The Regulatory Character of Boredom in AI - Towards a Self-Regulating System based on Spiking Neural Networks

Boredom is increasingly recognized as a functional emotion playing an important role in regulating human behavior.Despite continuous advances in the field of artificial intelligence, research on whether these models can enter emotional states such as boredom remains limited.However, emotions can be pivotal towards more human-like intelligence in AI.This paper transfers the regulatory function of boredom into a control loop modeled with spiking neural networks.Simulations demonstrate the successful replication of the regulatory mechanism of boredom based on simulated input.This work provides a foundation for future research and development towards a self-regulating system based on spiking neural networks capable of entering a state of boredom.