Human, Soheil, Peschl, Markus, Bidabadi, Golnaz, Savenkov, Vadim. 2018. An Enactive Theory of Need Satisfaction. In PT-AI 2017: Philosophy and Theory of Artificial Intelligence 2017, Hrsg. Vincent C. Müller, 40-42. Leeds: Springer.
BibTeX
Abstract
In this paper, based on the predictive processing approach to cognition, an enactive theory of need satisfaction is discussed. The theory can be seen as a first step towards a computational cognitive model of need satisfaction.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | An Enactive Theory of Need Satisfaction |
Title of whole publication | PT-AI 2017: Philosophy and Theory of Artificial Intelligence 2017 |
Editor | Vincent C. Müller |
Page from | 40 |
Page to | 42 |
Location | Leeds |
Publisher | Springer |
Year | 2018 |
ISBN | 978-3-319-96448-5 |
Open Access | N |
Associations
- Projects
- Open Data for Local Communities
- Incentivising Open Data Exploration through Needs Management
- People
- Human, Soheil (Details)
- Savenkov, Vadim (Former researcher)
- External
- Bidabadi, Golnaz (Department of Computer Engineering, San Jose ́ State University, San Jose ́, United States/USA)
- Peschl, Markus (Cognitive Science Research Platform & Department of Philosophy, University of Vienna, Vienna, Austria)
- Organization
- Institute for Data, Process and Knowledge Management (AE Polleres) (Details)