World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
6164
World Ranking
9345
National Ranking
592

Overview

Inman Harvey is affiliated with the University of Sussex in the United Kingdom and specializes primarily in computer science, with a distinct focus on artificial intelligence. Their research extends into multiple intersecting domains including astronomy and astrophysics, sociology and political science, as well as atmospheric science.

Their recent publications highlight their diverse academic interests. These include:

  • Behaviour and the Origin of Organisms (2023), published in Origins of Life and Evolution of Biospheres
  • Motivations for Artificial Intelligence, for Deep Learning, for ALife: Mortality and Existential Risk (2024), published in Artificial Life
  • Comment on Randall D. Beer's "A(Life) as It Could Be" (2024), published in Artificial Life

The scientific venues in which they frequently publish include:

  • Artificial Life
  • Origins of Life and Evolution of Biospheres

Inman Harvey's research covers several interconnected topics, notably:

  • Origins and Evolution of Life
  • Evolutionary Game Theory and Cooperation
  • Earth Systems and Cosmic Evolution
  • Reinforcement Learning in Robotics
  • Cognitive Science and Mapping

Their collaborative network includes frequent coauthors such as Matthew Egbert, Martin M. Hanczyc, Nathaniel Virgo, Emily C. Parke, and Tom Froese. These collaborations support interdisciplinary approaches that span biology, artificial life, and cognitive science.

Their contributions to artificial intelligence explore foundational issues such as the motivations underlying AI development, the implications of mortality and existential risks, and the broader philosophical dimensions of artificial life.

Best Publications

  • Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics

    Nick Jacobi;Phil Husbands;Inman Harvey

  • Explorations in evolutionary robotics

    Dave Cliff;Phil Husbands;Inman Harvey

  • Evolutionary Robotics: the Sussex Approach

    Inman Harvey;Phil Husbands;Dave Cliff;Adrian Thompson

  • Seeing the light: artificial evolution, real vision

    Inman Harvey;Phil Husbands;Dave Cliff

  • Evolutionary Robotics: A New Scientific Tool for Studying Cognition

    Inman Harvey;Ezequiel Di Paolo;Rachel Wood;Matt Quinn

  • Issues in evolutionary robotics

    Inman Harvey;Philip Husbands;Dave Cliff

  • Through the Labyrinth Evolution Finds a Way: A Silicon Ridge

    Inman Harvey;Adrian Thompson

  • The microbial genetic algorithm

    Inman Harvey

  • Evolving visually guided robots

    Dave Cliff;Philip Husbands;Inman Harvey

  • Unconstrained Evolution and Hard Consequences

    Adrian Thompson;Inman Harvey;Phil Husbands

  • Fourth European Conference on Artificial Life

    Phil Husbands;Inman Harvey

  • Incremental evolution of neural network architectures for adaptive behavior.

    Dave Cliff;Inman Harvey;Phil Husbands

  • Artificial Evolution: A New Path for Artificial Intelligence?

    P. Husbands;I. Harvey;D. Cliff;G. Miller

  • Circle In The Round: State Space Attractors for Evolved Sighted Robots

    Philip Husbands;Inman Harvey;Dave Cliff

  • The SAGA Cross: The Mechanics of Recombination for Species with Variable Length Genotypes.

    Inman Harvey

  • Artificial Evolution: A Continuing SAGA

    Inman Harvey

  • Evolutionary Robotics: A Survey of Applications and Problems

    Jean-Arcady Meyer;Phil Husbands;Inman Harvey

  • The use of genetic algorithms for the development of sensorimotor control systems

    P. Husbands;I. Harvey;D. Cliff;G. Miller

  • The Puzzle of the Persistent Question Marks: A Case Study of Genetic Drift

    Inman Harvey

  • Evolution Versus Design: Controlling Autonomous Robots

    P. Husbands;I. Harvey

  • The Horizons of Evolutionary Robotics

    Patricia A. Vargas;Ezequiel A. Di Paolo;Inman Harvey;Phil Husbands

  • Proceedings of the Fourth European Conference on Artificial Life

    Phil Husbands;Inman Harvey

Frequent Co-Authors

Phil Husbands
Phil Husbands University of Sussex
Ezequiel A. Di Paolo
Ezequiel A. Di Paolo University of the Basque Country
Dave Cliff
Dave Cliff University of Bristol
Gabriela Ochoa
Gabriela Ochoa University of Stirling
Peter M. Todd
Peter M. Todd Indiana University
Rachel Wood
Rachel Wood Australian National University
Randall D. Beer
Randall D. Beer Indiana University
Jean-Arcady Meyer
Jean-Arcady Meyer University of Göttingen

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