Choice Computing: Machine Learning and Systemic Economics for Choosing
| 主要作者: | |
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| 企業作者: | |
| 總結: | XXV, 235 p. 78 illus., 76 illus. in color. text |
| 語言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
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| 版: | 1st ed. 2022. |
| 叢編: | Intelligent Systems Reference Library,
225 |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-981-19-4059-0 |
| 格式: | 電子 圖書 |
書本目錄:
- Introduction
- Decoding Choosing
- ML of Choosing: Architecting Intelligent Choice Framework
- Machine Learning of Choice Economics
- Co-operative Choosing: Machines and Humans Thinking Together to Choose the Right Way
- Choice Architecture – Machine Learning Framework
- Artificial Consciousness and Choosing (Towards Conscious Choice Machines)
- Choice Computing and Creativity
- Experimental Choice Computing and Choice Learning Through Real-Life Stories
- Beyond Choice Computing.