Abstract
Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) technique that has gained huge attention over the last few years. It solves target problems based on the successful solutions of similar past issues or by adapting solutions of previous problems retained in a case-base. Therefore, this paper complements prior studies in CBR for regional policy towards sustainable development and provides knowledge to aid the transformation of regions. Accordingly, a CBR approach is developed to facilitate decision making of regional council and experts towards sustainable development by considering the dimensions for sustainability of regions. Findings from this study suggest that CBR can effectively support the actualization of sustainability goals of regions. More importantly, findings indicate that CBR approach enables decision makers to identify key strategies that influence sustainable regional management and aid in improving the formulation of policies to make regions more sustainable. Moreover, this study helps provide practitioners and researchers with a comprehensive understanding of the development of CBR and its implications for future regional policy studies.
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Anthony, B. (2022). Employing Case-Based Reasoning to Provide Knowledge for Sustainable Regional Development. In: Laurini, R., Nijkamp, P., Kourtit, K., Bouzouina, L. (eds) Knowledge Management for Regional Policymaking. Springer, Cham. https://doi.org/10.1007/978-3-031-15648-9_3
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