![]() ![]() In turn, such new AI methods have been used in computer games, for instance to enhance graphical realism, to generate levels, sceneries and storylines, to establish player profiles, to balance complexity or to add intelligent behaviours to non-playing characters (NPC Yannakakis and Togelius 2015, 2018). ![]() computational intelligence, algorithms, machine learning, and combinatorial game theory (Fujita and Wu 2012). The challenge to defeat human expert players in rule-based strategy games such as Chess, Poker and Go has greatly advanced the domain of AI research, affecting breakthroughs in e.g. All components have been applied and validated in serious games that were tested with real end-users.Ĭomputer games have been linked with artificial intelligence (AI) since the first program was designed to play chess (Shannon 1950). The components come with detailed installation manuals and tutorial videos. All these components are open source software and can be freely downloaded from the newly launched portal at. The reuse of these components enables game developers to develop high quality serious games at reduced costs and in shorter periods of time. ![]() ![]() Serious game AI functionalities include player modelling (real-time facial emotion recognition, automated difficulty adaptation, stealth assessment), natural language processing (sentiment analysis and essay scoring on free texts), and believable non-playing characters (emotional and socio-cultural, non-verbal bodily motion, and lip-synchronised speech), respectively. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game platforms. This article provides a comprehensive overview of artificial intelligence (AI) for serious games. ![]()
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