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2 - Policy Prioritisation, Complexity, and Agent Computing

from Part I - A Complexity Approach to Sustainable Development

Published online by Cambridge University Press:  04 January 2024

Omar A. Guerrero  and
Gonzalo Castañeda
Omar A. Guerrero
Affiliation:
The Alan Turing Institute, London
Gonzalo Castañeda
Affiliation:
Centro de Investigación y Docencia Económicas
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Summary

This chapter formulates an analytical toolkit that incorporates an intricate – yet realistic – chain of causal mechanisms to explain the expenditure–development relationship. First, we explain several reasons why we take a complexity perspective for modelling the expenditure–development link and why we choose agent-based modelling as a suitable tool for assessing policy impacts in sustainable development. Second, we introduce the concept of social mechanisms and explain how we apply them to measure the impact of budgetary allocations when systemic effects are relevant. Third, we compare different concepts of causality and explain the advantages of an account that simulates counterfactual scenarios where policy interventions are absent.

Keywords

policy prioritiescomplexityagent computingagent-based modelsgenerative causationsocial mechanismscounterfactual
Type
Chapter
Information
Complexity Economics and Sustainable Development
A Computational Framework for Policy Priority Inference
 , pp. 22 - 52
Publisher: Cambridge University Press
Print publication year: 2024

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