slide1
Download
Skip this Video
Download Presentation
Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

Loading in 2 Seconds...

play fullscreen
1 / 8

Intelligent Systems 9 academic staff 4 research staff ~20 PhD students - PowerPoint PPT Presentation


  • 122 Views
  • Uploaded on

Intelligent Systems 9 academic staff 4 research staff ~20 PhD students. Two main subgroups. Intelligent Agents Group. Sebastian. Lawrence. Fabio. Lin. John. Ken. Dave. Sarah. Wilson. Steven. Evolutionary Computation and Machine Learning

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Intelligent Systems 9 academic staff 4 research staff ~20 PhD students' - joelle-lancaster


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1
RMIT University

Intelligent Systems

9 academic staff

4 research staff

~20 PhD students

two main subgroups
RMIT UniversityTwo main subgroups

Intelligent Agents Group

Sebastian

Lawrence

Fabio

Lin

John

Ken

Dave

Sarah

Wilson

Steven

Evolutionary Computation and Machine Learning

Group

Vic

Xiaodong

Andy

interest areas agents
RMIT UniversityInterest Areas (Agents)

Lin

Simulation

Agent S.E.

Agent Reasoning

Sebastian

Agent Reasoning

Knowledge Rep.

Planning

John

Agent S.E.

Agent Reasoning

Fabio

Games and A.I.

Interactive simulation

Virtual characters

Lawrence

Dialogue systems

Knowledge Rep.

Virtual characters

Steven

Knowledge Rep.

Agent Reasoning

Dave

Simulation

Sarah

Simulation

Planning

Wilson

Ontologies

Dialogues systems

interest areas ecml
RMIT UniversityInterest Areas (ECML)

Xiaodong

Multi-objective optimisation

Neural networks

Evolutionary computing

Vic

Evolutioinary Art

Image recognition

Machine Learning

Andy

Image recognition

Machine Learning

funded projects
RMIT UniversityFunded Projects
  • Simulation framework for climate change adaptation:
    • Framework supporting modular components
    • Bushfire evacuation simulation
    • CBD retrofitting for climate change adaptation

Cross disciplinary with social scientists

Discovery project; NCCARF project (Lin, Sarah, Dave, Fabio)

  • Indicators for planning and monitoring sustainability
    • Ontologies, indicator sets (James Thom, ISAR)
    • Agent based system support (Lin …)
    • Social science theory and practice (Global Cities Institute)

Cross disciplinary, led by social scientist;

Linkage project, multiple partners.

funded projects ctd
RMIT UniversityFunded Projects (ctd)
  • Reasoning about agent intentions:
    • What should the agent do next
    • Are there conflicts or synergies
    • Do intentions need to be modified and how

Discovery project; (Lin, Sebastian, John, Steven)

  • Intelligent Toy
    • Dialogue interface with child
    • Engagement and personality

Close industry collaboration; Linkage projects (1 ending, 1 starting, 1 to be submitted) (Lin, Lawrence, Fabio, John, Wilson)

  • Automated Testing:

Linkage grant – may not go ahead

unfunded projects
RMIT UniversityUnfunded Projects
  • Evolutionary Art
    • Vic
  • Multi-Objective Optimisation
    • Xiaodong
  • Agent Programming competition
    • Sebastian
  • Prometheus Design Tool
    • Lin and John
  • Image recognition
    • Andy and Vic
  • Game development with AI support
    • Fabio
courses
RMIT UniversityCourses
  • Artificial Intelligence (UG)
  • Selected Topics in AI
  • Intelligent Agents and Agent Systems
  • Agent Oriented Prog. And Design
  • Evolutionary Computing
  • Intelligent Web Systems
  • AI and Games
ad