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Erschienen in: Artificial Intelligence and Law 1/2013

01.03.2013

Incorporating institutions, norms and territories in a generic model to simulate the management of renewable resources

verfasst von: Sigrid Aubert, Jean-Pierre Müller

Erschienen in: Artificial Intelligence and Law | Ausgabe 1/2013

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Abstract

Management of the renewable natural resources in Madagascar is gradually being transferred to the local communities, particularly that of forest resources. However, these local communities are struggling to assess the consequences of management plans that they themselves must develop and implement on ecologically, economically and socially sustainable grounds. In order to highlight key aspects of different management options beforehand, we have developed MIRANA, a computer model to simulate various scenarios of management plan implementation. MIRANA differs from other simulation models by not only taking into account individual practices and economic exchanges, but also by accounting for the applicable regulations. These regulations are taken into consideration by means of a multiplicity of normative structures within a spatial context. The objective of this paper is to describe the representations of institutions, norms and territories proposed by MIRANA and to discuss these representations in relation to the state of the art in the field of normative multi-agent systems.

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Fußnoten
1
In descriptive logics, they are called ‘roles’, but we do not use this term here to avoid confusion when ‘roles’ is used in the institutional sense.
 
2
It is mainly this locality that defines the contextual feature of these ontologies.
 
3
Some details have been omitted because they are not necessary for this presentation.
 
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Metadaten
Titel
Incorporating institutions, norms and territories in a generic model to simulate the management of renewable resources
verfasst von
Sigrid Aubert
Jean-Pierre Müller
Publikationsdatum
01.03.2013
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence and Law / Ausgabe 1/2013
Print ISSN: 0924-8463
Elektronische ISSN: 1572-8382
DOI
https://doi.org/10.1007/s10506-012-9133-8