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.

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Evolutionary Learning
Learning systems
Machine Learning
Cognitive Models
Coevolution
Gaming
Hybrid Approach
Paradigm
Evaluation
Air
Learning

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

Cite this

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title = "Co-evolutionary Learning for Cognitive Computer Generated Entities",
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.",
author = "W.X. Wilcke and M. Hoogendoorn and J.J.M. Roessingh",
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year = "2014",
doi = "10.1007/978-3-319-07467-2_13",
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journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
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Co-evolutionary Learning for Cognitive Computer Generated Entities. / Wilcke, W.X.; Hoogendoorn, M.; Roessingh, J.J.M.

In: Lecture Notes in Computer Science, Vol. 8482, No. 2, 2014, p. 120-129.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Hoogendoorn, M.

AU - Roessingh, J.J.M.

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AB - 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.

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