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Agent Group at RMIT

The Agents Group is part of the “Intelligent Systems” area within the School of Computer Science and Information Technology. The group has basically two main areas of reasearch: agent reasoning (e.g., goal reasoning, plan coordination, failure recovery, goal-plan conflict/resolution, etc.) and agent-oriented software engineering (e.g., design, testing, software methodologies & tools, automatic code generation, etc.) Besides these two main areas, staff members are involved in other related areas, such as logic and automated reasoning, computational linguistics, automated planning, machine learning, reasoning about action, etc.

Intelligent Systems are concerned with the theories and techniques for building computer systems which exhibit some form of intelligent behaviour. The area has had an active and exciting history and is now a relatively mature area of computer science.
Many of the research discoveries have reached the point of industrial application and products, and many companies have made and saved millions of dollars by exploiting the research results in this area. However, many challenging research problems remain. The two main focus areas of the group currently are intelligent agents and evolutionary programming.
There is also work in linear logic and associated areas. Research topics include agent learning, planning, complex reasoning, agent oriented software engineering, open systems, logics, evolutionary multi-objective optimisation, evolutionary algorithms, data and web mining and neural and evolutionary approaches to object recognition.

Projects & Grants



Past PhD Students:

  • Khanh Hoa Dam
    Supporting Software Evolution in Agent Systems
    Michael Winikoff and Lin Padgham
  • David Poutakidis
    Debugging Multi-Agent BDI Systems
    Supervisor: Lin Padgham and Michael Winikoff
  • Chris Cheong
    A New Approach To Agent Interactions: Towards Flexibility And Robustness
    Michael Winikoff and Lin Padgham
  • Vu Binh Tran
    Expectation Logic
    James Harland and Margaret Hamilton
  • John Thangarajah
    Managing Multiple Concurrent Goals in Intelligent Agents
    Lin Padgham and Michael Winikoff
  • Gaya Jayatilleke
    A Framework for Component Based Agent Design
    Lin Padgham and Michael Winikoff
  • Quang Duc Pham
    A logic-based approach to flexible agent interaction protocols
    James Harland and Michael Winikoff

Current Students:

  • Lavindra de Silva
    Planning in BDI Agent Systems
    Lin Padgham and Sebastian Sardina
  • Simon Duff
    Enhancing Goal Selection for Intelligent Agents
    James Harland and John Thangarajah
  • Jennifer Sandercock
    Using Emotions and Learning to Improve Adaptation and Individuality of Non-Player Characters
    Lin Padgham and Fabio Zambetta
  • Dhirendra Singh
    Agent Learning for Energy Management
    Lin Padgham
  • Zhiyong Zhang
    Automated Test with AOSE Methodology
    Lin Padgham and John Thangarajah
  • Daniel Macias Galindo
    Modular Knowledge for Interactive Agents
    Lin Padgham and Lawrence Cavedon

About Mohammad Khazab

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