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Thesis

Modelling human-like decision making and social trust using probabilistic programming

Abstract:

Effective collaborations between humans and machines necessitate the modelling of human cognitive processes and complex social attitudes such as trust, guilt or shame. Robots can take an active role in reducing misuse if they are able to detect human biases, inaccurate beliefs or overtrust, and make accurate predictions of human behaviour.

To that end, we propose cognitive stochastic multiplayer games, a novel paramet- ric framework for multi-agent human-like decision making, which...

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Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
ORCID:
0000-0001-9022-7599
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Programme:
Oxford-DeepMind Graduate Scholarship
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Deposit date:
2022-06-14

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