Adding Variety in NPCs Behaviour Using Emotions and Genetic Algorithms: the GENIE Project

Created by W.Langdon from gp-bibliography.bib Revision:1.9039

@Misc{CoG-19_paper_71,

• author = "Federica Agliata and Laura Anna Ripamonti and Dario Maggiorini and Davide Gadia",
• title = "Adding Variety in {NPCs} Behaviour Using Emotions and Genetic Algorithms: the {GENIE} Project",
• keywords = "genetic algorithms, genetic programming, Genes Driven Decision Tree, GENIE, Games, Artificial Intelligence, AI, NPC Behaviour, Non Playing Characte, FPS, First Person Shooter, Stealth, Role-Playing Game, RPG, Roguelike",
• URL = "https://air.unimi.it/retrieve/handle/2434/698363/1817294/CoG-19_paper_71.pdf",
• size = "8 pages",
• abstract = "In recent years we have been observing an increasing adoption of artificial intelligence in video games. With the availability of increasingly powerful hardware and advanced algorithms we can now scale up the quality of the AI available to every Non Playing Character (NPC). Thanks to this increased quality, NPCs can be made very believable and able to convey a compelling user experience. Despite this added quality and complexity, every NPC can get predictable with time and game designers are struggling to provide variety in games where many NPCs are present. Designing a specific, and unique, AI for every NPC can be a very time and resource consuming task. we propose GENIE (Genes Driven Decision Tree) as a tool to support game designers in the creation of a wide variety of behaviours. With GENIE, it is possible to define an NPC behaviour in term of reactions to its internal parameters. These parameters, in turn, are evaluated and generated using a genetic algorithm. NPCs can then evolve to different internal states and interact with the player using each time a different behaviour.",

}

Genetic Programming entries for Federica Agliata Laura Anna Ripamonti Dario Maggiorini Davide Gadia

Citations