Computational Intelligence for Technology Enhanced Learning

Volume 273 of the series Studies in Computational Intelligence pp 59-77

Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor

  • Soumya BanerjeeAffiliated withDepartment of Computer Science and Engineering, Birla Institute of Technology, International Center
  • , Monica ChisAffiliated withSiemens Program and System Engineering (Siemens PSE)
  • , G. S. DangayachAffiliated withDepartment of Mechanical Engineering, Malviya National Institute of Technology

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Automation in learning process is one of the major technical breakthroughs in machine learning paradigm. A substantial boost in adaptive learning has been initiated by simple steps of bio-inspired algorithm to learn the collective pattern of tourist service environment. This chapter is devoted on a live project implementation and testing of a learning model prototype in tourist information system and service industry. The elaborated model is followed by result sessions, which demonstrate that artificial agents could mimic the collective service and product pattern effectively compared to other contemporary techniques. The cost optimization to address the service issues in tourism industry could also be achieved with the help of such prototype models.