Choice Computing: Machine Learning and Systemic Economics for Choosing
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Περίληψη: | XXV, 235 p. 78 illus., 76 illus. in color. text |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
|
| Έκδοση: | 1st ed. 2022. |
| Σειρά: | Intelligent Systems Reference Library,
225 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-981-19-4059-0 |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
Πίνακας περιεχομένων:
- 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.