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Authors: Carsten Elfers and Thomas Wagner

Affiliation: Center for Computing and Communication Technologies, Germany

Keyword(s): Hidden Markov model, Relational Markov model, Machine learning, Multi agent system, RoboCup.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Soft Computing ; Software Engineering ; Symbolic Systems ; Uncertainty in AI

Abstract: In this paper we show a novel method on how the well-established hidden markov model and the relational markov model can be combined to the relational hidden markov model to solve currently unrecognized challenging problems of the original models. Our presented methods allows for prediction on different granularity level depending on the validity of the underlying observations. We demonstrate the use of this new method based on a spatio-temporal qualitative representation and validate the approach in the RoboCupSoccer multiagent environment.

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Paper citation in several formats:
Elfers, C. and Wagner, T. (2010). LEARNING AND PREDICTION BASED ON A RELATIONAL HIDDEN MARKOV MODEL. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-674-021-4; ISSN 2184-433X, SciTePress, pages 211-216. DOI: 10.5220/0002703202110216

@conference{icaart10,
author={Carsten Elfers. and Thomas Wagner.},
title={LEARNING AND PREDICTION BASED ON A RELATIONAL HIDDEN MARKOV MODEL},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2010},
pages={211-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002703202110216},
isbn={978-989-674-021-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - LEARNING AND PREDICTION BASED ON A RELATIONAL HIDDEN MARKOV MODEL
SN - 978-989-674-021-4
IS - 2184-433X
AU - Elfers, C.
AU - Wagner, T.
PY - 2010
SP - 211
EP - 216
DO - 10.5220/0002703202110216
PB - SciTePress

- Science and Technology Publications, Lda.
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