Richard Evans

RichardEvans@google.com
Honorary Senior Research Fellow at Imperial
Research Scientist at DeepMind
Imperial home page

Recent papers

• Kant's Cognitive Architecture
  PhD Thesis, Imperial College, 2020.
• Making Sense of Sensory Input
  Artificial Intelligence Journal (forthcoming)
• Formalizing Kant's Rules
  Journal of Philosophical Logic
• Inductive General Game Playing
  Machine Learning Journal
• A Kantian Cognitive Architecture
  Philosophical Studies
• Kant on Constituted Mental Activity
  The American Philosophical Association
• Can Neural Networks Understand Logical Entailment?
  ICLR
• Learning Explanatory Rules from Noisy Data.
  JAIR Featured in WIRED Nov 2018.
  
• Applying ILP with Kantian Priors to a Sequence Induction Task.
  Dagstuhl Seminar 2017: Approaches and Applications of Inductive Programming.
• Computer Models of Social Practices.
  Fundamental Issues of Artificial Intelligence, Proceedings of PT-AI (Oxford, 2013), Springer.
• Versu: A Simulationist Storytelling System.
  IEEE Transactions on Computational Intelligence and Games, 2014.
  IEEE Outstanding Paper Award, 2017

Recent talks

Machine Apperception, KOI, 2019, Cambridge

Apperception, 2019, Oxford

Seek Whence, FLoC 2018, Oxford

Kantian Perspectives on Normativity, 2018, Southampton

ILP for Seek Whence, Keynote at S-REPLS 9, 2018, Sussex

Learning Explanatory Rules, FLoC 2018, Oxford

Differentiable ILP, ICML, 2018, Stockholm>

Learning Explanatory Rules, IJCAI, 2018, Stockholm>

Explain AI, 2018, Imperial

Learning Explanatory Rules, 2018, Turing Institute

Google Scholar

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