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Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability

Includes bibliographical references (pages. 379-400).

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Main Author: Peter, Camaren
Other Authors: April, Kurt
Format: Thesis
Language:English
Published: GSB: Faculty 2016
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access_status_str Open Access
author Peter, Camaren
author2 April, Kurt
author_browse April, Kurt
Peter, Camaren
author_facet April, Kurt
Peter, Camaren
author_sort Peter, Camaren
collection Thesis
description Includes bibliographical references (pages. 379-400).
format Thesis
id oai:open.uct.ac.za:11427/18284
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:00.945Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher GSB: Faculty
publisherStr GSB: Faculty
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/18284 Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability Peter, Camaren April, Kurt Potgieter, Anet Desicion analysis Bayesian networks Includes bibliographical references (pages. 379-400). This dissertation responds to the need for integration between researchers and decision-makers who are dealing with complex social-ecological system sustainability and decision-making challenges. To this end, we propose a new approach, called Bayesian Participatory-based Decision Analysis (BPDA), which makes use of graphical causal maps and Bayesian networks to facilitate integration at the appropriate scales and levels of descriptions. The BPDA approach is not a predictive approach, but rather, caters for a wide range of future scenarios in anticipation of the need to adapt to unforeseeable changes as they occur. We argue that the graphical causal models and Bayesian networks constitute an evolutionary, adaptive formalism for integrating research and decision-making for sustainable development. The approach was implemented in a number of different interdisciplinary case studies that were concerned with social-ecological system scale challenges and problems, culminating in a study where the approach was implemented with decision-makers in Government. This dissertation introduces the BPDA approach, and shows how the approach helps identify critical cross-scale and cross-sector linkages and sensitivities, and addresses critical requirements for understanding system resilience and adaptive capacity. 2016-03-28T14:35:26Z 2016-03-28T14:35:26Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/18284 eng application/pdf GSB: Faculty Unknown University of Cape Town
spellingShingle Desicion analysis
Bayesian networks
Peter, Camaren
Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
thesis_degree_str Doctoral
title Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
title_full Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
title_fullStr Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
title_full_unstemmed Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
title_short Bayesian participatory-based decision analysis : an evolutionary, adaptive formalism for integrated analysis of complex challenges to social-ecological system sustainability
title_sort bayesian participatory based decision analysis an evolutionary adaptive formalism for integrated analysis of complex challenges to social ecological system sustainability
topic Desicion analysis
Bayesian networks
url http://hdl.handle.net/11427/18284
work_keys_str_mv AT petercamaren bayesianparticipatorybaseddecisionanalysisanevolutionaryadaptiveformalismforintegratedanalysisofcomplexchallengestosocialecologicalsystemsustainability