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Paper

Temporal Cognitive Maps

Topics: Cognitive Systems; Knowledge-Based Systems; Ontologies

In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 58-68, 2020 , Valletta, Malta

Authors: Adrian Robert ; David Genest and Stéphane Loiseau

Affiliation: LERIA, Université d’Angers, France

Keyword(s): Cognitive Map, Ontology, Time Representation, Query Language, Semantic Model, OWL.

Abstract: A cognitive map is an oriented graph whose nodes are labeled by concepts and edges represent influences. It provides a way to model strategies or influence systems. Cognitive maps do not take into account any temporal features. This article proposes a solution to this lack: a temporal cognitive map model defined on a temporal ontology. The temporal ontology is used to represent temporal domain knowledge and to temporally characterize the concepts of the cognitive map. An extension, named TCMQL, of the cognitive map query language CMQL, is proposed in order to access the concepts’ temporality and compare them making inferences.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Robert, A.; Genest, D. and Loiseau, S. (2020). Temporal Cognitive Maps. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 58-68. DOI: 10.5220/0008937300580068

@conference{icaart20,
author={Adrian Robert. and David Genest. and Stéphane Loiseau.},
title={Temporal Cognitive Maps},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2020},
pages={58-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008937300580068},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Temporal Cognitive Maps
SN - 978-989-758-395-7
IS - 2184-433X
AU - Robert, A.
AU - Genest, D.
AU - Loiseau, S.
PY - 2020
SP - 58
EP - 68
DO - 10.5220/0008937300580068
PB - SciTePress