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An Automatic System for Learning and Dialogue Based on Assertions

Capitolo di libro
Data di Pubblicazione:
2019
Abstract:
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.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Learning; Robotics; Knowledge base; Conversational agent
Elenco autori:
Storniolo, Pietro; Maniscalco, Umberto; Messina, Antonio
Autori di Ateneo:
MANISCALCO UMBERTO
MESSINA ANTONIO
STORNIOLO PIETRO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/365737
Titolo del libro:
Biologically Inspired Cognitive Architectures 2019
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
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URL

https://link.springer.com/chapter/10.1007/978-3-030-25719-4_44
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