Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism [article]

Carlos Gershenson, Pedro Pablo Gonzalez
2002 arXiv   pre-print
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.
arXiv:cs/0211038v1 fatcat:gajx6kbskbejdpqttyyddamobm