berndt
Rita Sloan Berndt University of Maryland, Baltimore
Natalia A. Shevtsova
Natalia A. Shevtsova Drexel University
Rafael Navarro-González
Rafael Navarro-González National Autonomous University of Mexico
David W. Jacobs
David W. Jacobs University of Maryland, College Park

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