Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation
Abstract. Multi-agent simulations are powerful tools to study complex systems. However, a major difficulty raised by these simulations concerns the design of the agent behavior. Indeed, when the agent behavior is lead by many conflicting criteria (needs and desires), its definition is very complex....
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ftinraparis:oai:prodinra.inra.fr:391221 2023-05-15T15:34:13+02:00 Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation TAILLANDIER, Patrick Amouroux, Edouard Vo, Duc An Olteanu-Raimond, Ana-Maria 2012 application/pdf http://prodinra.inra.fr/ft/5FB4A8A9-671F-4F52-9092-A92CBD4A7BB4 http://prodinra.inra.fr/record/391221 https://doi.org/10.1007/978-3-642-25920-3_42 eng eng Editions Springer http://creativecommons.org/licenses/by-nd-nc/1.0/ CC-BY-ND-NC Principles and Practice of Multi-Agent Systems. PRIMA 2010. Chapter 42 , 2012; 13th International Conference on Principles and Practice of Multi-Agent Systems - PRIMA 2010, Kolkata, IND, 2010-11-12-2010-11-15, 575-587 Multi-agent simulation;Agent behavior formalization;Belief theory;Avian flu propagation PROCEEDING_PAPER 2012 ftinraparis https://doi.org/10.1007/978-3-642-25920-3_42 2017-05-02T22:24:18Z Abstract. Multi-agent simulations are powerful tools to study complex systems. However, a major difficulty raised by these simulations concerns the design of the agent behavior. Indeed, when the agent behavior is lead by many conflicting criteria (needs and desires), its definition is very complex. In order to address this issue, we propose to use the belief theory to formalize the agent behavior. This formal theory allows to manage the criteria incompleteness, uncertainty and imprecision. The formalism proposed divides the decision making process in three steps: the first one consists in computing the basic belief masses of each criterion; the second one in merging these belief masses; and the last one in making a decision from the merged belief masses. An application of the approach is proposed in the context of a model dedicated to the study of the avian flu propagation. Conference Object Avian flu Institut National de la Recherche Agronomique: ProdINRA 575 587 |
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Institut National de la Recherche Agronomique: ProdINRA |
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ftinraparis |
language |
English |
topic |
Multi-agent simulation;Agent behavior formalization;Belief theory;Avian flu propagation |
spellingShingle |
Multi-agent simulation;Agent behavior formalization;Belief theory;Avian flu propagation TAILLANDIER, Patrick Amouroux, Edouard Vo, Duc An Olteanu-Raimond, Ana-Maria Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
topic_facet |
Multi-agent simulation;Agent behavior formalization;Belief theory;Avian flu propagation |
description |
Abstract. Multi-agent simulations are powerful tools to study complex systems. However, a major difficulty raised by these simulations concerns the design of the agent behavior. Indeed, when the agent behavior is lead by many conflicting criteria (needs and desires), its definition is very complex. In order to address this issue, we propose to use the belief theory to formalize the agent behavior. This formal theory allows to manage the criteria incompleteness, uncertainty and imprecision. The formalism proposed divides the decision making process in three steps: the first one consists in computing the basic belief masses of each criterion; the second one in merging these belief masses; and the last one in making a decision from the merged belief masses. An application of the approach is proposed in the context of a model dedicated to the study of the avian flu propagation. |
format |
Conference Object |
author |
TAILLANDIER, Patrick Amouroux, Edouard Vo, Duc An Olteanu-Raimond, Ana-Maria |
author_facet |
TAILLANDIER, Patrick Amouroux, Edouard Vo, Duc An Olteanu-Raimond, Ana-Maria |
author_sort |
TAILLANDIER, Patrick |
title |
Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
title_short |
Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
title_full |
Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
title_fullStr |
Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
title_full_unstemmed |
Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation |
title_sort |
using belief theory to formalize the agent behavior: application to the simulation of avian flu propagation |
publisher |
Editions Springer |
publishDate |
2012 |
url |
http://prodinra.inra.fr/ft/5FB4A8A9-671F-4F52-9092-A92CBD4A7BB4 http://prodinra.inra.fr/record/391221 https://doi.org/10.1007/978-3-642-25920-3_42 |
genre |
Avian flu |
genre_facet |
Avian flu |
op_source |
Principles and Practice of Multi-Agent Systems. PRIMA 2010. Chapter 42 , 2012; 13th International Conference on Principles and Practice of Multi-Agent Systems - PRIMA 2010, Kolkata, IND, 2010-11-12-2010-11-15, 575-587 |
op_rights |
http://creativecommons.org/licenses/by-nd-nc/1.0/ |
op_rightsnorm |
CC-BY-ND-NC |
op_doi |
https://doi.org/10.1007/978-3-642-25920-3_42 |
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575 |
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587 |
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1766364696247533568 |