20022020

Research output per year

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Personal profile

Research interests

The real world is fundamentally noisy and uncertain. Dealing with this uncertainty is one of the most diffuclt things animals do. Over the last 200 years Bayesian techniques have been developed to deal with such uncertainty, and the development of computers has great expanded what problems can be approached.

I am interested in applying such techniques to understanding human and animal cognition. As long as reasonably large data sets can be gathered, insight can be gained into most problems, but at the moment I am interested in visual development, eposodic and semantic memory (and forgetting), eye movements, and signalling in animals.

Recent and current grants

  • Roland Baddeley £ 33,000 (1998) MRC One year case award: optimal motor adaptation to a changing world.
  • Daniel Osorio and Roland Baddeley (2000-2003) BBSRC £178,000 The analysis of signalling in cuttlefish.
  • Roland Baddeley and Daniel Osorio (1999-2002) EPSRC £168,000Illumination invariance and the natural statistics of the world
  • Roland Baddeley (2004-2007) £170,000 EPSRC Reverse Engineering of Vertebrate Brain, Supported by EPSRC grant EP/C516303/1

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Projects

Research Output

CamoGAN: Evolving optimum camouflage with Generative Adversarial Networks

Talas, L., Fennell, J., Kjernsmo, K., Cuthill, I., Scott-Samuel, N. & Baddeley, R., 1 Feb 2020, In : Methods in Ecology and Evolution. 11, 2, p. 240-247 8 p.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
File
  • 325 Downloads (Pure)

    The Bayesian superorganism: externalized memories facilitate distributed sampling

    Hunt, E. R., Franks, N. R. & Baddeley, R. J., 17 Jun 2020, In : Journal of the Royal Society Interface. 17, 167, 12 p.

    Research output: Contribution to journalArticle (Academic Journal)

    Open Access
    File
  • 9 Downloads (Pure)

    The Bayesian Superorganism: Collective Probability Estimation in Swarm Systems

    Hunt, E. R., Franks, N. R. & Baddeley, R. J., 1 Jun 2020, (Accepted/In press) ALIFE 2020: The 2020 Conference on Artificial Life. Massachusetts Institute of Technology (MIT) Press

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

  • Supervised Work

    An expected utility theory that matches human performance

    Author: Fennell, J., 2012

    Supervisor: Baddeley, R. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)

    File