Toward aitiopoietic cognition: bridging the evolutionary divide between biological and machine-learned causal systems
We examine and compare autopoietic systems (biological organisms) and machine learning systems (MLSs) highlighting crucial differences in how causal reasoning emerges and operates. Despite superficial functional similarities in behavior and cognitive abilities, we identify profound structural differ...
Saved in:
| Main Author: | Tomas Veloz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Cognition |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcogn.2025.1618381/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Three-dimensional measurement enabled by single-layer all-in-one transmitting-receipting optical metasystem
by: Xiaoli Jing, et al.
Published: (2025-06-01) -
CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy
by: Zahra Taghados, et al.
Published: (2025-04-01) -
A comparison of methods to elicit causal structure
by: Semir Tatlidil, et al.
Published: (2025-05-01) -
A mechanism-driven failure causality modeling approach for mechanical systems combining causal ordering theory and Ishikawa diagram
by: Hui Yu, et al.
Published: (2025-07-01) -
A Magic Act in Causal Reasoning: Making Markov Violations Disappear
by: Bob Rehder
Published: (2025-05-01)