Linus Hof

Very happy to see our ice-fishing paper on the cover of @science.org this week! 🎣🎉

We tracked large groups of Finnish competitive ice-fishers to study how social foragers use social information when searching for resources. 🐟

Link: www.science.org/doi/10.1126/... (contact me for open access)

30.01.2026 12:36 — 👍 76    🔁 37    💬 2    📌 2

People haven't taken up more computational modelling in the ethos of the blue path model in the OP. What I've seen is more equivocation between model & system under study. Removing the ability of models to act as mediators. See also: doi.org/10.1007/s421... doi.org/10.1007/s421... 3/

07.04.2024 10:03 — 👍 8    🔁 3    💬 1    📌 0

Plot showing relation between switching rates and choices in line with comparison rules

Empirical data suggests that people select strategies (i.e., combinations of search and comparison rules) that promote expected-value–maximizing choice.

People tend to combine roundwise comparison with infrequent switching, and summary-wise comparison with frequent switching. 4/4

17.12.2025 10:32 — 👍 1    🔁 0    💬 0    📌 0

Probability weighting patterns for different sampling strategies

Simulations also show that interplay of search and comparison rules can be a driver of the probability-weighting patterns often seen in decisions from experience. 3/4

• Roundwise comparison → underweighting of rarely sampled events
• Summary-wise comparison → generally more overweighting

17.12.2025 10:32 — 👍 1    🔁 0    💬 1    📌 0

Maximization rates for different sampling strategies

We formalizes sampling strategies along three components: a search rule (switching), a comparison rule (roundwise vs. summary), a stopping rule.

Simulations show that roundwise comp. yields more maximizing w/ low switch rates, while summary comp. yields more maximizing w/ high switch rates. 2/4

17.12.2025 10:32 — 👍 0    🔁 0    💬 1    📌 0

article cover page and abstract

New article in Cognitive Psychology with @thorstenpachur.bsky.social and Veronika Zilker: “How sampling strategies shape experience-based risky choice.”

We present a computational framework for information search and choice in decisions from experience. 1/4
doi.org/10.1016/j.co...

17.12.2025 10:32 — 👍 20    🔁 6    💬 1    📌 1

For all who use Bayesian hierarchical models, have a look at our new preprint, out now together with @linushof.bsky.social @nunobusch.bsky.social and @thorstenpachur.bsky.social

osf.io/preprints/ps...

10.09.2025 14:40 — 👍 18    🔁 12    💬 1    📌 0

Congratulations to @linushof.bsky.social from our lab @tum.de for being the runner-up at this year’s #teap2025 poster competition! His research shows that people search adaptively in decisions from experience.

14.03.2025 05:43 — 👍 14    🔁 5    💬 0    📌 0