Advancing mechanistic explanations through natural and artificial embodied cognitive systems
Mougenot and Matheson propose that mechanistic models can explain behavior by describing the complex interactions among components of the brain, body, and environment as an integrated system, which aligns with embodied cognition. However, we suggest incorporating cognitive ontology theory and addressing degeneracy and neuronal reuse. We also recommend studying natural embodied cognition through artificial systems to develop a comprehensive mechanistic framework.
Authors
- Juan F. Cardona (ORCID: https://orcid.org/0000-0001-6795-7753)
- Francisco Cruz (ORCID: https://orcid.org/0000-0002-1131-3382)
- Alejandra Ciria (ORCID: https://orcid.org/0000-0002-9216-9297)
- Julián Tejada (ORCID: https://orcid.org/0000-0003-0275-3578)
- Fernando Marmolejo‐Ramos (ORCID: https://orcid.org/0000-0003-4680-1287)
Institutions
- University of South Australia (AU)
- Universidade Federal de Sergipe (BR)
- UNSW Sydney (AU)
- Universidad Nacional Autónoma de México (MX)
- Universidad del Valle (CO)
Publication Details
- Journal
- Cognitive Neuroscience
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1080/17588928.2024.2403348
- Primary Topic
- Reinforcement Learning in Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00