Expertise

My research goal is to advance the understanding of cognitive and adaptive systems by examining how theories, models, and organisms cope with extended uncertainty conditions. My lab webpage explains this research program in greater detail.

This research cuts across disciplinary divisions to investigate fundamental questions in the study of rationality, decision science, linguistic theory, economic theory, and evolutionary and adaptive systems. I use machine learning techniques, statistical modeling, and laboratory and online experiments with human participants to explore these issues.

Courses

Recent publications

  1. Rationality without optimality: Bounded and ecological rationality fr…

    Brighton, H. (2021). Rationality without optimality: Bounded and ecological rationality from a Marrian perspective. In Routledge Handbook of Bounded Rationality (pp. 268-279). Routledge.
  2. Simulation

    Brighton, H., & Powell, W. (2020). Simulation. In The Palgrave Encyclopaedia of the Possible Springer Nature.
  3. Statistical foundations of ecological rationality

    Brighton, H. (2020). Statistical foundations of ecological rationality. Economics: The Open-Access, Open-Assessment E-Journal, 14, 1-32. [20202].
  4. Explaining Predictions by Approximating the Local Decision Boundary

    Vlassopoulos, G., van Erven, T., Brighton, H., & Menkovski, V. (2020). Explaining Predictions by Approximating the Local Decision Boundary. https://arxiv.org/abs/2006.07985
  5. Beyond quantified ignorance - rebuilding rationality without the bias…

    Brighton, H. (2019). Beyond quantified ignorance: rebuilding rationality without the bias bias. (Economics Discussion Papers; No. 2019-25). Kiel Institute for the World Economy.

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