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Utility maximization and catasphore aversion: A simulation test
Authors:Robert U Ayres  Manalur S Sandilya
Institution:1. Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;2. Nanotechnology Research Centre, Sultan Qaboos University, PO Box 17, PC 123, SQU, Al-Khoudh, Oman;3. Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research (ISI-SIR), Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor Bahru, Malaysia;4. Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;5. Department of Petroleum and Chemical Engineering, College of Engineering, Sultan Qaboos University, PO Box 33, PC 123, SQU, A-Khoudh, Oman;6. Department of Chemical Engineering, Universiti Teknologi Petronas, Ipoh, Malaysia;1. Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran;2. Department of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran;3. Department of Chemical & Petroleum Engineering, University of Calgary, Calgary, AB 2N 1N4, Canada;4. Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran;5. Energy Research Center, Amirkabir University of Technology, Tehran, Iran;1. Michigan State University, United States;2. Duke-Kunshan University, China
Abstract:Economists have proved that the exclusion of the effects of irreversibility from a decision-making framework is a specification error which leads to sub-optimal solutions. Consequently, in any cost-benefit framework, the effects of an irreversibility are included in the form of an option value. Unfortunately, in the real world, there exist certain potential irreversibilities that jeopardize the very existence of the decision-making entity, were they to occur. We demonstrate that if the effects of such irreversibilities are modeled in terms of a finite option value (in cost-benefit analysis) then the optimal solutions derived therefrom may be unable to avert a potential catastrophe. In theory, an infinite option value should lead to catastrophe-averting decisions in such situations. However, in practice, such mathematical formulations tend to be intractable. In many situations, irreversible catastrophes proceed from a positive reinforcement of fluctuations in system behavior, primarily due to sympathetic responses in sub-systems. Engineers have designed relatively low-cost methods to dampen similar oscillations in physical systems. We demonstrate how such engineering type analysis can be used successfully to identify catastrophe-averting policies for a model ecosystem that faces irreversible famine that must be avoided as a precondition for survival.
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