Editorial: Bio A.I. - from embodied cognition to enactive robotics.
Adam Safron, Inês Hipólito, Andy Clark
Frontiers in Neurorobotics November 14, 2023 DOI: 10.3389/fnbot.2023.1301993 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Peer reviewed |
|---|---|
| Keywords | Robotics Dynamical systems Embodiment Active learning Representation Enactivism Artificial general intelligence E-cognition |
| Citations | 2 |
Abstract
If we consider the kinds of intelligence generated by brain-body-environment systems, then such emergent minds may be vaster still in terms of their complex combinatorics, with the pinnacle of expressive power potentially being found in language with its “infinite use of finite means”. The field of artificial intelligence and machine learning (AI/ML) seeks to reproduce the powers of biological learners, where we struggle to recapitulate the ways in which even supposedly simple animals demonstrate the ability to respond flexibly to a wide range of situations.
Citations in the library
Cites 8
- Thinking through other minds: A variational approach to cognition and culture. Behavioral and Brain Sciences May 30, 2019
- The Hidden Spring, a Journey to the Source of Consciousness Psychoanalysis October 20, 2022
- The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition Frontiers in Robotics and AI March 8, 2018
- The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again. Entropy (Basel, Switzerland) June 20, 2021
- Integrated world modeling theory expanded: Implications for the future of consciousness. Frontiers in Computational Neuroscience November 24, 2022
and 3 more in the library