Abstract
New ideas are invariably rooted in prior concepts—very often combinations of prior concepts. And for synergistic combinations to be developed, the prior concepts often first need to be generalized or extended so that they can be flexibly recombined into something for which the whole is greater than the sum of the parts. So it is with the optimizing data-to-learning-to-action approach. In its case, it is primarily rooted in three fields of management science
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Notes
- 1.
Hammer, Michael, and James Champy, Reengineering the Corporation: A Manifesto for Business Revolution (HarperBusiness, 1993).
- 2.
Goldratt, Eliyahu, and Jeff Cox, The Goal: A Process of Ongoing Improvement (North River, 1984).
- 3.
For a comprehensive review of decision analysis, see Howard, Ronald, and Ali Abbas, Foundations of Decision Analysis (Pearson Education Ltd, 2016).
- 4.
See, for example, Bang, Dan, and Chris Frith, “Making better decisions in groups”, Royal Society Open Science, August 2017. http://rsos.royalsocietypublishing.org/content/4/8/170193
- 5.
Figure 2-1 more formally represents a probability density function. In this book, however, we simply drop the term cumulative from the term cumulative probability distribution when we want to distinguish a probability density or mass function from its associated cumulative probability distribution.
- 6.
“Two Distinct Brain Regions Have Independent Influence on Decision-Making”, Neuroscience News , September 2017, http://neurosciencenews.com/decision-making-brain-regions-7390/ .
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© 2018 Steven Flinn
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Flinn, S. (2018). Roots of a New Approach. In: Optimizing Data-to-Learning-to-Action. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3531-7_2
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DOI: https://doi.org/10.1007/978-1-4842-3531-7_2
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