When someone says a statement about a particular subject, we memorize the assertion and, implicitly, we can construct all the possible questions that have as a right answer to the assertion just heard. This means that, in this specific case, our learning process based on assertions subsists. When we read a book, we do nothing but learn through a succession of assertions. In this article, we present a system for automatically constructing a conversational agent, which uses only assertions to build the dialog engine. The whole architecture is based on the “Robot Operating System” (ROS), and the experiments were conducted using a humanoid robot.
CITATION STYLE
Maniscalco, U., Messina, A., & Storniolo, P. (2020). An Automatic System for Learning and Dialogue Based on Assertions. In Advances in Intelligent Systems and Computing (Vol. 948, pp. 346–351). Springer Verlag. https://doi.org/10.1007/978-3-030-25719-4_44
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