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Framework for Enabling Scalable Learning Game AI

Topics: "3A" (Agile, Aspect-oriented and Agent-oriented) Software Engineering; "3A" (Agile, Aspect-oriented and Agent-oriented) Software Engineering; Architectural Design and Meta Architectures; Meta Programming Systems and Meta-Modeling; Model-Driven Engineering; Software and Systems Development Methodologies

Authors: Gabriel Iuhasz 1 ; Victor Ion Munteanu 2 and Viorel Negru 2

Affiliations: 1 West University of Timi?oara, Romania ; 2 West University of Timișoara and Institute e-Austria Timișoara, Romania

Keyword(s): Artificial Intelligence, AI Framework, Game AI.

Related Ontology Subjects/Areas/Topics: Agile Methodologies ; Architectural Design and Meta Architectures ; Cross-Feeding between Data and Software Engineering ; Meta Programming Systems and Meta-Modeling ; Model-Driven Engineering ; Paradigm Trends ; Service-Oriented Software Engineering and Management ; Software and Systems Development Methodologies ; Software Engineering ; Software Engineering Methods and Techniques ; Software Project Management

Abstract: The video game industry is a multibillion-dollar industry in which, due to general short deadlines, game visuals as well as gameplay elements are worked in parallel up until the very last minute. This means that even if the AI system has been designed in parallel with the other game elements, once a change has been made in the late stages of the game development, the AI may prove to be inadequate to the given job. Our article covers some of the existing frameworks for game AI and proposes a multi-agent system which serves as a framework for scalable learning game AI through integration of existing machine learning techniques.

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Paper citation in several formats:
Iuhasz, G.; Ion Munteanu, V. and Negru, V. (2013). Framework for Enabling Scalable Learning Game AI. In Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-8565-62-4; ISSN 2184-4895, SciTePress, pages 189-196. DOI: 10.5220/0004449301890196

@conference{enase13,
author={Gabriel Iuhasz. and Victor {Ion Munteanu}. and Viorel Negru.},
title={Framework for Enabling Scalable Learning Game AI},
booktitle={Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2013},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004449301890196},
isbn={978-989-8565-62-4},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Framework for Enabling Scalable Learning Game AI
SN - 978-989-8565-62-4
IS - 2184-4895
AU - Iuhasz, G.
AU - Ion Munteanu, V.
AU - Negru, V.
PY - 2013
SP - 189
EP - 196
DO - 10.5220/0004449301890196
PB - SciTePress

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