Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits.
Matthew D. Egbert, Xabier E. Barandiaran
Front Neurorobot December 21, 2022 DOI: 10.3389/fnbot.2022.847054 via PubMed Central
Summary
AI-generated from the abstractThe work argues that enactive robotics, which models how organisms interact with their environment through sensorimotor contingencies, can help understand how autonomous habits emerge beyond simple problem-solving frameworks. It proposes that the constraints imposed by sensorimotor contingencies shape the forms these habits take, leading to behaviors that are not merely goal-directed but arise from the dynamic interaction between agent and environment. This perspective challenges traditional cognitive science views that focus solely on internal representations and problem-solving, offering a broader account of autonomous agency and learning.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key finding | Sensorimotor contingencies constrain the emergence of autonomous habits, enabling behaviors that go beyond problem-solving. |
Abstract
Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits.