World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
13301
World Ranking
4733
National Ranking
1356

Overview

Randall D. Beer is affiliated with Indiana University in the United States. Their research spans multiple disciplines within neuroscience and computer science, focusing primarily on cognitive neuroscience and artificial intelligence. The subfields their work touches upon include cognitive neuroscience, artificial intelligence, astronomy and astrophysics, computational theory and mathematics, and sociology and political science.

The scientist's research topics cover various areas such as embodied and extended cognition, neural dynamics and brain function, origins and evolution of life, cellular automata and applications, evolutionary game theory and cooperation, plant and biological electrophysiology studies, and neural networks and reservoir computing.

Randall D. Beer has contributed publications across several venues, with multiple papers in Artificial Life and arXiv (Cornell University). Other publication venues include Philosophy and the Mind Sciences, Biosystems, and Frontiers in Computational Neuroscience.

Recent papers authored or coauthored by Randall D. Beer include:

  • The theoretical foundations of enaction: Precariousness (2022), Biosystems
  • An Investigation into the Origin of Autopoiesis (2020), Artificial Life
  • On the Proper Treatment of Dynamics in Cognitive Science (2023), Topics in Cognitive Science

Other notable related publications where Randall D. Beer has contributed include:

  • Laying down a forking path: Tensions between enaction and the free energy principle (2022), Philosophy and the Mind Sciences
  • A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans (2021), Frontiers in Computational Neuroscience

Their frequent coauthors include:

  • Ezequiel A. Di Paolo
  • Evan Thompson
  • Erick Olivares
  • Eduardo J. Izquierdo
  • Didem Kadıhasanoğlu

Best Publications

  • The brain has a body: adaptive behavior emerges from interactions of nervous system, body and environment.

    Hillel J. Chiel;Randall D. Beer

  • A dynamical systems perspective on agent-environment interaction

    Randall D. Beer

  • Evolving dynamical neural networks for adaptive behavior

    Randall D. Beer;John C. Gallagher

  • The Dynamics of Active Categorical Perception in an Evolved Model Agent

    Randall D. Beer

  • On the dynamics of small continuous-time recurrent neural networks

    Randall D. Beer

  • Nonnegative Decomposition of Multivariate Information

    Paul L. Williams;Randall D. Beer

  • Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology

    Leon Sterling;Yoh-Han Pao;Randall Dean Beer

  • Biologically inspired approaches to robotics: what can we learn from insects?

    Randall D. Beer;Roger D. Quinn;Hillel J. Chiel;Roy E. Ritzmann

  • Biologically based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot

    Kenneth S. Espenschied;Roger D. Quinn;Randall D. Beer;Hillel J. Chiel

  • Using autonomous robotics to teach science and engineering

    Randall D. Beer;Hillel J. Chiel;Richard F. Drushel

  • Peristaltically self-propelled endoscopic device

    Hillel J. Chiel;Roger D. Quinn;Randall D. Beer;Elizabeth D. Mangan

  • Spatial learning for navigation in dynamic environments

    B. Yamauchi;R. Beer

  • The dynamics of adaptive behavior: A research program

    Randall D. Beer

  • Application of evolved locomotion controllers to a hexapod robot

    John C. Gallagher;Randall D. Beer;Kenneth S. Espenschied;Roger D. Quinn

  • Sequential behavior and learning in evolved dynamical neural networks

    Brian M. Yamauchi;Randall D. Beer

  • A distributed neural network architecture for hexapod robot locomotion

    Randall D. Beer;Hillel J. Chiel;Roger D. Quinn;Kenneth S. Espenschied

  • Biorobotic approaches to the study of motor systems

    Randall D Beer;Hillel J Chiel;Roger D Quinn;Roy E Ritzmann

  • A biological perspective on autonomous agent design

    Randall D. Beer;Hillel J. Chiel;Leon S. Sterling

  • Biological neural networks in invertebrate neuroethology and robotics

    Randall D. Beer;Roy E. Ritzmann;Thomas M. McKenna

  • Evolution and analysis of model CPGs for walking: II. General principles and individual variability.

    Randall D. Beer;Hillel J. Chiel;John C. Gallagher

Frequent Co-Authors

Hillel J. Chiel
Hillel J. Chiel Case Western Reserve University
Roger D. Quinn
Roger D. Quinn Case Western Reserve University
Leon Sterling
Leon Sterling Swinburne University of Technology
Geoffrey P. Bingham
Geoffrey P. Bingham Indiana University
Patrick E. Crago
Patrick E. Crago Case Western Reserve University
François Clarac
François Clarac Aix-Marseille University
William B. Kristan
William B. Kristan University of California, San Diego
Inman Harvey
Inman Harvey University of Sussex
Holk Cruse
Holk Cruse Bielefeld University

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