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Open AccessArticle

An Analytical Game for Knowledge Acquisition for Maritime Behavioral Analysis Systems

1
Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department, University of Genoa, 16145 Genoa, Italy
2
NATO STO Centre for Maritime Research and Experimentation, 19126 La Spezia, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(2), 591; https://doi.org/10.3390/app10020591
Received: 15 November 2019 / Revised: 3 January 2020 / Accepted: 6 January 2020 / Published: 14 January 2020
(This article belongs to the Section Computing and Artificial Intelligence)
The use of Bayesian networks for behavioral analysis is gaining attention. The design of such algorithms often makes use of expert knowledge. The knowledge is collected and organized during the knowledge acquisition design task. In this paper, we discuss how analytical games can be exploited as knowledge acquisition techniques in order to collect information useful to intelligent systems design. More specifically, we introduce a recently developed method, called the MARISA (MARItime Surveillance knowledge Acquisition) Game. The aim of this game is to ease the elicitation from domain experts of a considerable amount of conditional probabilities to be encoded into a maritime behavioral analysis service based on a multi-source dynamic Bayesian network. The game has been deployed in two experiments. The main objectives of such experiments are the validation of the network structure, the acquisition of the conditional probabilities for the network, and the overall validation of the game method. The results of the experiment show that the objectives have been met and that the MARISA Game proved to be an effective and efficient approach. View Full-Text
Keywords: analytical game; simulation game; knowledge acquisition; information systems; knowledge-base; knowledge engineering; Maritime; behavioral analysis; multi-source; dynamic bayesian network analytical game; simulation game; knowledge acquisition; information systems; knowledge-base; knowledge engineering; Maritime; behavioral analysis; multi-source; dynamic bayesian network
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MDPI and ACS Style

de Rosa, F.; De Gloria, A. An Analytical Game for Knowledge Acquisition for Maritime Behavioral Analysis Systems. Appl. Sci. 2020, 10, 591.

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