Computing Possible Futures
Seiten
2019
Oxford University Press (Verlag)
978-0-19-884642-0 (ISBN)
Oxford University Press (Verlag)
978-0-19-884642-0 (ISBN)
Computing Possible Futures provides an easy to digest tour of modeling, simulation, analytics, and AI and how these technologies can enable better decision making.
Mathematical modelling and simulation is an increasingly powerful area of mathematics and computer science, which in recent years has been fuelled by the unprecedented access to larger than ever stores of data. These techniques have an increasing number of applications in the professional and political spheres, and people try to predict the results of certain courses of action as accurately as possible.
Computing Possible Futures explores the use of models on everyday phenomena such as waiting in lines and driving a car, before expanding the model's complexity to look at how large-scale computational models can help imagine big scale "what-if" scenarios like the effect self-driving cars on the US economy. The successes and failures of complex real world problems are examined, and it is shown how few, if any, failures are due to model errors or computational difficulties. It is also shown how real life decision makers have addressed important problems and used their model-based understanding of possible futures to inform these decisions.
Written in an entertaining and accessible way, Computing Possible Futures will help those concerned about the futurity of their decisions to understand what fundamentally needs to be done, why it needs to be done, and how to do it.
Mathematical modelling and simulation is an increasingly powerful area of mathematics and computer science, which in recent years has been fuelled by the unprecedented access to larger than ever stores of data. These techniques have an increasing number of applications in the professional and political spheres, and people try to predict the results of certain courses of action as accurately as possible.
Computing Possible Futures explores the use of models on everyday phenomena such as waiting in lines and driving a car, before expanding the model's complexity to look at how large-scale computational models can help imagine big scale "what-if" scenarios like the effect self-driving cars on the US economy. The successes and failures of complex real world problems are examined, and it is shown how few, if any, failures are due to model errors or computational difficulties. It is also shown how real life decision makers have addressed important problems and used their model-based understanding of possible futures to inform these decisions.
Written in an entertaining and accessible way, Computing Possible Futures will help those concerned about the futurity of their decisions to understand what fundamentally needs to be done, why it needs to be done, and how to do it.
William B. Rouse is Research Professor within the McCourt School of Public Policy at Georgetown University and Professor Emeritus, and former chair, of the School of Industrial and Systems Engineering at Georgia Institute of Technology. He has written many books on modelling complex systems and enterprises, technology management and innovation. He lives in Washington, DC.
1: Introduction
2: Elements of Modeling
3: Economic Bubbles
4: Markets & Competitors
5: Technology Adoption
6: System Failures
7: Health & Well Being
8: Intelligent Systems
9: Enterprise Transformation
10: Exploring Possible Futures
| Erscheinungsdatum | 09.10.2019 |
|---|---|
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 161 x 238 mm |
| Gewicht | 502 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 0-19-884642-8 / 0198846428 |
| ISBN-13 | 978-0-19-884642-0 / 9780198846420 |
| Zustand | Neuware |
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