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Book details
File Size: 2.12 MB
Format: pdf
Print Length: 201 pages
Page Numbers Source ISBN: 0198846428
Publisher: OUP Oxford (September 12, 2019)
Publication Date: September 12, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B07XGCSRSM

Overview:



A wide range of modeling paradigms are addressed and explained with detailed illustrations rather than pure mathematics, making content easier to digest
Brings material to life with illustrations of how computational models have supported important real life decisions
Provides broad coverage of systems engineering, operations research, analytics, and AI, all applied in the context of a human-centered approach
Makes a breadth of conceptual material easy to digest

Description:

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.

Table of Contents:

Introduction
Elements of Modeling
Economic Bubbles
Markets & Competitors
Technology Adoption
System Failures
Health & Well Being
Intelligent Systems
Enterprise Transformation
Exploring Possible Futures

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