Advanced Seminar on Agents and Decision-Making
Advanced Seminar on Agents and Decision-Making
Motivation
One of the most remarkable growth areas in computer science over the past decades has been research at the intersection of agent technology and decision theory. Decision theory ideas involving agents have been applied in many disciplines within computer science, while agent technologies for modelling and reasoning have provided powerful tools for decision-making to tackle problems in computer science, for instance, to solve complex problems about discrete optimisation, automated verification, and learning under uncertainty.
Specifically, agent-based decision-making ideas have proven useful in at least five key areas of computer science:
- Algorithmic game theory
- Logic and formal verification
- Probabilistic/Bayesian reasoning
- Multi-agent planning and optimisation
- Multi-agent and multi-objective learning
This advanced seminar on agents and decision-making will gather world-class researchers in different areas of agent technology and decision theory. The seminar will also be a scientific forum that will provide a unique platform where a stronger network of collaboration can be nurtured between researchers in the Australasian region who are interested in cutting-edge topics related to the theory and practice of agent-based technologies and decision-making methodologies.
Program
| Time/Day | Thursday (09/12) | Friday (10/12) |
|---|---|---|
| 09.00-09.45 | Michael Wooldridge (Oxford University) Understanding Equilibrium Properties of Multi-Agent Systems | Julian Garcia (Monash University) Cooperation without Dictators |
| 09.45-10.30 | Michael Thielscher (UNSW) Knowledge Representation and Reasoning for Agents with General Intelligence | Quan Bai (University of Tasmania) Agent-based Influence Propagation Modelling: Methods and Applications |
| 10.30-11.00 | Morning coffee/tea | Morning coffee/tea |
| 11.00-11.45 | Tim French (University of Western Australia) The World as a Role-playing Game: Aleatoric Reasoning and Learning | Peter Vamplew (Federation University Australia) An Overview of Multiobjective Agents |
| 11.45-12.30 | Sebastian Sardina (RMIT) From Non-deterministic Planning to Agent Planning Programs and Goal Recognition | Richard Dazeley (Deakin University) Human-aligned Reinforcement Learning: A Multiple-objective Approach |
| 12.30-14.00 | Lunch | Conclusion |
| 14.00-14.45 | Ron van der Meyden (UNSW) Can SAFE contracts be smart? | |
| 14.45-15.30 | Haris Aziz (UNSW) Strategyproof and Proportionally Fair Facility Location | |
| 15.30-16.00 | Afternoon coffee/tea | |
| 16.00-16.45 | Nir Lipovetzky (University of Melbourne) Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning | |
| 16.45-17.30 | Daniel Harabor (Monash University) New Ideas for Multi-Agent Path Finding |