Affiliations: CLARITY: Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland. E-mails: {gregory.ohare, michael.j.ogrady}@ucd.ie | Intelligent Communication Lab, Department of Electronic Engineering, Queen Mary, University of London, London, UK. E-mails: {Leonid.Titkov, Stefan.Poslad}@elec.qmul.ac.uk
Note: [] Corresponding author: G.M.P. O'Hare, Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Belfield, Dublin 4, Ireland. Tel.: +353 1 7162472; Fax: +353 1 2697262; E-mail: [email protected].
Abstract: Ongoing developments in an array of mobile computing technologies have rendered the deployment of intelligent agents feasible on lightweight computational devices such as mobile phones. This development extends the Multi-Agent System (MAS) paradigm to a new frontier, opening up significant avenues of research in intelligent mobile computing, amongst others. To demonstrate the potential of this approach, the practical realization of adaptivity in two classic agent-based mobile computing applications is considered. Though focusing on the tourist domain, it is contended that the approach adopted is generalisable to a broad category of mobile computing applications.
Keywords: Adaptivity, mobile computing, intelligent agents, embedded agents, ambient intelligence
