Agent-based Modelling: What Matters is Action
Computer-aided management tools or models of production systems in the manufacturing or agricultural domains generally rely implicitly on the theory of planned action. Every action is assumed to be part of an anticipated sequence leading from a current state to a predetermined goal. The main limits of this classical view are due to the difficulty to deal with unexpected changes and disturbances. To overcome these limits, we developed an agent model based on the theory of situated action. Whereas the classical approach puts the emphasis on actor's decision (action being assumed to straightforwardly follow), situated action is viewed as a process endowed with a temporal thickness, spontaneously emerging from the situations created by the local interactions between the actor and its environment. This model, accounting for both the temporal and spatial dimensions of action as well as its contingent features, implements the concepts of affordance (capacity of objects to trigger actions) and stigmergy (self-organization mediated by marks left by individuals in their environment). Therefore we propose a multi-agents system where the perspective is reversed compared with the usual view: in our model it is the environment which is agentified and, so, endowed with the capacity of acting by handling the entities it contains. Unlike in classical multi-agents systems, these entities (standing for humans, animals…) are, actually, considered as non-autonomous and passive. After advocating our choice to put the emphasis on action rather than on decision to represent actual human activity, we explain the concepts of affordance and stigmergy and outline the non-classical multi-agents system we devised with the perspective to simulate agricultural production systems.
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Université de Toulouse
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Subjects: | U10 - Informatique, mathématiques et statistiques, U30 - Méthodes de recherche, A01 - Agriculture - Considérations générales, |
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dig-cirad-fr-5813312018-11-14T10:04:46Z http://agritrop.cirad.fr/581331/ http://agritrop.cirad.fr/581331/ Agent-based Modelling: What Matters is Action. Guerrin François, Afoutni Zoubida, Courdier Remy. 2016. In : Proceedings of the 8th International Congress on Environmental Modelling and Software. Sauvage, S. (ed.), Sánchez-Pérez, J.M. (ed.), Rizzoli, A.E. (ed.). Toulouse : Université de Toulouse, 412-419. ISBN 978-88-9035-745-9 International Congress on Environmental Modelling and Sofware (iEMSs 2016). 8, Toulouse, France, 10 Juillet 2016/14 Juillet 2016.https://scholarsarchive.byu.edu/iemssconference/2016/ <https://scholarsarchive.byu.edu/iemssconference/2016/> Researchers Agent-based Modelling: What Matters is Action Guerrin, François Afoutni, Zoubida Courdier, Remy eng 2016 Université de Toulouse Proceedings of the 8th International Congress on Environmental Modelling and Software U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales Computer-aided management tools or models of production systems in the manufacturing or agricultural domains generally rely implicitly on the theory of planned action. Every action is assumed to be part of an anticipated sequence leading from a current state to a predetermined goal. The main limits of this classical view are due to the difficulty to deal with unexpected changes and disturbances. To overcome these limits, we developed an agent model based on the theory of situated action. Whereas the classical approach puts the emphasis on actor's decision (action being assumed to straightforwardly follow), situated action is viewed as a process endowed with a temporal thickness, spontaneously emerging from the situations created by the local interactions between the actor and its environment. This model, accounting for both the temporal and spatial dimensions of action as well as its contingent features, implements the concepts of affordance (capacity of objects to trigger actions) and stigmergy (self-organization mediated by marks left by individuals in their environment). Therefore we propose a multi-agents system where the perspective is reversed compared with the usual view: in our model it is the environment which is agentified and, so, endowed with the capacity of acting by handling the entities it contains. Unlike in classical multi-agents systems, these entities (standing for humans, animals…) are, actually, considered as non-autonomous and passive. After advocating our choice to put the emphasis on action rather than on decision to represent actual human activity, we explain the concepts of affordance and stigmergy and outline the non-classical multi-agents system we devised with the perspective to simulate agricultural production systems. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/581331/1/ID581331.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://scholarsarchive.byu.edu/iemssconference/2016/ info:eu-repo/semantics/altIdentifier/purl/https://scholarsarchive.byu.edu/iemssconference/2016/ |
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U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales |
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U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales Guerrin, François Afoutni, Zoubida Courdier, Remy Agent-based Modelling: What Matters is Action |
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Computer-aided management tools or models of production systems in the manufacturing or agricultural domains generally rely implicitly on the theory of planned action. Every action is assumed to be part of an anticipated sequence leading from a current state to a predetermined goal. The main limits of this classical view are due to the difficulty to deal with unexpected changes and disturbances. To overcome these limits, we developed an agent model based on the theory of situated action. Whereas the classical approach puts the emphasis on actor's decision (action being assumed to straightforwardly follow), situated action is viewed as a process endowed with a temporal thickness, spontaneously emerging from the situations created by the local interactions between the actor and its environment. This model, accounting for both the temporal and spatial dimensions of action as well as its contingent features, implements the concepts of affordance (capacity of objects to trigger actions) and stigmergy (self-organization mediated by marks left by individuals in their environment). Therefore we propose a multi-agents system where the perspective is reversed compared with the usual view: in our model it is the environment which is agentified and, so, endowed with the capacity of acting by handling the entities it contains. Unlike in classical multi-agents systems, these entities (standing for humans, animals…) are, actually, considered as non-autonomous and passive. After advocating our choice to put the emphasis on action rather than on decision to represent actual human activity, we explain the concepts of affordance and stigmergy and outline the non-classical multi-agents system we devised with the perspective to simulate agricultural production systems. |
format |
conference_item |
topic_facet |
U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche A01 - Agriculture - Considérations générales |
author |
Guerrin, François Afoutni, Zoubida Courdier, Remy |
author_facet |
Guerrin, François Afoutni, Zoubida Courdier, Remy |
author_sort |
Guerrin, François |
title |
Agent-based Modelling: What Matters is Action |
title_short |
Agent-based Modelling: What Matters is Action |
title_full |
Agent-based Modelling: What Matters is Action |
title_fullStr |
Agent-based Modelling: What Matters is Action |
title_full_unstemmed |
Agent-based Modelling: What Matters is Action |
title_sort |
agent-based modelling: what matters is action |
publisher |
Université de Toulouse |
url |
http://agritrop.cirad.fr/581331/ http://agritrop.cirad.fr/581331/1/ID581331.pdf |
work_keys_str_mv |
AT guerrinfrancois agentbasedmodellingwhatmattersisaction AT afoutnizoubida agentbasedmodellingwhatmattersisaction AT courdierremy agentbasedmodellingwhatmattersisaction |
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