Regulated Information Sharing and Pattern Recognition for Smart Cities

John Kingston

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

This paper describes applications of BOBBIN, a multi-agent system based on a blackboard architecture, to supporting smart cities through regulated information sharing and pattern recognition. The first application uses the knowledge-based pro-cessing provided by a blackboard system to ensure that personal information is made available to all and only those who are entitled to see it, thus overcoming the objections raised by the UK Supreme Court to a recently proposed information sharing scheme. The second application extends the first to enable pattern recognition over appropriately regulated information about individuals, with the goal of identifying criminal offences and other patterns of behaviour. The final application extends the second to deal with heterogeneous agents, public and private. Each application is illustrated with a scenario.

These three approaches can provide benefits in supporting the growth of intelligent public services and appropriate information sharing within a smart city.
Original languageEnglish
Title of host publicationArtificial Intelligence XXXV
Subtitle of host publication38th SGAI International Conference on Artificial Intelligence, AI 2018
EditorsMax Bramer, Miltos Petridis
Place of PublicationCambridge
PublisherSpringer
Pages403-415
Volume11311
ISBN (Electronic)9783030041915
ISBN (Print)9783030041908
DOIs
Publication statusPublished - 16 Nov 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Print)0302-9743

Bibliographical note

“The final authenticated version is
available online at https://doi.org/10.1007/978-3-030-04191-5_33

Keywords

  • Regulated Information
  • Smart Cities
  • Pattern Recognition
  • Black-board Systems

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  • Cite this

    Kingston, J. (2018). Regulated Information Sharing and Pattern Recognition for Smart Cities. In M. Bramer, & M. Petridis (Eds.), Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018 (Vol. 11311, pp. 403-415). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-030-04191-5_33