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Research topic: Opponent Modelling in Tabletop Games

James is interested in opponent modelling, theory of mind and strategic communication in multi-player games - what do I think that she thinks that you think, and should I tell you? In particular how this can be integrated efficiently into statistical forward planning algorithms. At various points James has picked up degrees in Chemistry, History, Mathematics, Business Administration and Machine Learning. After a career in Consultancy and IT Project Management of global financial systems he is now finally doing the research he always wanted to. Otherwise he can be found playing tabletop games and writing LARPs.

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GAIG Publications

2024

2023

2022

2021

• AIIDE 2021 TAG: Terraforming Mars
  Raluca D. Gaina and James Goodman and Diego Perez-Liebana, in Proceedings of the 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2021.
  pubs-2021  aiide  game-analysis  tabletop-games  general-game-playing  rhea  mcts  terraforming-mars
  
  

2020

• IEEE COG 2020 Metagame Autobalancing for Competitive Multiplayer Games
  Hernandez, Daniel and Gbadamosi, Charles Takashi Toyin and Goodman, James and Walker, James Alfred, in IEEE Conference on Games (CoG), pp. 275-282, 2020.
  pubs-2020  ieee-cog  reinforcement-learning  game-balance  fighting-games
  
  
• IEEE CEC 2020 Does it matter how well I know what you’re thinking? Opponent Modelling in an RTS game
  Goodman, James and Lucas, Simon, in IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, 2020.
  pubs-2020  ieee-cec  opponent-modelling  strategy-games
  
  
• 2020 AI and Wargaming
  Goodman, James and Risi, Sebastian and Lucas, Simon, in arxiv:2009.08922, 2020.
  pubs-2020  arxiv  war-games
  
  
• 2020 Weighting NTBEA for Game AI Optimisation
  Goodman, James and Lucas, Simon, in arXiv:2003.10378, 2020.
  pubs-2020  arxiv  optimisation  evolutionary-algorithms  ntbea
  
  

2019