Habit analysis : using decision analysis to take control of habits
Abstract/Contents
- Abstract
- Every person has hundreds and thousands of habits that they rarely think about having. Every time a person exercises a habit, they automatically choose a course of action. Every time that choice is made is an opportunity to apply decision analysis. However, normal decision analysis is too costly to use for all of a person's habits. In this dissertation I look at ways that decision analysis can be applied to a person's habits to ensure they are good ones. If they are not, they must be updated to match an ever-changing environment, new information, and preferences that evolve over time. Expanding decision analysis to include the numerous tiny decisions that are made with habits opens up the opportunity for massive gains in value when each tiny improvement is aggregated over many habits and a lifetime of use.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Martin, Philip |
|---|---|
| Degree supervisor | Howard, Ronald A. (Ronald Arthur), 1934- |
| Thesis advisor | Howard, Ronald A. (Ronald Arthur), 1934- |
| Thesis advisor | Robinson, Burke Edward |
| Thesis advisor | Shachter, Ross D |
| Degree committee member | Robinson, Burke Edward |
| Degree committee member | Shachter, Ross D |
| Associated with | Stanford University, Department of Management Science and Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Philip Martin. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Philip Lee Martin
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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