Sort by
Refine Your Search
-
Primary supervisor Pierre Le Bodic Co-supervisors Daniel Harabor Research area Agents and Decision-Making The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a
-
Skip to content Intelligent edge computing for adaptive demand response management: a distributed multi-agent approach (CSIRO Industry PhD Scholarship) Future student scholarship The CSIRO Industry
-
include: How can an agent learn to cooperate when it does not know who it will encounter? Which forms of reputation, punishment or social norms sustain cooperation? Do artificial agents respond to
-
include: How can an agent learn to cooperate when it does not know who it will encounter? Which forms of reputation, punishment or social norms sustain cooperation? Do artificial agents respond to
-
multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical psychology generate vast volumes of heterogeneous evidence, from electronic health records
-
multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical psychology generate vast volumes of heterogeneous evidence, from electronic health records
-
Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation (RAG), explainable AI, and uncertainty estimation to support evidence-based
-
injection, poisoned data, privacy leakage, and unsafe autonomous AI-agent behaviour? This PhD investigates how next-generation healthcare AI systems can be protected before they are trusted in real
-
injection, poisoned data, privacy leakage, and unsafe autonomous AI-agent behaviour? This PhD investigates how next-generation healthcare AI systems can be protected before they are trusted in real
-
Primary supervisor Carlo Kopp Research area Data Science and Artificial Intelligence Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator