Multi-agent Based Simulation of Animal Food Selective Behavior in a Pastoral System

Henane, Islem; Saïd, Lamjed Ben; Hadouaj, Sameh El; Ragged, Nasr

doi:10.1007/978-3-642-13480-7_30

Cited by 3 publications

(1 citation statement)

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“…Virtual environments have been used for the analysis and improved understanding of complex systems in different domains such as energy [15], health [16], food [17], transport [18] or markets [19]. For instance, in case of markets, developing such virtual laboratories enables testing of different regulatory and market structures, e.g.…”

Section: Agent-based Modelling (Abm) For Policy Packagingmentioning

confidence: 99%

Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation

Taeihagh

Bañares‐Alcántara

2014

2014 47th Hawaii International Conference on System Sciences

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One of the approaches gaining ground in policy design is the implementation of combinations of policy measures as policy packages with the aim of increasing efficiency and effectiveness of the designed policies. In this paper, we describe the recent advancements in the developments of a virtual environment for the exploration and analysis of policy packages. The virtual environment uses an agent-based modelling approach for the generation of different configurations of policy measures in the policy packages. The benefit of using the approach is the proactive and flexible generation of policy packages as the agents can react to the changes that occur and create packages that are more robust. The system allows faster examination of more alternatives, further exploration of the design space, and testing the effects of changes and uncertainties while formulating policies. The results demonstrate the benefit of using agent-based modelling approaches in the design of complex policies.

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Section: Agent-based Modelling (Abm) For Policy Packagingmentioning

confidence: 99%