In this paper we introduce a method for generating a set of possible reasons of an action needed by an AI program for reasoning about human behavior. We achieve this goal by using web-mining and lexicons of keywords reflecting 14 instincts categories developed by psychologist William McDougall. We describe our system, the experiment and analyze its results of 78% of correct retrievals. The paper is also meant to be a message to social scientists who might be interested in testing their theories on constantly growing group of Internet users. © 2013 Springer International Publishing.
CITATION STYLE
Rzepka, R., & Araki, K. (2013). Society as a life teacher - Automatic recognition of instincts underneath human actions by using blog corpus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8238 LNCS, pp. 370–376). https://doi.org/10.1007/978-3-319-03260-3_32
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