@inproceedings{75ed65cf054c498bae698458fb1a95a2,
title = "Towards Diverse Non-Player Character behaviour discovery in multi-agent environments",
abstract = "This paper introduces a method for developing diverse Non-Player Character (NPC) behaviour through a multiagent genetic algorithm based on Map-Elites. We examine the outcomes of implementing our system in a test environment, with a particular emphasis on the diversity of the evolved agents in the feature space. This research is motivated by how diverse NPCs are an important factor for improving player experience. We show how our multi agent map-elite algorithm is capable of isolating the evolved NPCs in the chosen feature space. Results showed that variation in agent fitness could be predicted with 40 % from agent genomes, when agents played 100 games each.",
author = "Jan Kirk and Marco Scirea",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th Annual IEEE Conference on Games, CoG 2024 ; Conference date: 05-08-2024 Through 08-08-2024",
year = "2024",
month = aug,
doi = "10.1109/CoG60054.2024.10645617",
language = "English",
series = "Proceedings - IEEE Conference on Games",
publisher = "IEEE Press",
booktitle = "2024 IEEE Conference on Games (CoG)",
}