A robust engineering science of agent based modelling: Lessons learnt from British COVID models
Four key points with lessons learned from COVID models that were central to the UK's decision to enter the first lockdown in March 2020
Michael Wooldridge, one of the foremost researchers in Artificial Intelligence and former head of the Department of CS at Oxford will host a technical seminar at Reykjavík University May 31 at 11AM in room M101.
The basic idea of agent-based modelling is to model socio-technical systems at the level of individual decision-makers (agents). Agent-based models make it possible to capture aspects of systems (such as social network structures) that cannot be represented with conventional modelling techniques.
In this talk, award-winning AI researcher and master communicator Michael Wooldridge will describe his work towards a robust engineering science of agent-based modelling, focussing on 4 key issues:
- How do we capture agent-based models transparently?
- How do we populate agent-based models with realistic agent behaviours?
- How do we calibrate agent-based models?
- And how do we verify such models?
The talk will illustrate the key points with lessons learned from COVID models that were central to the UK's decision to enter the first lockdown in March 2020.
