Alshahrani, Mohammed, Spyridon Samothrakis, and Maria Fasli. 2017. “Word Mover’s Distance for Affect Detection.” In 2017 International Conference on the Frontiers and Advances in Data Science (Fads), 18–23. IEEE.

———. 2019. “Identifying Idealised Vectors for Emotion Detection Using CMA-ES.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 157–58.

Ashlock, Daniel, Wendy Ashlock, Spyridon Samothrakis, Simon Lucas, and Colin Lee. 2012. “From Competition to Cooperation: Co-Evolution in a Rewards Continuum.” In 2012 IEEE Conference on Computational Intelligence and Games (CIG), 33–40. IEEE.

Batsis, Alex, and Spyridon Samothrakis. 2024. “Contextual Reinforcement Learning for Supply Chain Management.” Expert Systems with Applications, 123541.

Browne, Cameron B, Edward Powley, Daniel Whitehouse, Simon M Lucas, Peter I Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton. 2012. “A Survey of Monte Carlo Tree Search Methods.” IEEE Transactions on Computational Intelligence and AI in Games 4 (1): 1–43.

Dwivedi, Yogesh K, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, et al. 2021. “Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy.” International Journal of Information Management 57: 101994.

Fairbank, Michael, Spyridon Samothrakis, and Luca Citi. 2022. “Deep Learning in Target Space.” Journal of Machine Learning Research 23 (8): 1–46.

Friston, Karl, Spyridon Samothrakis, and Read Montague. 2012. “Active Inference and Agency: Optimal Control Without Cost Functions.” Biological Cybernetics 106: 523–41.

Hernandez, Daniel, Kevin Denamganai, Sam Devlin, Spyridon Samothrakis, and James Alfred Walker. 2021. “A Comparison of Self-Play Algorithms Under a Generalized Framework.” IEEE Transactions on Games 14 (2): 221–31.

Hernandez, Daniel, Kevin Denamganaı̈, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, and James Alfred Walker. 2019. “A Generalized Framework for Self-Play Training.” In 2019 IEEE Conference on Games (CoG), 1–8. IEEE.

Long, George EM, Diego Perez-Liebana, and Spyridon Samothrakis. 2023. “Balancing Wargames Through Predicting Unit Point Costs.” In 2023 IEEE Conference on Games (CoG), 1–8. IEEE.

Lotun, Shaaba, Veronica M Lamarche, Spyridon Samothrakis, Gillian M Sandstrom, and Ana Matran-Fernandez. 2022. “Parasocial Relationships on YouTube Reduce Prejudice Towards Mental Health Issues.” Scientific Reports 12 (1): 16565.

Lucas, Simon M, Spyridon Samothrakis, and Diego Perez. 2014. “Fast Evolutionary Adaptation for Monte Carlo Tree Search.” In Applications of Evolutionary Computation: 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers 17, 349–60. Springer Berlin Heidelberg.

Machlanski, Damian, Spyridon Samothrakis, and Paul Clarke. 2023a. “Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation.” arXiv Preprint arXiv:2303.01412.

———. 2023b. “Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice.” arXiv Preprint arXiv:2310.18212.

———. 2024. “Undersmoothing Causal Estimators with Generative Trees.” IEEE Access.

———. n.d. “The Importance of Hyperparameter Tuning in Causal Effect Estimation.”

Oh, I, S Rho, S Moon, S Son, H Lee, J Chung, D Hernandez, et al. n.d. “The Complexities of Random-Turn Hex, Square, and Triangle Games………. Y. Yang, s. Zhou, j. Guan, and c. Shen 180 a Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2…….. H. Yue, h. Liu, and j. Chen 191 Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions…………………………………………………………….. A. Alvarez, s. Dahlskog, j. Font, and j. Togelius 202 Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning…………………….”

Pavia, A, S Samothrakis, T Schaul, N Shaker, Moshe Sipper, J Togelius, G Yannakakis, and F Zambetta. 2015. “Algorithms That Learn to Play Like People.” In Artificial and Computational Intelligence in Games: Integration, 222–23. Schloss Dagstuhl-Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

Perez, Diego, Sanaz Mostaghim, Spyridon Samothrakis, and Simon M Lucas. 2014. “Multiobjective Monte Carlo Tree Search for Real-Time Games.” IEEE Transactions on Computational Intelligence and AI in Games 7 (4): 347–60.

Perez, Diego, Edward J Powley, Daniel Whitehouse, Philipp Rohlfshagen, Spyridon Samothrakis, Peter I Cowling, and Simon M Lucas. 2013. “Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions.” IEEE Transactions on Computational Intelligence and AI in Games 6 (1): 31–45.

Perez, Diego, Edward Powley, Daniel Whitehouse, Spyridon Samothrakis, Simon Lucas, and Peter I Cowling. 2014. “The 2013 Multi-Objective Physical Travelling Salesman Problem Competition.” In 2014 IEEE Congress on Evolutionary Computation (CEC), 2314–21. IEEE.

Perez, Diego, Spyridon Samothrakis, and Simon Lucas. 2013. “Online and Offline Learning in Multi-Objective Monte Carlo Tree Search.” In 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1–8. IEEE.

———. 2014. “Knowledge-Based Fast Evolutionary MCTS for General Video Game Playing.” In 2014 IEEE Conference on Computational Intelligence and Games, 1–8. IEEE.

Perez, Diego, Spyridon Samothrakis, Simon Lucas, and Philipp Rohlfshagen. 2013. “Rolling Horizon Evolution Versus Tree Search for Navigation in Single-Player Real-Time Games.” In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, 351–58.

Perez, Diego, Julian Togelius, Spyridon Samothrakis, Philipp Rohlfshagen, and Simon M Lucas. 2013. “Automated Map Generation for the Physical Traveling Salesman Problem.” IEEE Transactions on Evolutionary Computation 18 (5): 708–20.

Perez, D, S Samothrakis, J Togelius, T Schaul, and S Lucas. 2014. “Gvg-Ai Competition.”

Perez-Liebana, Diego, Spyridon Samothrakis, Julian Togelius, Tom Schaul, and Simon Lucas. 2016. “General Video Game Ai: Competition, Challenges and Opportunities.” In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 30. 1.

Perez-Liebana, Diego, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M Lucas, Adrien Couëtoux, Jerry Lee, Chong-U Lim, and Tommy Thompson. 2015. “The 2014 General Video Game Playing Competition.” IEEE Transactions on Computational Intelligence and AI in Games 8 (3): 229–43.

Pérez-Liébana, Diego, Spyridon Samothrakis, Julian Togelius, Tom Schaul, and Simon M Lucas. 2016. “Analyzing the Robustness of General Video Game Playing Agents.” In 2016 IEEE Conference on Computational Intelligence and Games (CIG), 1–8. IEEE.

Pisheh Var, Mahrad, Michael Fairbank, and Spyridon Samothrakis. 2023a. “A Minimal ‘Functionally Sentient’ Organism Trained with Backpropagation Through Time.” Adaptive Behavior 31 (6): 531–44.

———. 2023b. “Finding Eulerian Tours in Mazes Using a Memory-Augmented Fixed Policy Function.” In Science and Information Conference, 322–39. Springer Nature Switzerland Cham.

Quteineh, Husam, Spyridon Samothrakis, and Richard Sutcliffe. 2020. “Textual Data Augmentation for Efficient Active Learning on Tiny Datasets.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 7400–7410.

———. 2022. “Enhancing Task-Specific Distillation in Small Data Regimes Through Language Generation.” In Proceedings of the 29th International Conference on Computational Linguistics, 29:5955–65. 1. Association for Computational Linguistics.

Raza, Haider, and Spyridon Samothrakis. 2019. “Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary Eeg.” In 2019 International Joint Conference on Neural Networks (IJCNN), 1–7. IEEE.

Salge, Christoph, Emily Short, Mike Preuss, Spyridon Samothrakis, and Pieter Spronck. 2020. “Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP).” In 2020 IEEE Conference on Games (CoG), 612–19. IEEE.

Samothrakis, Spyridon. 2014. “Methods for Tackling Games of Strict Competition.” PhD thesis, University of Essex.

———. 2018a. “Artificial Intelligence and Labour.” arXiv Preprint arXiv:1803.06563.

———. 2018b. “Kathryn e. Merrick: Computational Models of Motivation for Game-Playing Agents: Springer, 2016, 213 Pp, ISBN: 978-3-319-33457-8.” Genetic Programming and Evolvable Machines 19: 567–68.

———. 2021. “Artificial Intelligence Inspired Methods for the Allocation of Common Goods and Services.” Plos One 16 (9): e0257399.

———. 2024. “Artificial Intelligence and Modern Planned Economies: A Discussion on Methods and Institutions.” AI & SOCIETY, 1–12.

———. n.d.a. “Narrative Progression Traits for Role-Playing Games.”

———. n.d.b. “PLANIFICACIÓn ECONÓMICA EN ESPECIE DE BUCLE ABIERTO.”

Samothrakis, Spyridon, Bruno Bouzy, Michael Buro, Setareh Maghsudi, and Tómas Philip. n.d. “3.11 Learning to Learn.” Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI, 99.

Samothrakis, Spyridon, and Maria Fasli. 2015. “Emotional Sentence Annotation Helps Predict Fiction Genre.” PloS One 10 (11): e0141922.

Samothrakis, Spyridon, Maria Fasli, Diego Perez, and Simon Lucas. 2017. “Default Policies for Global Optimisation of Noisy Functions with Severe Noise.” Journal of Global Optimization 67: 893–907.

Samothrakis, Spyridon, and Simon Lucas. 2011. “Approximating n-Player Behavioural Strategy Nash Equilibria Using Coevolution.” In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 1107–14.

Samothrakis, Spyridon, and Simon M Lucas. 2010. “Planning Using Online Evolutionary Overfitting.” In 2010 UK Workshop on Computational Intelligence (UKCI), 1–6. IEEE.

Samothrakis, Spyridon, Simon Lucas, ThomasPhilip Runarsson, and David Robles. 2012. “Coevolving Game-Playing Agents: Measuring Performance and Intransitivities.” IEEE Transactions on Evolutionary Computation 17 (2): 213–26.

Samothrakis, Spyridon, Ana Matran-Fernandez, Umar Abdullahi, Michael Fairbank, and Maria Fasli. 2022. “Grokking-Like Effects in Counterfactual Inference.” In 2022 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE.

Samothrakis, Spyridon, Diego Perez, and Simon Lucas. 2019. “Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection.” Cause Effect Pairs in Machine Learning, 331–38.

Samothrakis, Spyridon, Diego Perez, Simon M Lucas, and Philipp Rohlfshagen. 2014. “Predicting Dominance Rankings for Score-Based Games.” IEEE Transactions on Computational Intelligence and AI in Games 8 (1): 1–12.

Samothrakis, Spyridon, Diego Perez-Liebana, Simon M Lucas, and Maria Fasli. 2015. “Neuroevolution for General Video Game Playing.” In 2015 IEEE Conference on Computational Intelligence and Games (CIG), 200–207. IEEE.

Samothrakis, Spyridon, Samuel A Roberts, Diego Perez, and Simon M Lucas. 2014. “Rolling Horizon Methods for Games with Continuous States and Actions.” In 2014 IEEE Conference on Computational Intelligence and Games, 1–8. IEEE.

Samothrakis, Spyridon, David Robles, and Simon Lucas. 2011. “Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man.” IEEE Transactions on Computational Intelligence and AI in Games 3 (2): 142–54.

Samothrakis, Spyridon, David Robles, and Simon M Lucas. 2010. “A UCT Agent for Tron: Initial Investigations.” In Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 365–71. IEEE.

Samothrakis, Spyridon, Tom Vodopivec, Michael Fairbank, and Maria Fasli. 2017. “Convolutional-Match Networks for Question Answering.” In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2686–92. International Joint Conferences on Artificial Intelligence.

Samothrakis, Spyridon, Tom Vodopivec, Maria Fasli, and Michael Fairbank. 2016. “Match Memory Recurrent Networks.” In 2016 International Joint Conference on Neural Networks (IJCNN), 1339–46. IEEE.

Soemers, Dennis JNJ, Spyridon Samothrakis, Éric Piette, and Matthew Stephenson. 2023. “Extracting Tactics Learned from Self-Play in General Games.” Information Sciences 624: 277–98.

Thue, David, Mirjam Palosaari Eladhari, Joshua Allen McCoy, Mike Preuß, Spyridon Samothrakis, Emily Short, Anne Sullivan, Michael Treanor, and R Michael Young. 2018. “Backstory Generation.” In Dagstuhl Reports, 7:118–19. 11. Schloss Dagstuhl Leibniz-Zentrum für Informatik GmbH.

Vodopivec, Tom, Spyridon Samothrakis, and Branko Ster. 2017. “On Monte Carlo Tree Search and Reinforcement Learning.” Journal of Artificial Intelligence Research 60: 881–936.