A Computational Theory of Strategic Deception

Grant number: DP180101215 | Funding period: 2018 - 2021

Completed

Abstract

This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied areas of computing, where simulating advanced forms of social behaviour and cognition, including deception, will become increasingly significant.

Related publications (4)

Deceptive Strategies in the Miniature Illusions of Close-Up Magic

Michael Smith

2021-11-26

As the Golden Age of large-scale conjuring shows waned in the years after WWI, a new form of close-up magic emerged and took shape..

Characterising Deception in AI: A Survey

P Masters, W Smith, L Sonenberg, M Kirley

2021-01-01

In 2000, it was predicted that artificially intelligent agents would inevitably become deceptive. Today, in a world seemingly awas..

Extended Goal Recognition: Lessons from Magic

Peta Masters, Wally Smith, Michael Kirley

2021-01-01

The "science of magic" has lately emerged as a new field of study, providing valuable insights into the nature of human perception..

The Role of Environments in Affording Deceptive Behaviour: Some Preliminary Insights from Stage Magic

W Smith, M Kirley, L Sonenberg, F Dignum

2021-01-01

Drawing on an ecological perspective, we contend that research into deception in AI needs to consider not only the cognitive struc..

University of Melbourne Researchers

Wally Smith Computing and Information Systems

Liz Sonenberg Research and Enterprise

Michael Kirley Computing and Information Systems