Abstract—A major field of application of linguistic texts is to reflect the ordinary activities of life as well as the interpersonal relationships of people. Previous approaches of cognitive science have still not achieved a successful breakthrough. Until now the human factor has been neglected in the process. For the semantic grasp of such natural language texts a new system called Sense Machine is presented here. This system uses a psychologically based method to dismantle terms in a fashion similar to nuclear physics that dismantles an atom. The components of dismantling consist of psychological Basic Activity Elements. They build a unitary Code of Behaviors through a variety of combinations. A special Code variety corresponds to a special behavior. This Code gives the computer, the topic and the motivation of human behavior without text corpora in real time during a dialog. Longer texts can be psychologically evaluated.
Index Terms—Code of behaviors, content capture, natural language text, psychological evaluation, recognition of implied motivations in natural language.
The authors are with Sense Machine Project, Germany (e-mail: p.pfeifer@t-online.de, irpepfeifer@gmail.com).
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Cite: Peter H. Pfeifer, Julian Pfeifer, and Niko Pfeifer, "To Grasp the Meaning of Natural Language by a Code of Behaviors the Sense Machine," International Journal of Knowledge Engineering vol. 2, no. 1, pp. 1-12, 2016.
