Tagungsbeiträge
Learning about Human Personality
Autor | Sebastian Ahrndt, Sahin Albayrak | |
Quelle | 15th German Conference on Multiagent System Technologies (MATES 2017) | |
Links | BibTeX | |
This work approaches the question whether or not agents are able to learn the personality of a human during interaction. We develop two agent-models to learn about the personality of humans during repeatedly played rounds in the Colored Trails Game. Human personality is described using a psychological theory of personality traits known as the Five-Factor Model. The results show that some characteristics of a personality can be learned more accurately and easily than others. The work extends the state-of-the-art in that it does not follow a supervised learning approach requiring existing data sets. |