Finding shared decisions in stakeholder networks: an agent-based approach
arXiv:1604.05600 · doi:10.1016/j.physa.2016.09.015
Abstract
We address the problem of a participatory decision-making process where a shared priority list of alternatives has to be obtained while avoiding inconsistent decisions. An agent-based model (ABM) is proposed to mimic this process in different social networks of stakeholders who interact according to an opinion dynamics model. Simulations' results show the efficacy of interaction in finding a transitive and, above all, shared decision. These findings are in agreement with real participation experiences regarding transport planning decisions and can give useful suggestions on how to plan an effective participation process for sustainable policy-making based on opinion consensus.
arXiv comment17 pages, 8 figures, 1 table
References in corpus (7)
- Emergence of scaling in random networks
- Statistical physics of social dynamics
- Opinion evolution in closed community
- Minority Opinion Spreading in Random Geometry
- A statistical mechanics model for the emergence of consensus
- Nature and statistics of majority rankings in a dynamical model of preference aggregation
- Modelling consensus building in Delphi practices for participated transport planning