AI Strategy and Concepts Bibliography
AI Strategy and Concepts Bibliography |
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Pari`es, J. (2017). Recognizing complexity in risk management: The challenge of the improbable. In The Illusion of Risk Control (pp. 41–55).Springer, Cham. Added by: SijanLibrarian (2021-07-26 11:35:14) Last edited by: SijanLibrarian (2021-07-26 12:15:48) |
| Resource type: Book Article BibTeX citation key: Paries2017 Email resource to friend View all bibliographic details  |
Categories: Biological Science, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, Engineering, General, Mathematics, Military Science Subcategories: Chaos theory, Cognitive Electronic Warfare, Command and control, Decision making, Forecasting, Human decisionmaking, Human factors engineering, Military research, Networked forces, Strategy, Systems theory Creators: Pari`es Publisher: Springer, Cham Collection: The Illusion of Risk Control |
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| Abstract |
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In the prevailing safety management paradigm, uncertainty is the enemy, and we seek to eradicate it through anticipation and predetermination. But this strat- egy generates “robust yet brittle” systems, unable to handle disturbances outside their envelope of designed-for contingencies. A paradigm shift is needed. We are immersed in uncertainty. We live with it, we have evolved with it as living beings, our cognitive and social skills have developed to handle the associated unpredictabil- ity. Managing uncertainty is the way we deal with the world’s complexity with our limited resources. We need to better understand these abilities and augment their power in order to better engineer resilience into our systems. |