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Use of the Belief Theory to formalize Agent Decision Making Processes : Application to cropping Plan Decision Making

Journal article published in 2011 by Patrick Taillandier ORCID, Olivier Therond ORCID, Others
This paper is available in a repository.
This paper is available in a repository.

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Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
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Published version: policy unknown

Abstract

The agent-based simulation is a powerful tool to study complex systems. It allows to take into account different levels of granularity, as well as the heterogeneity of the entities composing the system. One of the main issues raised by these simulations concerns the design of the agent behavior. Indeed, when the agent behavior is led by many conflicting needs, desires and necessities, its definition can be very complex. In order to address this issue, we propose a new formalism to define the agent decision making process. This formalism is based on the belief theory, which is a formal theory about reasoning that allows to manage information incompleteness, uncertainty and imprecision. An application of the approach is proposed in the context of a model dedicated to cropping plan decision-making.