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Authors: Andrej Gardoň and Aleš Horák

Affiliation: Masaryk University, Czech Republic

Keyword(s): Artificial Intelligence, Watson, True Knowledge, AURA, Dolphin-Nick, Transparent Intensional Logic, GuessME!, Mind Theory, Mind Axioms.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems

Abstract: This paper discusses three up-to-date Artificial Intelligence (AI) projects focusing on the question-answering problem – Watson, Aura and True Knowledge. Besides a quick introduction to the architecture of systems, we show examples revealing their shortages. The goal of the discussion is the necessity of a module that acquires knowledge in a meaningful way and isolation of the Mind from natural language. We introduce an idea of the GuessME! system that, by a playing simple game, deepens its own knowledge and brings new light to the question-answering problem.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gardoň, A. and Horák, A. (2012). TOWARDS AN INTELLIGENT QUESTION-ANSWERING SYSTEM - State-of-the-art in the Artificial Mind. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-95-9; ISSN 2184-433X, SciTePress, pages 406-412. DOI: 10.5220/0003831504060412

@conference{icaart12,
author={Andrej Gardoň. and Aleš Horák.},
title={TOWARDS AN INTELLIGENT QUESTION-ANSWERING SYSTEM - State-of-the-art in the Artificial Mind},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2012},
pages={406-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003831504060412},
isbn={978-989-8425-95-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - TOWARDS AN INTELLIGENT QUESTION-ANSWERING SYSTEM - State-of-the-art in the Artificial Mind
SN - 978-989-8425-95-9
IS - 2184-433X
AU - Gardoň, A.
AU - Horák, A.
PY - 2012
SP - 406
EP - 412
DO - 10.5220/0003831504060412
PB - SciTePress