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Robotics 2015, 4(2), 169-193; doi:10.3390/robotics4020169

How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent

1
Laboratory of Synthetic Perceptive, Emotive and Cognitive Systems (SPECS), Center of Autonomous Systems and Neurorobotics, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain
2
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis 138632, Singapore
3
Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Llúıs Companys 23, Barcelona 08010, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Nicola Bellotto, Nick Hawes, Mohan Sridharan and Daniele Nardi
Received: 28 February 2015 / Accepted: 8 May 2015 / Published: 10 June 2015
(This article belongs to the Special Issue Representations and Reasoning for Robotics)
View Full-Text   |   Download PDF [1300 KB, uploaded 10 June 2015]   |  

Abstract

Robotic agents are spreading, incarnated as embodied entities, exploring the tangible world and interacting with us, or as virtual agents crawling over the web, parsing and generating data. In both cases, they require: (i) processes to acquire information; (ii) structures to model and store information as usable knowledge; (iii) reasoning systems to interpret the information; and (iv) finally, ways to express their interpretations. The H5W (How, Why, What, Where, When, Who) framework is a conceptualization of the problems faced by any agent situated in a social environment, which has defined several robotic studies. We introduce the H5W framework, through a description of its underlying neuroscience and the psychological considerations it embodies, we then demonstrate a specific implementation of the framework. We will focus on the motivation and implication of the pragmatic decisions we have taken. We report the numerous studies that have relied upon this technical implementation as a proof of its robustness and polyvalence; moreover, we conduct an additional validation of its applicability to the natural language domain by designing an information exchange task as a benchmark. View Full-Text
Keywords: knowledge representation; human robot interaction; communication; natural language processing; perception action loop; artificial cognitive architecture knowledge representation; human robot interaction; communication; natural language processing; perception action loop; artificial cognitive architecture
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lallee, S.; Verschure, P.F. How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent. Robotics 2015, 4, 169-193.

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