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Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

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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 - PowerPoint PPT Presentation
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RMIT University Slide 1 Intelligent Systems 9 academic staff 4 research staff ~20 PhD students
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Page 1: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 1

Intelligent Systems9 academic staff

4 research staff

~20 PhD students

Page 2: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 2

Two main subgroupsIntelligent Agents Group

Evolutionary Computation and Machine Learning Group

Lin JohnSebastian LawrenceFabio

Vic Xiaodong Andy

Sarah Dave Steven Wilson

Ken

Page 3: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 3

Interest Areas (Agents)LinSimulationAgent S.E.Agent Reasoning

JohnAgent S.E.Agent Reasoning

SebastianAgent ReasoningKnowledge Rep.Planning

FabioGames and A.I.Interactive simulationVirtual characters

LawrenceDialogue systemsKnowledge Rep.Virtual characters

SarahSimulationPlanning

DaveSimulation

StevenKnowledge Rep.Agent Reasoning

WilsonOntologiesDialogues systems

Page 4: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 4

Interest Areas (ECML)

XiaodongMulti-objective optimisationNeural networksEvolutionary computingVic

Evolutioinary ArtImage recognitionMachine Learning

AndyImage recognitionMachine Learning

Page 5: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 5

Funded 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.

Page 6: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 6

Funded 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

Page 7: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 7

Unfunded 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

Page 8: Intelligent Systems 9 academic staff 4 research staff ~20 PhD students

RMIT University Slide 8

Courses 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


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