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Team D – Roadmap Agent Programming Framework

Students:

  • Aditya Caprihan
  • Agus Sunyoto
  • Burcu Erdem
  • Chi Chung Chan
  • Chun-Hsu Su
  • Alex Columbus
  • Dan Morrison
  • Darryl Perera
  • Daly Rui
  • Irene Suryadi
  • Johan Nalliah
  • Michael Sheeran
  • Thanh Tran
  • Vincent Wong
  • Xue Qin

Supervisor: Steele Griffiths

The aim of the roadmap project is to provide a platform that supports agent oriented software developed using the ROADMAP methodology. At present, developers can analyze and design their application using the ROADMAP methodology but cannot implement the design easily due to the lack of any framework/platform support. This project aims to solve that problem by providing full support for all the key constructs of the Roadmap methodology in a coherent consistent manner. Another goal of this project is to minimize the amount of code that a developer has to write to implement a ROADMAP based solution and instead rely on XML files to provide the platform with the necessary metadata to run the application.

The ROADMAP platform removes the traditional notion of applications and instead introduces a set of environments. Software agents can move between such environments, collecting and sharing knowledge as they travel. The system also exhibits a great deal of dynamic behavior thereby making it ideal for the creation of complex, open, adaptive knowledge based systems that are well suited for areas like home automation (a.k.a smart homes).

Team D