http://dl.gi.de/handle/20.500.12116/36219 2026-07-23T20:12:19Z http://dl.gi.de/handle/20.500.12116/36280 Uncertainty Handling in Surrogate Assisted Optimisation of Games Volz, Vanessa Real-world problems are often affected by uncertainties of different types and from multiple sources. Algorithms created for expensive optimisation, such as model-based optimisers, introduce additional errors. We argue that these uncertainties should be accounted for during the optimisation process. We thus introduce a benchmark as well as a new surrogate-assisted evolutionary algorithm to investigate this hypothesis further. The benchmark includes two function suites based on procedural content generation for games, which is a common problem observed in games research and also mirrors several types of uncertainties in the real-world. We find that observing and handling the uncertainty present in the problem can improve the optimiser, and also provides valuable insight into the function characteristics. 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36282 AI for Ancient Games Browne, Cameron This report summarises the Digital Ludeme Project, a recently launched 5-year research project being conducted at Maastricht University. This computational study of the world’s traditional strategy games seeks to improve our understanding of early games, their development, and their role in the spread of related mathematical ideas throughout recorded human history. 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36281 A Games Industry Perspective on Recent Game AI Developments Preuss, Mike; Risi, Sebastian 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36279 Special Issue on AI in Games Risi, Sebastian; Preuss, Mike 2020-01-01T00:00:00Z