Why Prognostic Systems Analysis Has To Change - Learning from the Past Tells How

Kryazhimskiy, A.V. & Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145 (2012). Why Prognostic Systems Analysis Has To Change - Learning from the Past Tells How. Poster presentation, IIASA 40th Anniversary Conference, 24-26 October 2012, Laxenburg and Vienna, Austria

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Abstract

Prognostic systems analysis is widely applied to generate "sharp" projections into the future. However, prognostic scenarios and "sharp" futures are a physical impossibility!

The key questions arising are (1) whether it is possible to determine the Heisenberg-like relation of a model; and (2) whether it is even possible to determine the model's characteristic unsharpness regime by learning from the past?

Item Type:	Other
Research Programs:	Advanced Systems Analysis (ASA) Ecosystems Services and Management (ESM)
Bibliographic Reference:	Poster presentation, IIASA 40th Anniversary Conference, 24-26 October 2012, Laxenburg and Vienna, Austria
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:47
Last Modified:	27 Aug 2021 17:22
URI:	https://pure.iiasa.ac.at/10105

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