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Authors: Ayesha Kashif 1 ; Xuan Hoa Binh Le 2 ; Julie Dugdale 1 and Stéphane Ploix 2

Affiliations: 1 LIG – Laboratoire d'Informatique de Grenoble, France ; 2 G-SCOP and ENSGI – INPG, France

Keyword(s): Multi agent system, Inhabitants’ dynamic behaviour, Energy efficiency & management.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: Inhabitants' behaviour is a significant factor that influences energy consumption and has been previously incorporated as static activity profiles within simulation for energy control & management. In this paper an agent-based approach to simulate reactive/deliberative group behaviour has been proposed and implemented. It takes into account perceptual, psychological (cognitive), social behavioural elements and domestic context to generate reactive/deliberative behavioural profiles. The Brahms language is used to implement the proposed approach to learn behavioural patterns for energy control and management strategies.

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Paper citation in several formats:
Kashif, A.; Binh Le, X.; Dugdale, J. and Ploix, S. (2011). AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-41-6; ISSN 2184-433X, SciTePress, pages 190-199. DOI: 10.5220/0003150301900199

@conference{icaart11,
author={Ayesha Kashif. and Xuan Hoa {Binh Le}. and Julie Dugdale. and Stéphane Ploix.},
title={AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2011},
pages={190-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003150301900199},
isbn={978-989-8425-41-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Kashif, A.
AU - Binh Le, X.
AU - Dugdale, J.
AU - Ploix, S.
PY - 2011
SP - 190
EP - 199
DO - 10.5220/0003150301900199
PB - SciTePress

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