Hostname: page-component-6766d58669-kn6lq Total loading time: 0 Render date: 2026-05-18T09:19:03.962Z Has data issue: false hasContentIssue false

Meta-learning modeling and the role of affective-homeostatic states in human cognition

Published online by Cambridge University Press:  23 September 2024

Ignacio Cea*
Affiliation:
Faculty of Religious Sciences and Philosophy, Temuco Catholic University, Temuco, Chile icea@uct.cl https://igneocj.wixsite.com/ignacio-cea Center for Research, Innovation and Creation, Temuco Catholic University, Temuco, Chile Universidad Alberto Hurtado, Faculty of Philosophy and Humanities, Philosophy Department, Santiago, Chile
*
*Corresponding author.

Abstract

The meta-learning framework proposed by Binz et al. would gain significantly from the inclusion of affective and homeostatic elements, currently neglected in their work. These components are crucial as cognition as we know it is profoundly influenced by affective states, which arise as intricate forms of homeostatic regulation in living bodies.

Information

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable