Multiagent system based on genetic access matrix analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Tetsuya Morizumi and Kazuhiro Suzuki and 
                 Masato Noto and Hirotsugu Kinoshita",
  title =        "Multiagent system based on genetic access matrix
  journal =      "International Journal of Electronic Commerce Studies",
  year =         "2012",
  volume =       "3",
  number =       "2",
  pages =        "305--324",
  note =         "used first name--surname author ordering",
  keywords =     "genetic algorithms, genetic programming, Access
                 Control, Multiagent Systems, Swarm Intelligence, PSO,
                 Ethical Aspect",
  publisher =    "Academy of Taiwan Information Systems Research",
  ISSN =         "20739729",
  bibsource =    "OAI-PMH server at",
  oai =          "oai:doaj-articles:c348a91916058d8dac9becb5f60f55d1",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.7903/ijecs.1098",
  size =         "20 pages",
  abstract =     "How should an individual contribute to the public
                 good? Conversely, how does the public help the
                 individual? We should analyse and alleviate conflicts
                 in community clouds. Covert channels in the access
                 matrix are caused by conflicts between public values
                 and a private sense of values. We cannot control the
                 information leaks from the covert channels by using
                 only access control. We believe that the community
                 cloud system should emphasise harmony between public
                 values and a private sense of values. We interpret the
                 access matrix as follows: The acts of the individual
                 are generalised and symbolised by an access matrix that
                 describes the access operations of the subject. We
                 propose a multiagent system embodying the concept of
                 swarm intelligence to analyse the covert channels that
                 arise. Each agent has a group target and an individual
                 target. The group target and an individual target
                 include targets for generation of access and
                 restriction of access. The system does not have any
                 principle of universal control. Instead, an agent{'}s
                 interactions are guided by metaheuristics for achieving
                 targets. The social order of the whole society is made
                 from the agents' interactions related to the group
                 value target, group game target, an individual value
                 target, and an individual game target. The conceptual
                 framework and multiagent system presented here are
                 intended to support people. If the covert channel
                 problem can be solved, it will become possible for
                 people to use community clouds safely.",

Genetic Programming entries for Tetsuya Morizumi Kazuhiro Suzuki Masato Noto Hirotsugu Kinoshita