Computational modelling approaches to meditation research: why should we care?
Marieke K. van Vugt, Amir Moye, Swagath Sivakumar
Current Opinion in Psychology August 1, 2019 DOI: 10.1016/j.copsyc.2018.10.011 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Meditation |
| Key points | Argues that computational modeling can provide insights into the mechanisms by which meditation produces its effects on cognition and can help predict generalization to other contexts. |
Abstract
Computational modeling and meditation are not frequently mentioned in the same breath. However, in this article we argue that computational modeling can provide insights into the mechanisms by which meditation produces its effects on cognition. Moreover, computational modeling allows the researcher to make predictions about how effects of meditation will generalize to other contexts such as other tasks, which can be tested in subsequent experiments. In addition, computational theories can help to clarify similarities and differences between meditation practices, which is crucial for mapping out the space of contemplative practices. In short, even though computational modeling has not yet been used extensively, we think this approach can make important contributions to the field of meditation research.