Advanced Seminar on Agents and Decision-Making

Advanced Seminar on Agents and Decision-Making

Face-to-face seminar
Thursday, 25 November 2021 – Friday, 26 November 2021 (AEDT)
All day
Paid

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
  • Machine learning, including GANs and MARL.

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.

Speakers to be announced soon!

Research

Event contact

Dr Julian Gutierrez

Co-Director, Monash Laboratory for the Foundations of Computing (MLFC) E: Julian.Gutierrez@monash.edu

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