Evolving Classification of Agents' Behaviours: A General Approach. Evolving Systems Articles uri icon

publication date

  • October 2010

start page

  • 161

end page

  • 171

issue

  • 3

volume

  • 1

international standard serial number (ISSN)

  • 1868-6478

electronic international standard serial number (EISSN)

  • 1868-6486

abstract

  • By recognizing the behavior of others, many different tasks can be performed, such as to predict their future behavior, to coordinate with them or to assist them. If this behavior recognition can be done
    automatically, it can be very useful in many applications. However, an
    agents behavior is not necessarily fixed but rather it evolves/changes.
    Thus, it is essential to take into account these changes in any behavior
    recognition system. In this paper, we present a general approach to the
    classification of streaming data which represent a specific agent
    behavior based on evolving systems. The experiment results show that an
    evolving system based on our approach can efficiently model and
    recognize different behaviors in very different domains, in particular,
    UNIX command-line data streams, and intelligent home environments.