Linus Hof
@linushof.bsky.social
Predoctoral Researcher in Cognitive Psychology | Technical University of Munich | Decision Making, Information Search, Computational Modeling & Philosophy of Science
Reposted by Linus Hof
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/
April 7, 2024 at 10:03 AM
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/
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
People tend to combine roundwise comparison with infrequent switching, and summary-wise comparison with frequent switching. 4/4
December 17, 2025 at 10:32 AM
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
People tend to combine roundwise comparison with infrequent switching, and summary-wise comparison with frequent switching. 4/4
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
• Roundwise comparison → underweighting of rarely sampled events
• Summary-wise comparison → generally more overweighting
December 17, 2025 at 10:32 AM
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
• Roundwise comparison → underweighting of rarely sampled events
• Summary-wise comparison → generally more overweighting
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
Simulations show that roundwise comp. yields more maximizing w/ low switch rates, while summary comp. yields more maximizing w/ high switch rates. 2/4
December 17, 2025 at 10:32 AM
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
Simulations show that roundwise comp. yields more maximizing w/ low switch rates, while summary comp. yields more maximizing w/ high switch rates. 2/4