Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism
<|reference_start|>Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism: This paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. The learning takes place in the modification of a parameter of the model of combination of internal and external stimuli. Experiments that show the claimed properties are presented, using a VR simulation developed for such purposes. The importance of adaptation by learning in action selection is also discussed.<|reference_end|>
@article{gershenson2002dynamic,
    title={Dynamic Adjustment of the Motivation Degree in an Action Selection
  Mechanism},
    author={Carlos Gershenson, Pedro Pablo Gonzalez},
    journal={arXiv preprint arXiv:cs/0211038},
    year={2002},
    archivePrefix={arXiv},
    eprint={cs/0211038},
    primaryClass={cs.AI}
}