Research
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"What a waste of scientist talent, that's if these jokers have any." |
This page gives an overview of the different topics I have worked on. For a full chronological list of papers with descriptions see here
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My research is supported by a UKRI Future Leaders Fellowship on Collective Behaviour of Cognitive Agents. The goal of this fellowship is to use Bayesian inference and decision-making, game theory and strategic artificial intelligence to develop models of social behaviour by rational agents.
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Collective behaviour
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Key papers
RP Mann (2021) Evolution of heterogeneous perceptual limits and indifference in competitive foraging. PLoS Computational Biology RP Mann (2020) Collective decision making by rational agents with differing preferences. PNAS RP Mann (2018) Collective decision making by rational individuals. PNAS RP Mann & D Helbing (2017) Optimal incentives for collective intelligence. PNAS RP Mann et al. (2013) Multi-scale inference of interaction rules in animal groups using Bayesian model selection. PLoS Computational Biology |
Palaeobiology
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Key papers
GE Budd & RP Mann (2020) Survival and selection biases in early animal evolution and a source of systematic overestimation in molecular clocks. Interface Focus GE Budd & RP Mann (2020) The dynamics of stem and crown groups. Science Advances GE Budd & RP Mann (2018) History is written by the victors: the effect of the push of the past on the fossil record. Evolution |
Politics and International Development
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Key papers
BRH Blomqvist, DJT Sumpter & RP Mann (2019) Inferring the dynamics of rising radical right-wing party support using Gaussian processes. Phil Trans Roy Soc A RP Mann et al. (2018) Choice modelling with Gaussian processes in the social sciences: a case study of neighbourhood choice in Stockholm. PLoS ONE V Spaiser et al. (2014) The dynamics of democracy, development and cultural values. PLoS ONE S Ranganathan et al. (2014) Bayesian dynamical systems modelling in the social sciences. PLoS ONE |
Animal Navigation
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Key papers
RP Mann et al. (2014) Landscape complexity influences route-memory formation in navigating pigeons. Biology Letters RP Mann et al. (2011) Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes. J. R. Soc Interface R Freeman et al. (2010) Group decisions and individual differences: route fidelity predicts flight leadership in homing pigeons (Columba livia). Biology Letters |
