Abstract
In this paper, we propose to enrich standard agent-based social simulation for policy-making with affordances inspired by second-order emergent social phenomena. Namely, we explore the inclusion of agents who have means to perceive, aggregate and respond to emergent collective outcomes, for example by promoting some reaction in other agents. These enhancements are intended for a subclass of socio-cognitive technical systems that we call value-driven policy-making systems. We motivate and illustrate our proposal with a model of policy shift advocacy in urban water management.
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Acknowledgement
The first and third authors are supported with the industrial doctoral grants 2016DI043 and 2016DI042, respectively, which are provided by the Catalan Secretariat for Universities and Research (AGAUR). This research has been supported by the CIMBVAL project (Spanish government, project # TIN2017-89758-R).
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Perello-Moragues, A., Noriega, P., Popartan, L.A., Poch, M. (2020). Modelling Policy Shift Advocacy. In: Paolucci, M., Sichman, J.S., Verhagen, H. (eds) Multi-Agent-Based Simulation XX. MABS 2019. Lecture Notes in Computer Science(), vol 12025. Springer, Cham. https://doi.org/10.1007/978-3-030-60843-9_5
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DOI: https://doi.org/10.1007/978-3-030-60843-9_5
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