Co-evolutionary Learning for Cognitive Computer Generated Entities

W.X. Wilcke, M. Hoogendoorn, J.J.M. Roessingh

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this paper, an approach is advocated to use a hybrid approach towards learning behaviour for computer generated entities (CGEs) in a serious gaming setting. Hereby, an agent equipped with cognitive model is used but this agent is enhanced with Machine Learning (ML) capabilities. This facilitates the agent to exhibit human like behaviour but avoid an expert having to define all parameters explicitly. More in particular, the ML approach utilizes co-evolution as a learning paradigm. An evaluation in the domain of one-versus-one air combat shows promising results.
Original languageEnglish
Pages (from-to)120-129
JournalLecture Notes in Computer Science
Volume8482
Issue number2
DOIs
Publication statusPublished - 2014
Event27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems -
Duration: 3 Jun 20146 Jun 2014

Bibliographical note

Proceedings title: Modern Advances in Applied Intelligence
Publisher: Springer International Publishing
ISBN: 978-3-319-07466-5
Editors: M Ali, JS Pan, SM Chen, MF Horng

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