A bioinspired model for the generation of a motivational state from energy homeostasis

Appetitive motivation is a process inherent to human beings, which stimulates behaviors directed at searching, pursuing, and achieving specific objectives based on a set of impulses. Consequently, the motivational process has been considered part of the control system in some cognitive architectures because it can influence the execution of goal-directed behaviors of different kinds. Different motivational computational systems integrate physiological needs and environmental conditions to produce human-like behavior in artificial agents. However, these motivational computational systems limit abstract properties defining a motivational state; consequently, the adaptability characterizing motivated human behavior does not arise. In this research line, this article proposes a bioinspired model for generating the motivational state from the physiological condition, capable of triggering processes involved in developing appetitive behavior. The proposed system incorporates bloodstream and viscerosensory biomarkers to represent a motivational state of hunger regulated by energy homeostasis or balance control. The proposed model is based on neuroscientific studies and implemented under a distributed paradigm emulating the way it happens in living beings. The validation of the proposed model's functioning uses study cases comparing the proposal's results with neuroscientific evidence.

Automated summary

This article proposes a bioinspired model for generating the motivational state from the physiological condition, capable of triggering processes involved in developing appetitive behavior. The model is based on neuroscientific studies and implemented under a distributed paradigm emulating the way it happens in living beings. The validation of the proposed model's functioning uses study cases comparing the proposal's results with neuroscientific evidence.