World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12838
World Ranking
6703
National Ranking
404

Overview

Simon M. Lucas is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence and its applications in games and related areas.

They have contributed extensively to the study of Artificial Intelligence in Games, with notable topics including:

  • Artificial Intelligence in Games
  • Reinforcement Learning in Robotics
  • Digital Games and Media
  • Evolutionary Algorithms and Applications
  • Educational Games and Gamification
  • Advanced Bandit Algorithms Research
  • Metaheuristic Optimization Algorithms Research

The scientist's frequent co-authors include:

  • Diego Pérez-Liébana (9 publications)
  • Raluca D. Gaina (5 publications)
  • James Goodman (5 publications)
  • Yizhao Jin (4 publications)
  • Greg Slabaugh (4 publications)

Simon M. Lucas has published in a variety of venues, with the most frequent being:

  • arXiv (Cornell University) - 14 publications
  • IEEE Transactions on Games - 8 publications
  • 2020 IEEE Conference on Games (CoG) - 8 publications
  • IEEE Transactions on Emerging Topics in Computational Intelligence - 3 publications
  • IEEE Computational Intelligence Magazine - 2 publications

Recent papers by Simon M. Lucas include:

  • Artificial Intelligence and Games, 2020, KI - Künstliche Intelligenz
  • Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing, 2020, 2020 IEEE Conference on Games (CoG)
  • Choosing Representation, Mutation, and Crossover in Genetic Algorithms, 2022, IEEE Computational Intelligence Magazine
  • Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition, 2020, IEEE Transactions on Games
  • Facebook's Cyber-Cyber and Cyber-Physical Digital Twins, 2021, Evaluation and Assessment in Software Engineering

Simon M. Lucas has also authored a book titled General Video Game Artificial Intelligence, published in 2020 by Morgan & Claypool Publishers.

Best Publications

  • A Survey of Monte Carlo Tree Search Methods

    C. B. Browne;E. Powley;D. Whitehouse;S. M. Lucas

  • ICDAR 2003 robust reading competitions: entries, results, and future directions

    Simon M. Lucas;Alex Panaretos;Luis Sosa;Anthony Tang

  • ICDAR 2003 robust reading competitions

    S.M. Lucas;A. Panaretos;L. Sosa;A. Tang

  • ICDAR 2005 text locating competition results

    S.M. Lucas

  • Towards automatic personalised content creation for racing games

    J. Togelius;R. De Nardi;S.M. Lucas

  • Parallel Problem Solving from Nature – PPSN X

    Günter Rudolph;Thomas Jansen;Nicola Beume;Simon Lucas

  • Evolving mario levels in the latent space of a deep convolutional generative adversarial network

    Vanessa Volz;Jacob Schrum;Jialin Liu;Simon M. Lucas

  • The 2014 General Video Game Playing Competition

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Tom Schaul

  • General Video Game AI: competition, challenges, and opportunities

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Simon M. Lucas

  • General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms

    Diego Perez-Liebana;Jialin Liu;Ahmed Khalifa;Raluca D. Gaina

  • Evolutionary computation and games

    S.M. Lucas;G. Kendall

  • Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man.

    Simon M. Lucas

  • Learning deterministic finite automata with a smart state labeling evolutionary algorithm

    S.M. Lucas;T.J. Reynolds

  • General Video Game Level Generation

    Ahmed Khalifa;Diego Perez-Liebana;Simon M. Lucas;Julian Togelius

  • Making Racing Fun Through Player Modeling and Track Evolution

    J Togelius;R De Nardi;S Lucas

  • Towards a Video Game Description Language

    Marc Ebner;John Levine;Simon M. Lucas;Tom Schaul

  • Evolving controllers for simulated car racing

    J. Togelius;S.M. Lucas

  • Rolling horizon evolution versus tree search for navigation in single-player real-time games

    Diego Perez;Spyridon Samothrakis;Simon Lucas;Philipp Rohlfshagen

  • General video game playing

    John Levine;Clare Bates Congdon;Marc Ebner;Graham Kendall

  • Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go

    T.P. Runarsson;S.M. Lucas

  • Parallel problem solving from nature - PPSN X : 10th international conference, Dortmund, Germany, September 13-17, 2008 : proceedings

    Günter Rudolph;Thomas Jansen;Simon M Lucas;Carlo Poloni

Frequent Co-Authors

Julian Togelius
Julian Togelius New York University
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Günter Rudolph
Günter Rudolph TU Dortmund University
Michael Mateas
Michael Mateas University of California, Santa Cruz
Thomas Jansen
Thomas Jansen Aberystwyth University
Mike Preuss
Mike Preuss Leiden University
Peter I. Cowling
Peter I. Cowling Queen Mary University of London
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of online degrees and career paths. For those looking to advance into leadership roles, consider an online mba cheap option. This can be a cost-effective way to gain essential business and management skills alongside your technical expertise.

If you’re aiming for a fast-track graduate program, explore 1 year online masters programs. These accelerated degrees help you elevate your qualifications quickly and enter the job market sooner.

Looking for credentials that maximize your return on investment? Check out easy online degrees that pay well. These programs emphasize in-demand skills and can lead to high-paying jobs with minimal study time.

Finally, AI continues to revolutionize tech careers. Consider earning one of the best online ai degrees to position yourself at the forefront of innovation.

Best Scientists Citing Simon M. Lucas

Trending Scientists

Recently Published Articles