ArticleFrontiers in neurorobotics2017
ReaCog, a Minimal Cognitive Controller Based on Recruitment of Reactive Systems.
Article in Frontiers in neurorobotics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.Journal of the Royal Society, Interface · 2025Article
- Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents.Frontiers in computational neuroscience · 2024Article
- neuroWalknet, a controller for hexapod walking allowing for context dependent behavior.PLoS computational biology · 2023Article
- Insect-Inspired Robots: Bridging Biological and Artificial Systems.Sensors (Basel, Switzerland) · 2021Review
- Integrative Biomimetics of Autonomous Hexapedal Locomotion.Frontiers in neurorobotics · 2019Article
- Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review.Frontiers in neurorobotics · 2017Review
- Walknet, a bio-inspired controller for hexapod walking.Biological cybernetics · 2013Review
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
It has often been stated that for a neuronal system to become a cognitive one, it has to be large enough. In contrast, we argue that a basic property of a cognitive system, namely the ability to plan ahead, can already be fulfilled by small neuronal systems. As a proof of concept, we propose an artificial neural network, termed reaCog, that, first, is able to deal with a specific domain of behavior (six-legged-walking). Second, we show how a minor expansion of this system enables the system to plan ahead and deploy existing behavioral elements in novel contexts in order to solve current problems. To this end, the system invents new solutions that are not possible for the reactive network. Rather these solutions result from new combinations of given memory elements. This faculty does not rely on a dedicated system being more or less independent of the reactive basis, but results from exploitation of the reactive basis by recruiting the lower-level control structures in a way that motor planning becomes possible as an internal simulation relying on internal representation being grounded in embodied experiences.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.