Case learning in CBR-based agent systems for ship collision avoidance

Yuhong Liu, Chunsheng Yang, Yubin Yang, Fuhua Lin, Xuanmin Du

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    With the rapid development of case-based reasoning (CBR) techniques, CBR has been widely applied to real-world applications such as agent-based systems for ship collision avoidance. A successful CBR-based system relies on a high-quality case base. Automated case creation technique is highly demanded. In this paper, we propose an automated case learning method for CBR-based agent systems. Building on techniques from CBR and natural language processing, we developed a method for learning cases from maritime affair records. After reviewing the developed agent-based systems for ship collision avoidance, we present the proposed framework and the experiments conducted in case generation. The experimental results show the usefulness and applicability of case learning approach for generating cases from the historic maritime affair records.

    Original languageEnglish
    Title of host publicationPrinciples of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings
    Pages542-551
    Number of pages10
    DOIs
    Publication statusPublished - 2009
    Event12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009 - Nagoya, Japan
    Duration: 14 Dec. 200916 Dec. 2009

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5925 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009
    Country/TerritoryJapan
    CityNagoya
    Period14/12/0916/12/09

    Keywords

    • Case base management/updating
    • Case learning
    • Case-based reasoning
    • Maritime affair records
    • Multi-agent system
    • Ship collision avoidance

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