Degree type
PhD, Masters by research
Closing date
1 June 2024
Campus
Hobart
Citizenship requirement
Domestic
About the research project
Multi-Agent Systems (MASs) exemplify a sophisticated paradigm wherein multiple intelligent agents collaborate to attain intricate objectives. MASs have been applied across diverse domains, including smart cities and e-marketplaces. However, the conventional landscape of agent interactions has primarily relied upon formal communication languages, i.e., Agent Communication Languages (ACLs) [1]. While these languages facilitate comprehension within the realm of computers, they simultaneously introduce barriers to machine-human interactions.
The landscape of MASs has undergone a remarkable evolution with the advent of Generative Artificial Intelligence (GAI) and Large Language Models (LLMs) [2], which can bridge the gaps between human-machine and machine-machine communications through the medium of natural languages. Unlike the constraints inherent in traditional ACLs, the dynamic synergy forged by LLMs and GAI empowers both machines and humans to engage in interactions that transpire at the level of language.
This research aims to conceive, construct, and present an innovative framework that seamlessly amalgamates the proficiencies of LLMs and GAI systems. This novel framework will enable communication, learning, reasoning, and collective decision-making among both machine and human agents. The confluence of these cognitive faculties promises to usher in a new era of heightened problem-solving acumen, refined decision-making capabilities, and an overall enhancement in system performance.
This research endeavours to establish a dynamic ecosystem that thrives on the interplay of complementary strengths. The envisioned outcome holds profound implications, not solely in terms of technological advancement, but in the profound societal transformations that can be wrought by more capable and interlinked systems.
References:
[1] Soon, Gan Kim, et al. "A review on agent communication language." Computational Science and Technology: 5th ICCST 2018, Kota Kinabalu, Malaysia, 29-30 August 2018 (2019): 481-491.
[2] Dorin, Alan, and Susan Stepney. "What Have Large-Language Models and Generative Al Got to Do With Artificial Life?." Artificial Life 29.2 (2023): 141-145.
Primary Supervisor
Meet Dr Quan BaiFunding
Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:
- a living allowance stipend of $32,192 per annum (2024 rate, indexed annually) for 3.5 years
- a relocation allowance of up to $2,000
- a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)
If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.
As part of the application process you may indicate if you do not wish to be considered for scholarship funding.
Other funding opportunities and fees
For further information regarding other scholarships on offer, and the various fees of undertaking a research degree, please visit our Scholarships and fees on research degrees page.
Eligibility
Applicants should review the Higher Degree by Research minimum entry requirements.
Ensure your eligibility for the scholarship round by referring to our Key Dates.
Additional eligibility criteria specific to this project/scholarship:
- Applicants must be able to undertake the project on-campus
Selection Criteria
The project is competitively assessed and awarded. Selection is based on academic merit and suitability to the project as determined by the College.
Additional essential selection criteria specific to this project:
- Good programming skills
- Strong knowledge background in math and AI
Application process
- Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
- Contact Dr Quan Bai to discuss your suitability and the project's requirements; and
- In your application:
- Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
- Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
- Apply prior to 1 June 2024.
Full details of the application process can be found under the 'How to apply' section of the Research Degrees website.
Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.
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