by Keyword: Behavior-based
Guerrero-Rosado O, Verschure P, (2021). Robot regulatory behaviour based on fundamental homeostatic and allostatic principles Procedia Computer Science 190, 292-300 
Animals in their ecological context behave not only in response to external events, such as opportunities and threats but also according to their internal needs. As a result, the survival of the organism is achieved through regulatory behaviour. Although homeostatic and allostatic principles play an important role in such behaviour, how an animal's brain implements these principles is not fully understood yet. In this paper, we propose a new model of regulatory behaviour inspired by the functioning of the medial Reticular Formation (mRF). This structure is spread throughout the brainstem and has shown generalized Central Nervous System (CNS) arousal control and fundamental action-selection properties. We propose that a model based on the mRF allows the flexibility needed to be implemented in diverse domains, while it would allow integration of other components such as place cells to enrich the agent's performance. Such a model will be implemented in a mobile robot that will navigate replicating the behaviour of the sand-diving lizard, a benchmark for regulatory behaviour. © 2020 Elsevier B.V.. All rights reserved.
JTD Keywords: Action selection, Allostasi, Allostasis, Animal brain, Animals, Behavior-based, Brainstem, Central nervous systems, Cognitive architecture, Cognitive architectures, Elsevier, Homeostasis, Homoeostasis, Magnetorheological fluids, Regulatory behavior, Regulatory behaviour, Reticular formation, Robots