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Professor Simon Lucas

Simon

Professor of Artificial Intelligence

Email: simon.lucas@qmul.ac.uk
Room Number: Peter Landin, CS 320

Research

Research Interests:

Find me on:

The main focus of my research is AI and Games ? both using games an ideal test-bed for AI research, and in using AI to make better game-playing agents, generating new games and optimising game content and game parameters.  This leads on to studying various types of machine learning, with particular emphasis on reinforcement learning and evolutionary algorithms.

I am the director of the Game AI Research Group at Queen Mary University of London  and am also the Queen Mary lead for the EPSRC funded Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI).

Research includes novel approaches to General Video Game AI.

Games are a natural source of noisy optimisation algorithms, and in our group we have developed an efficient approach to this that combines evolutionary algorithms with combinatorial bandit algorithms.  It is called the N-Tuple Bandit Evolutionary Algorithm  and will soon be made open-source: more details available on request.

Publications

  • Guerrero-Romero C, Lucas S, Perez-Liebana D (2023). Beyond Playing to Win: Creating a Team of Agents With Distinct Behaviors for Automated Gameplay. nameOfConference


  • Goodman J, Wallat A, Perez-Liebana D et al. (2023). A case study in AI-assisted board game design. 2023 IEEE Conference on Games (CoG)


  • Goodman J, Perez-Liebana D, Lucas S (2023). Following the Leader in Multiplayer Tabletop Games. Proceedings of the 18th International Conference on the Foundations of Digital Games


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  • Goodman J, Perez D, Lucas SM (2022). Visualising Multiplayer Game Spaces. nameOfConference


  • Dockhorn A, Lucas S (2022). Choosing Representation, Mutation, and Crossover in Genetic Algorithms. nameOfConference


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  • Togelius J, Lucas SM (2006). Arms Races and Car Races. nameOfConference


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  • Bravi I, Lucas S (publicationYear). Rinascimento: Playing Splendor-Like Games With Event-Value Functions. nameOfConference


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  • Goodman J, Perez-Liebana D, Lucas S (2022). MultiTree MCTS in Tabletop Games. IEEE Conference on Games


  • Bojarczuk K, Gucevska N, Lucas S et al. (2021). Measurement Challenges for Cyber Cyber Digital Twins. Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)


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  • Ahlgren J, Bojarczuk K, Drossopoulou S et al. (2021). Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins. Evaluation and Assessment in Software Engineering


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  • Gaina RD, Devlin S, Lucas SM et al. (2021). Rolling Horizon Evolutionary Algorithms for General Video Game Playing. nameOfConference


  • Goodman J, Perez-Liebana D, Lucas S (2021). Fingerprinting Tabletop Games. IEEE Conference on Games


  • Goodman J, Lucas S (2021). Weighting NTBEA for game AI optimisation. nameOfConference

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  • Ovalle A, Lucas SM (2020). Modulation of Viability Signals for Self-regulatory Control. nameOfConference


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  • Tang Z, Zhu Y, Zhao D et al. (publicationYear). Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. nameOfConference


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  • Ovalle A, Lucas SM (2020). Bootstrapped model learning and error correction for planning with uncertainty in model-based RL. 2020 IEEE Conference on Games (CoG)


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  • Lucas SM (2020). Cross-Platform Games in Kotlin. 2020 IEEE Conference on Games (CoG)


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  • Balla M, Lucas SM, Perez-Liebana D (2020). Evaluating Generalisation in General Video Game Playing. 2020 IEEE Conference on Games (CoG)


  • Dockhorn A, Lucas S (2020). Local Forward Model Learning for GVGAI Games. 2020 IEEE Conference on Games (CoG)


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  • Bamford C, Lucas SM (2020). Neural Game Engine: Accurate learning of generalizable forward models from pixels.. 2020 IEEE Conference on Games (CoG)


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  • Volkovas R, Fairbank M, Woodward JR et al. (2020). Practical Game Design Tool: State Explorer. 2020 IEEE Conference on Games (CoG)


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  • Bravi I, Lucas SM (2020). Rinascimento: using event-value functions for playing Splendor. 2020 IEEE Conference on Games (CoG)


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  • Gaina RD, Perez-Liebana D, Lucas SM et al. (2020). Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. 2020 IEEE Conference on Games (CoG)


  • Goodman J, Lucas S (2020). Does it matter how well I know what you’re thinking? Opponent Modelling in an RTS game.. 2020 IEEE World Congress on Computational Intelligence


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  • Schrum J, Gutierrez J, Volz V et al. (2020). Interactive evolution and exploration within latent level-design space of generative adversarial networks. Proceedings of the 2020 Genetic and Evolutionary Computation Conference


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  • Montoliu R, Gaina RD, Pérez-Liebana D et al. (2020). Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. International Conference on the Applications of Evolutionary Computation


  • Perez-Liebana D, Gaina RD, Drageset O et al. (publicationYear). Analysis of Statistical Forward Planning Methods in Pommerman. nameOfConference


  • Lucas S, Shen T, Wang X et al. (2019). General game AI with statistical forward planning algorithms. nameOfConference


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  • Volkovas R, Fairbank M, Woodward JR et al. (2019). Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. 2019 IEEE Conference on Games (CoG)


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  • Bravi I, Perez-Liebana D, Lucas SM et al. (2019). Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. 2019 IEEE Conference on Games (CoG)


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  • Shoop K, Lowthorpe C, Anderson L et al. (2019). The Games Fusion Project: Competencies for Game Design. 2019 IEEE Conference on Games (CoG)


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  • Lucas S, Dockhorn A, Volz V et al. (2019). A Local Approach to Forward Model Learning: Results on the Game of Life Game. IEEE Conference on Games (COG)


  • Dockhorn A, Lucas S, Volz V et al. (2019). Learning Local Forward Models on Unforgiving Games. IEEE Conference on Games (COG)


  • GAINA RALUCA, Lucas S, Perez-Liebana D (2019). Project Thyia: A Forever Gameplayer. IEEE Conference on Games (COG)


  • Gaina RD, Lucas SM, Pérez-Liébana D (publicationYear). Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. nameOfConference


  • Zhao D, Lucas S, Togelius J (2019). Deep Reinforcement Learning and Games [Guest Editorial]. nameOfConference


  • Bravi I, Volz V, Lucas S (2019). Game AI hyperparameter tuning in rinascimento. Proceedings of the Genetic and Evolutionary Computation Conference Companion


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  • Lucas SM, Volz V (2019). Tile pattern KL-divergence for analysing and evolving game levels. Proceedings of the Genetic and Evolutionary Computation Conference


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  • Perez D, Liu J, Abdel Samea Khalifa A et al. (2019). General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. nameOfConference


  • Agapitos A, Loughran R, Nicolau M et al. (2019). A Survey of Statistical Machine Learning Elements in Genetic Programming. nameOfConference


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  • Lucas S, Liu J, Bravi I et al. (2019). Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. Game Simulations Workshop (AAAI)

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  • Volkovas R, Fairbank M, Woodward JR et al. (2019). Extracting Learning Curves From Puzzle Games. 2019 11th Computer Science and Electronic Engineering (CEEC)


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  • Gaina R, Lucas S, Pérez-Liébana D (publicationYear). VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. nameOfConference


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  • Lucas SM (2018). Game AI Research with Fast Planet Wars Variants. 2018 IEEE Conference on Computational Intelligence and Games (CIG)


  • Gaina RD, Lucas SM, Perez-Liebana D (2018). General Win Prediction from Agent Experience. 2018 IEEE Conference on Computational Intelligence and Games (CIG)


  • Bravi I, Perez-Liebana D, Lucas SM et al. (2018). Shallow Decision-Making Analysis in General Video Game Playing. 2018 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Guerrero-Romero C, LUCAS S, PEREZ-LIEBANA D (2018). Using a Team of General AI Algorithms to Assist Game Design and Testing. 2018 IEEE Conference on Computational Intelligence and Games (CIG)


  • Lucas SM, Liu J, Perez-Liebana D (2018). The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. 2018 IEEE Congress on Evolutionary Computation (CEC)


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  • Volz V, Schrum J, Liu J et al. (2018). Evolving mario levels in the latent space of a deep convolutional generative adversarial network. Proceedings of the Genetic and Evolutionary Computation Conference


  • Kunanusont K, Lucas SM, Pérez-Lébana D (2018). Modeling player experience with the n-tuple bandit evolutionary algorithm. nameOfConference

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  • Sironi CF, Liu J, Perez-Liebana D et al. (2018). Self-adaptive MCTS for General Video Game Playing. nameOfConference


  • Rohlfshagen P, Liu J, Perez-Liebana D et al. (2018). Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game. nameOfConference


  • Gaina RD, Couetoux A, Soemers D et al. (2017). The 2016 Two-Player GVGAI Competition. nameOfConference


  • Lucas SM, Liu J, Pérez-Liébana D (2017). Efficient Noisy Optimisation with the Multi-Sample and Sliding Window Compact Genetic Algorithms. 2017 IEEE Symposium Series on Computational Intelligence (SSCI)


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  • Perez-Liebana D, Stephenson M, Gaina RD et al. (2017). Introducing real world physics and macro-actions to general video game ai. nameOfConference


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  • Gaina RD, Lucas SM, Perez-Liebana D (2017). Rolling horizon evolution enhancements in general video game playing. nameOfConference


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  • Gaina RD, Lucas SM, Perez-Liebana D (2017). Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing. nameOfConference


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  • Kunanusont K, Gaina RD, Liu J et al. (2017). The N-Tuple bandit evolutionary algorithm for automatic game improvement. nameOfConference


  • Liu J, Perez-Liebana D, Lucas SM (2017). Bandit-Based Random Mutation Hill-Climbing. 2017 IEEE Congress on Evolutionary Computation (CEC)


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  • Walton-Rivers J, Williams PR, Bartle R et al. (2017). Evaluating and Modelling Hanabi-Playing Agents. 2017 IEEE Congress on Evolutionary Computation (CEC)


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  • Liu J, Togelius J, Pèrez-Liebana D et al. (2017). Evolving Game Skill-Depth Using General Video Game AI Agents. 2017 IEEE Congress on Evolutionary Computation (CEC)


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  • Kunanusont K, Lucas SM, Perez-Liebana D (2017). General Video Game AI: Learning from Screen Capture. 2017 IEEE Congress on Evolutionary Computation (CEC)


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  • Lucas SM (2017). IEEE CIS VP-Education Vision Statement. nameOfConference


  • Gaina RD, Pérez-Liébana D, Lucas SM (2017). General video game for 2 players: Framework and competition. nameOfConference


  • Gaina RD, Liu J, Lucas SM et al. (2017). Analysis of vanilla rolling Horizon evolution parameters in general video game playing. nameOfConference


  • Samothrakis S, Fasli M, Perez D et al. (2016). Default policies for global optimisation of noisy functions with severe noise. nameOfConference


  • Agapitos A, O’Neill M, Kattan A et al. (2017). Recursion in tree-based genetic programming. nameOfConference


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  • Khalifa A, Perez-Liebana D, Lucas SM et al. (2016). General Video Game Level Generation. Proceedings of the Genetic and Evolutionary Computation Conference 2016


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  • Perez-Liebana D, Mostaghim S, Lucas SM (2016). Multiobjective Tree Search Approaches for General Video Game Playing. 2016 IEEE Congress on Evolutionary Computation (CEC)


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  • Perez-Liebana D, Samothrakis S, Togelius J et al. (publicationYear). General Video Game AI: Competition, Challenges and Opportunities. nameOfConference


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  • Pérez-Liébana D, Samothrakis S, Togelius J et al. (2016). Analyzing the Robustness of General Video Game Playing Agents. 2016 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Williams PR, Perez-Liebana D, Lucas SM (2016). Ms. Pac-Man Versus Ghost Team CIG 2016 Competition. 2016 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Liu J, Pérez-Liébana D, Lucas SM (2016). Rolling Horizon Coevolutionary Planning for Two-Player Video Games. 2016 8th Computer Science and Electronic Engineering (CEEC)


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  • Samothrakis S, Perez-Liebana D, Lucas SM et al. (2015). Neuroevolution for General Video Game Playing. 2015 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Runarsson TP, Lucas SM (2015). On Imitating Connect-4 Game Trajectories Using An Approximate N-Tuple Evaluation Function. 2015 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Liebana DP, Dieskau J, Hunermund M et al. (2015). Open Loop Search for General Video Game Playing. Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation


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  • Perez-Liebana D, Samothrakis S, Togelius J et al. (2016). The 2014 General Video Game Playing Competition. nameOfConference


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  • Williams PR, Walton-Rivers J, Perez-Liebana D et al. (2015). Monte Carlo Tree Search Applied to Co-Operative Problems. 2015 7th Computer Science and Electronic Engineering Conference (CEEC)


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  • Lucas SM, Samothrakis S, Pérez D (2014). Fast Evolutionary Adaptation for Monte Carlo Tree Search. nameOfConference


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  • Perez D, Togelius J, Samothrakis S et al. (publicationYear). Automated Map Generation for the Physical Traveling Salesman Problem. nameOfConference


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  • Runarsson TP, Lucas SM (publicationYear). Preference Learning for Move Prediction and Evaluation Function Approximation in Othello. nameOfConference


  • Samothrakis S, Perez D, Lucas SM et al. (2016). Predicting Dominance Rankings for Score-Based Games. nameOfConference


  • Perez D, Mostaghim S, Samothrakis S et al. (2015). Multiobjective Monte Carlo Tree Search for Real-Time Games. nameOfConference


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  • Perez D, Samothrakis S, Lucas S (2014). Knowledge-based Fast Evolutionary MCTS for General Video Game Playing. 2014 IEEE Conference on Computational Intelligence and Games


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  • Samothrakis S, Roberts SA, Perez D et al. (2014). Rolling Horizon methods for Games with Continuous States and Actions. 2014 IEEE Conference on Computational Intelligence and Games


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  • Perez D, Powley E, Whitehouse D et al. (2014). The 2013 Multi-Objective Physical Travelling Salesman Problem Competition. 2014 IEEE Congress on Evolutionary Computation (CEC)


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  • Perez D, Powley EJ, Whitehouse D et al. (publicationYear). Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. nameOfConference


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  • Roberts SA, Lucas SM (2013). Measuring Interestingness of Continuous Game Problems. 2013 IEEE Conference on Computational Inteligence in Games (CIG)


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  • Perez D, Samothrakis S, Lucas S (2013). Online and Offline Learning in Multi-Objective Monte Carlo Tree Search. 2013 IEEE Conference on Computational Inteligence in Games (CIG)


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  • Alhejali A, Lucas SM (2013). Using Genetic Programming to Evolve Heuristics for a Monte Carlo Tree Search Ms Pac-Man Agent. 2013 IEEE Conference on Computational Inteligence in Games (CIG)


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  • Perez D, Samothrakis S, Lucas S et al. (2013). Rolling horizon evolution versus tree search for navigation in single-player real-time games. Proceedings of the 15th annual conference on Genetic and evolutionary computation


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  • Redaktion (2013). Gute Chancen am Arbeitsmarkt für IT-Fachleute und Experten der Mechatronik, Energie- und Elektrotechnik. nameOfConference


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  • Jaimez-González CR, Luna-Ramírez WA, Lucas SM (2012). A web tool for monitoring HTTP asynchronous method invocations. nameOfConference

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  • Sombat W, Rohlfshagen P, Lucas SM (2012). Evaluating the Enjoyability of the Ghosts in MS Pac-Man. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Roberts SA, Lucas SM (2012). Evolving Spaceship Designs for Optimal Control and the Emergence of Interesting Behaviour. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Ashlock D, Ashlock W, Samothrakis S et al. (2012). From Competition to Cooperation: Co-evolution In A Rewards Continuum. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Runarsson TP, Lucas SM (2012). Imitating Play from Game Trajectories: Temporal Difference Learning versus Preference Learning. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Perez D, Rohlfshagen P, Lucas SM (2012). Monte Carlo Tree Search: Long-term versus Short-term Planning. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Samothrakis S, Lucas S, Runarsson TP et al. (2013). Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. nameOfConference


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  • Perez D, Rohlfshagen P, Lucas SM (2012). The Physical Travelling Salesman Problem: WCCI 2012 Competition. 2012 IEEE Congress on Evolutionary Computation


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  • Lucas SM, Rohlfshagen P, Perez D (2012). Towards more intelligent adaptive video game agents. Proceedings of the 9th conference on Computing Frontiers


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  • Browne CB, Powley E, Whitehouse D et al. (2012). A Survey of Monte Carlo Tree Search Methods. nameOfConference


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  • Peña L, Ossowski S, Peña JM et al. (2012). Learning and Evolving Combat Game Controllers. 2012 IEEE Conference on Computational Intelligence and Games (CIG)


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  • Perez D, Rohlfshagen P, Lucas SM (2012). Monte-Carlo Tree Search for the Physical Travelling Salesman Problem. nameOfConference


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  • Robles D, Rohlfshagen P, Lucas SM (2011). Learning Non-Random Moves for Playing Othello: Improving Monte Carlo Tree Search. 2011 IEEE Conference on Computational Intelligence and Games (CIG'11)


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  • Abdullahi AA, Lucas SM (2011). Temporal Difference Learning with Interpolated N-Tuples: Initial Results from a Simulated Car Racing Environment. 2011 IEEE Conference on Computational Intelligence and Games (CIG'11)


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  • Alhejali AM, Lucas SM (2011). Using a Training Camp with Genetic Programming to Evolve Ms Pac-Man Agents. 2011 IEEE Conference on Computational Intelligence and Games (CIG'11)


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  • Samothrakis S, Lucas S (2011). Approximating n-player behavioural strategy nash equilibria using coevolution. Proceedings of the 13th annual conference on Genetic and evolutionary computation


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  • Rohlfshagen P, Lucas SM (2011). Ms Pac-Man versus Ghost Team CEC 2011 Competition. 2011 IEEE Congress of Evolutionary Computation (CEC)


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  • Samothrakis S, Robles D, Lucas S (2011). Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man. nameOfConference


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  • Jaimez-Gonzalez CR, Lucas SM, Lopez-Ornelas EJ (2011). Easy XML Serialization of C# and Java Objects. Proceedings of Balisage: The Markup Conference 2011


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  • Samothrakis S, Lucas SM (2010). Planning using online evolutionary overfitting. 2010 UK Workshop on Computational Intelligence (UKCI)


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  • Abdullahi AA, Lucas SM (2010). Temporal Difference Learning with Interpolated N-Tuple Networks: Initial Results on Pole Balancing. 2010 UK Workshop on Computational Intelligence (UKCI)


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  • Samothrakis S, Robles D, Lucas SM (2010). A UCT Agent for Tron: Initial Investigations. Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games


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  • Lucas SM (2010). Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem. Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games


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  • Alhejali AM, Lucas SM (2010). Evolving Diverse Ms. Pac-Man Playing Agents Using Genetic Programming. 2010 UK Workshop on Computational Intelligence (UKCI)


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  • Lucas SM (2010). Grammatical Inference and Games: Extended Abstract. nameOfConference


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  • Ghanbari S, Woods JC, Lucas SM (2010). Object-based semi-automatic tool for content retrieval. nameOfConference


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  • Albakour M-D, Kruschwitz U, Lucas S (2010). Sentence-Level Attachment Prediction. nameOfConference


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  • Romano D, Moffat D, El Rhalibi A et al. (2009). AI and Games Symposium. nameOfConference

    DOI: doi

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  • Albakour MD, Blackwell R, Kruschwitz U et al. (2009). Managing collaboration projects using semantic email search. nameOfConference

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  • Ghanbari S, Woods JC, Lucas SM (2009). BPT Using Multi-Dimensional Information for Semi-Automatic Content Retrieval. 2009 Conference for Visual Media Production


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  • Robles D, Lucas SM (2009). A Simple Tree Search Method for Playing Ms. Pac-Man. 2009 IEEE Symposium on Computational Intelligence and Games


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  • Burrow P, Lucas SM (2009). Evolution versus Temporal Difference Learning for Learning to Play Ms. Pac-Man. 2009 IEEE Symposium on Computational Intelligence and Games


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  • Lucas SM (2009). Temporal Difference Learning with Interpolated Table Value Functions. 2009 IEEE Symposium on Computational Intelligence and Games


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  • Theodoridis T, Agapitos A, Hu H et al. (2009). Mechanical Feature Attributes for Modeling and Pattern Classification of Physical Activities. 2009 International Conference on Information and Automation


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  • Foullon-Pérez A, Lucas SM (2009). Orientational Features with the SNT-Grid. 2009 International Joint Conference on Neural Networks


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  • Ghanbari S, Woods JC, Lucas SM (2009). Semi-Automatic BPT for Image Retrieval. 2009 Seventh International Workshop on Content-Based Multimedia Indexing


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  • Lucas SM (2009). Computational Intelligence and AI in Games: A New IEEE Transactions. nameOfConference


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  • Ghanbari S, Woods JC, Lucas SM (2009). Multi-dimensional BPTs for Content Retrieval. nameOfConference


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  • Agapitos A, Dyson M, Lucas SM et al. (2008). Learning to recognise mental activities: Genetic programming of stateful classifiers for brain-computer interfacing. nameOfConference

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  • Agapitos A, Togelius J, Lucas SM et al. (2008). Generating Diverse Opponents with Multiobjective Evolution. 2008 IEEE Symposium On Computational Intelligence and Games


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  • Lucas SM (2008). Investigating Learning Rates for Evolution and Temporal Difference Learning. 2008 IEEE Symposium On Computational Intelligence and Games


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  • Loiacono D, Togelius J, Lanzi PL et al. (2008). The WCCI 2008 Simulated Car Racing Competition. 2008 IEEE Symposium On Computational Intelligence and Games


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  • Rudolph G, Jansen T, Lucas S et al. (2008). Parallel Problem Solving from Nature - PPSN X - 10th International Conference, Proceedings: Preface. nameOfConference

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  • Agapitos A, Dyson M, Kovalchuk J et al. (2008). On the genetic programming of time-series predictors for supply chain management. Proceedings of the 10th annual conference on Genetic and evolutionary computation


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  • Togelius J, Lucas S, Thang HD et al. (2008). The 2007 IEEE CEC simulated car racing competition. nameOfConference


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  • Theodoridis T, Agapitos A, Hu H et al. (2008). Ubiquitous Robotics in Physical Human Action Recognition: A Comparison Between Dynamic ANNs and GP. 2008 IEEE International Conference on Robotics and Automation


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  • Prabaharan SRS, Chowdari BVR, Brodd RJ (2008). The preface. nameOfConference


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  • Lucas SM (2008). Computational intelligence and games: Challenges and opportunities. nameOfConference


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  • Ghanbari S, Woods JC, Rabiee HR et al. (2008). WAVELET DOMAIN BINARY PARTITION TREES FOR IMAGE SEGMENTATION. 2008 International Workshop on Content-Based Multimedia Indexing


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  • González CRJ, Lucas SM (2007). Implementing a state-based application using Web objects in XML. nameOfConference

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  • LUCAS SM, DAMPER RI (1990). Syntactic Neural Networks. nameOfConference


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  • Togelius J, Burrow P, Lucas SM (2007). Multi-population competitive co-evolution of car racing controllers. 2007 IEEE Congress on Evolutionary Computation


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  • Agapitos A, Togelius J, Lucas SM (2007). Evolving controllers for simulated car racing using object oriented genetic programming. Proceedings of the 9th annual conference on Genetic and evolutionary computation


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  • Togelius J, De Nardi R, Marques H et al. (2007). Nonlinear dynamics modelling for controller evolution. Proceedings of the 9th annual conference on Genetic and evolutionary computation


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  • Galvan-Lopez E, Togelius J, Lucas S (2007). Towards understanding the effects of neutrality on the sudoku problem. Proceedings of the 9th annual conference on Genetic and evolutionary computation


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  • Lucas SM, Reynolds TJ (2007). Learning Finite-State Transducers: Evolution Versus Heuristic State Merging. nameOfConference


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  • Lucas SM, Togelius J (2007). Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning. 2007 IEEE Symposium on Computational Intelligence and Games


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  • Marques H, Togelius J, Kogutowska M et al. (2007). Sensorless but not Senseless: Prediction in Evolutionary Car Racing. 2007 IEEE Symposium on Artificial Life


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  • Togelius J, De Nardi R, Lucas SM (2007). Towards Automatic Personalised Content Creation for Racing Games. 2007 IEEE Symposium on Computational Intelligence and Games


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  • Lucas SM (2007). A Statistically Aligned Recombination Operator for Finite State Machines. 2007 IEEE Congress on Evolutionary Computation


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  • Togelius J, Lucas SM, Nardi RD (2007). Computational Intelligence in Racing Games. nameOfConference


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  • Agapitos A, Lucas SM (2007). Evolving Modular Recursive Sorting Algorithms. nameOfConference


    QMRO: qmroHref
  • Agapitos A, Lucas SM (2007). Evolving a Statistics Class Using Object Oriented Evolutionary Programming. nameOfConference


    QMRO: qmroHref
  • Lucas SM (2007). Games Technical Committee. nameOfConference


    QMRO: qmroHref
  • Agapitos A, Togelius J, Lucas SM (2007). Multiobjective techniques for the Use of State in Genetic Programming applied to Simulated Car Racing. 2007 IEEE Congress on Evolutionary Computation


    QMRO: qmroHref
  • Lo MY, Lucas SM (2007). N-Gram Fitness Function with a Constraint in a Musical Evolutionary System. 2007 IEEE Congress on Evolutionary Computation


    QMRO: qmroHref
  • Ghanbari S, Woods JC, Rabiee HR et al. (2007). Wavelet domain binary partition trees for semantic object extraction. nameOfConference


    QMRO: qmroHref
  • De Nardi R, Togelius J, Holland OE et al. (2006). Evolution of neural networks for helicopter control: Why modularity matters. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Agapitos A, Lucas SM (2006). Evolving efficient recursive sorting algorithms. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lo MY, Lucas SM (2006). Evolving musical sequences with N-gram based trainable fitness functions. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Togelius J, Lucas SM (2006). Evolving robust and specialized car racing skills. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Moraglio A, Togelius J, Lucas S (2006). Product geometric crossover for the Sudoku puzzle. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Downton A, He J, Lucas S (2007). User-configurable OCR enhancement for online natural history archives. nameOfConference


    QMRO: qmroHref
  • Lucas SM, Runarsson TP (2006). Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation. 2006 IEEE Symposium on Computational Intelligence and Games


    QMRO: qmroHref
  • Lucas SM, Kendall G (2006). Evolutionary computation and games. nameOfConference


    QMRO: qmroHref
  • Agapitos A, Lucas SM (2006). Learning Recursive Functions with Object Oriented Genetic Programming. nameOfConference


    QMRO: qmroHref
  • Runarsson TP, Lucas SM (2005). Coevolution Versus Self-Play Temporal Difference Learning for Acquiring Position Evaluation in Small-Board Go. nameOfConference


    QMRO: qmroHref
  • Lucas SM (2005). Evolving a neural network location evaluator to play Ms. Pac-Man. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Togelius J, Lucas SM (2005). Forcing neurocontrollers to exploit sensory symmetry through hard-wired modularity in the game of Cellz. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM, Gonźalez CRJ (2005). Web-based deployment of text locating algorithms. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Togelius J, Lucas SM (2005). Evolving controllers for simulated car racing. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM, Panaretos A, Sosa L et al. (2005). ICDAR 2003 robust reading competitions: entries, results, and future directions. nameOfConference


    QMRO: qmroHref
  • Lucas S, Vidal E, Amiri A et al. (1994). A comparison of syntactic and statistical techniques for off-line OCR. nameOfConference


    QMRO: qmroHref
  • Lucas SM, Reynolds TJ (2005). Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm. nameOfConference


    QMRO: qmroHref
  • Lucas SM, Cho KT (2005). Fast Convolutional OCR with the Scanning N-Tuple Grid. Eighth International Conference on Document Analysis and Recognition (ICDAR'05)


    QMRO: qmroHref
  • Lucas SM (2005). ICDAR 2005 Text Locating Competition Results. Eighth International Conference on Document Analysis and Recognition (ICDAR'05)


    QMRO: qmroHref
  • Lucas SM (2004). Cellz: A simple dynamic game for testing evolutionary algorithms. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (2004). Exploiting Reflection in Object Oriented Genetic Programming. nameOfConference


    QMRO: qmroHref
  • Keijzer M, O’Reilly UM, Lucas S et al. (2004). Preface. nameOfConference


    QMRO: qmroHref
  • Lucas SM, Huang T-K (2004). Sequence Recognition with Scanning N-Tuple Ensembles. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.


    QMRO: qmroHref
  • Lucas SM (2003). Discriminative Training of the Scanning N-Tuple Classifier. nameOfConference


    QMRO: qmroHref
  • Lucas SM (2003). Evolving Finite State Transducers: Some Initial Explorations. nameOfConference


    QMRO: qmroHref
  • Downton AC, Lucas SM, Patoulas G et al. (2003). Computerising Natural History Card Archives. Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.


    QMRO: qmroHref
  • Lucas SM, Patoulas G, Downton AC (2003). Fast Lexicon-Based Word Recognition in Noisy Index Card Images. Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.


    QMRO: qmroHref
  • Lucas SM, Panaretos A, Sosa L et al. (2003). ICDAR 2003 Robust Reading Competitions. Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.


    QMRO: qmroHref
  • Lucas SM, Reynolds TJ (2003). Learning DFA: Evolution versus Evidence Driven State Merging. The 2003 Congress on Evolutionary Computation, 2003. CEC '03.


    QMRO: qmroHref
  • Ishidera E, Lucas SM, Downton AC (2002). Likelihood word image generation model for word recognition. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (2002). Web-based evaluation and deployment of pattern recognizers. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Ishidera E, Lucas SM, Downton AC (2002). Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition. nameOfConference


    QMRO: qmroHref
  • Lucas S (2002). Evolving Spring-Mass Models: A Test-Bed for Graph Encoding Schemes. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)


    QMRO: qmroHref
  • Lucas S (2001). Efficient graph-based dictionary search and its application to text-image searching. nameOfConference


    QMRO: qmroHref
  • Downton AC, Tams AC, Wells GJ et al. (2001). Constructing Web-Based Legacy Index Card Archives - Architectural Design Issues and Initial Data Acquisition. Proceedings of Sixth International Conference on Document Analysis and Recognition


    QMRO: qmroHref
  • Lucas SM, Tams AC, Cho SJ et al. (2001). Robust Word Recognition for Museum Archive Card Indexing. Proceedings of Sixth International Conference on Document Analysis and Recognition


    QMRO: qmroHref
  • Lucas S, Beattie P, Coy J (2000). Automatic evaluation of adaptive algorithms over the Internet. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S, Sarampalis K (2000). Automatic evaluation of algorithms over the Internet. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (2000). Efficient best-first dictionary search given graph-based input. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (2000). Specifying intrinsically adaptive architectures. 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00EX448)


    QMRO: qmroHref
  • Downton AC, Lucas SM (1999). Interactive archive card index conversion and verification. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (1999). Rapid best first retrieval from massive dictionaries with poorly segmented inputs. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (1999). Designing video-joysticks. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Downton AC, Lucas SM (1999). Interactive archive card index conversion and verification. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (1999). Rapid best first retrieval from massive dictionaries with poorly segmented inputs. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Downton AC, Lucas SM, Du L (1999). Lazy evaluation for best-first contextual handwriting recognition. Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318)


    QMRO: qmroHref
  • Downton AC, Lucas SM, Cracknell C (1998). Document and Handwriting Analysis for Archive Index Card Conversion. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1998). Real-time face recognition with the continuous n-tuple classifier. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1998). Spatially aware rapid retrieval system (SPARRS). nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Siddiqi AA, Lucas SM (1998). Comparison of matrix rewriting versus direct encoding for evolving neural networks. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1998). Continuous n-tuple classifier and its application to real-time face recognition. nameOfConference


    QMRO: qmroHref
  • Lucas SM (1998). Fast exact parallel implementation of the k-nearest neighbour pattern classifier. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Du L, Downton AC, Lucas SM (1997). A unified object-Oriented toolkit for discrete contextual computer vision. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1997). Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1997). Continuous n-tuple classifier and its application to face recognition. nameOfConference


    QMRO: qmroHref
  • Lucas SM (1997). Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours. nameOfConference


    QMRO: qmroHref
  • Du L, Downton AC, Lucas SM et al. (1997). Generalized contextual recognition of hand-printed documents using semantic trees with lazy evaluation. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (1996). Can scanning n-tuple classifiers be improved by pre-transforming training data?. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Du L, Lucas SM, Downton AC (1996). Computationally efficient contextual processing for handwritten forms. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Amiri A, Du L, Downton AC et al. (1996). Optimised hand-printed character recognition using neural network cascades. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1996). Rapid best-first retrieval from massive dictionaries. nameOfConference


    QMRO: qmroHref
  • Lucas S (1996). Rapid content-based retrieval from document image databases. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S, Amiri A (1996). Statistical syntactic methods for high-performance OCR. nameOfConference


    QMRO: qmroHref
  • Downton AC, Amiri A, Du L et al. (1995). Configurable toolkit approach to handwritten forms recognition. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1995). Rapid best-first retrieval from massive dictionaries by lazy evaluation of a syntactic neural network. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM (1995). Rapid searching of massive dictionaries given uncertain inputs. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Amiri A, Lucas S (1995). Recognition of chain-coded handwritten character images with scanning n-tuple method. nameOfConference


    QMRO: qmroHref
  • Lucas SM (1995). High performance OCR with syntactic neural networks. 4th International Conference on Artificial Neural Networks


    QMRO: qmroHref
  • Lucas SM (1995). Towards the open ended evolution of neural networks. 1st International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA)


    QMRO: qmroHref
  • Lucas S, Amiri A, Hanlon SJ (1994). Robust syntactic recognition techniques for OCR. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S (1994). Structuring chromosomes for context-free grammar evolution. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S, Zhao Z, Cawley G et al. (1993). On decomposing MLPs. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S, Zhao Z, Cawley G et al. (1993). Pattern recognition with the decomposed multilayer perceptron. nameOfConference


    QMRO: qmroHref
  • Lucas SM, Damper RI (1992). A connectionist approach to text-phonemics translation using syntactic neural networks. [Proceedings] 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers


    QMRO: qmroHref
  • Lucas S (1992). An algebraic approach to learning in syntactic neural networks. [Proceedings 1992] IJCNN International Joint Conference on Neural Networks


    QMRO: qmroHref
  • Lucas S (1991). Algebraic learning in syntactic neural networks. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas S, Damper B (1991). Syntactic neural networks for text-phonetics translation. [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing


    QMRO: qmroHref
  • Lucas SM, Damper RI (1990). Signature verification with a syntactic neural net. 1990 IJCNN International Joint Conference on Neural Networks


    QMRO: qmroHref
  • Lucas SM, Damper RI (1990). TEXT-TO-PHONETICS TRANSLATION WITH SYNTACTIC NEURAL NETS. nameOfConference

    DOI: doi

    QMRO: qmroHref
  • Lucas SM, Damper RI (1989). New learning paradigm for neural networks. nameOfConference

    DOI: doi

    QMRO: qmroHref
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