Lauren Thévin

Situated Artificial Institution to Support Advanced Regulation in the Field of Crisis Management

This paper highlights the use of Situated Artificial Institution (SAI) within an hybrid, interactive, normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. This dynamics result both from environment evolution and actors actions. Our objective is to couple norms to environment state to provide a context aware crisis regulation. Introducing a constitutive level between environmental and normative states provides a loosely coupling of norms with the environment. Norms are thus no more referring to environmental facts but to status functions, i.e. institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct SAI modelling succeeds in managing the interpretation of the events while taking into account organizational context.

Situated Regulation on a Crisis Management Collaboration Platform

Collaborative platforms are useful to mediate the interaction among the different actors involved on a crisis management. This paper demonstrates the grounding of the policies that regulate crisis management activities on the concrete environment where the collaborative platform is deployed. This grounded regulation is enabled by the abstractions and constructs of the Situated Artificial Institution model.

Supporting flexible regulation of crisis management by means of situated artificial institution

This paper highlights the use of situated artificial institution (SAI) within a hybrid, interactive, normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. This dynamics results from both environment evolution and actors’ actions. Our objective is to situate norms in the environment in order to provide a context-aware crisis regulation. However, this coupling must be a loose one to keep both levels independent and easyto-change in order to face the complex and changing crisis situations. To that aim, we introduce a constitutive level between environmental and normative states providing a loose coupling of normative regulation with environment evolution. Norms are thus no more referring to environmental facts but to status functions, i.e., the institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct SAI modelling succeeds in managing the crisis with a context-aware crisis regulation.

Un système multi-agent normatif hybride pour l’interaction mixte

Nous presentons une approche pour la conception d’un systeme multi-agent de preparation des acteurs communaux a la gestion de crises, dans le contexte d’une interaction via des tables tangibles distribuees. Notre point focal est celui des normes qui regissent ces interventions. Le role du systeme est d’analyser la validite des interventions au sens de ces normes et de transmettre des feedbacks appropries. La perspective normative permet une modelisation unifiee des 3 facettes (production, coordination et communication) de la collaboration. Nous presentons les premieres etapes de conception, qui s’appuie sur la plateforme JaCaMo, ainsi qu’un exemple d’application a des scenarios simples.

Institution artificielle située pour une aide à la régulation de la gestion de crises

This paper highlights the use of Situated Artificial Institution within an hybrid, interactive, normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. In order to provide a flexible crisis regulation, situated in the context, we insert a constitutive level between environmental and normative states. Norms are thus no more referring to environmental facts but to institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct modelling succeeds in managing the interpretation of the events while taking into account organizational context. MOTS-CLÉS : institution, norme, interaction tangible, gestion de crises.