Research Article
Modeling Mixed Groups of Humans and Robots with Reflexive Game Theory
@INPROCEEDINGS{10.1007/978-3-642-19385-9_14, author={Sergey Tarasenko}, title={Modeling Mixed Groups of Humans and Robots with Reflexive Game Theory}, proceedings={Human-Robot Personal Relationships. Third International Conference, HRPR 2010, Leiden, The Netherlands, June 23-24, 2010, Revised Selected Papers}, proceedings_a={HRPR}, year={2012}, month={5}, keywords={Reflexive Game Theory (RGT) Asimov’s Laws of Robotics mixed groups of humans and robots human-robot societies}, doi={10.1007/978-3-642-19385-9_14} }- Sergey Tarasenko
Year: 2012
Modeling Mixed Groups of Humans and Robots with Reflexive Game Theory
HRPR
Springer
DOI: 10.1007/978-3-642-19385-9_14
Abstract
The Reflexive Game Theory is based on decision-making principles similar to the ones used by humans. This theory considers groups of subjects and allows to predict which action from the set each subject in the group will choose. It is possible to influence subject’s decision in a way that he will make a particular choice. The purpose of this study is to illustrate how robots can refrain humans from risky actions. To determine the risky actions, the Asimov’s Three Laws of robotics are employed. By fusing the RGT’s power to convince humans on the mental level with Asimov’s Laws’ safety, we illustrate how robots in the mixed groups of humans and robots can influence on human subjects in order to refrain humans from risky actions. We suggest that this fusion has a potential to device human-like motor behaving and looking robots with the human-like decision-making algorithms.
