![[development]] # [[induct|learn]]ing what [[induct|inductive]] biases do humans have when learning? - [[archetype]]s and categories - [[primacy bias]] - [[recency bias]] question of [[empiricism]] (nurture) vs [[innate|nativism]] (nature): how strong is the [[prior]]? see [[language acquisition]] and [[universal grammar]] in decision making... - [[credit assignment]] - strategies from previous tasks often generalize (Tomov, Schulz, & Gershman, 2020) ![[human cognitive skill]] # [[problem solving]] > Humans also learn preferences for certain kinds of elegant solution structures in domains like mathematics (Schoenfeld & Herman, 1982), programming (Weiser & Shertz, 1983), and physics (Chi, Feltovich, & Glaser, 1981). > > [[2022PouncyGershmanInductiveBiasesTheorybased|Inductive biases in theory-based reinforcement learning]] prefer **functions** that are... - linear (Kalish, Lewandowsky, & Kruschke, 2004) - simple (Little & Shiffrin, 2009) - compositional (Schulz, Tenenbaum, Duvenaud, Speekenbrink, & Gershman, 2017) eg cognitive heuristics, see [[System I and II]] our beliefs are a [[bias]]ed estimator of the truth (i.e. systematically deviate) # sources "How we decide" book see Kahneman and Tversky 1982: the simulation heuristic: judgment under uncertainty; heuristics and biases [[2022PouncyGershmanInductiveBiasesTheorybased|Inductive biases in theory-based reinforcement learning]] https://www.lesswrong.com/posts/reitXJgJXFzKpdKyd/beware-trivial-inconveniences - eg great firewall of china: "not that hard to get around", but this "trivial inconvenience" is super strong https://thedecisionlab.com/insights/society/how-cognitive-bias-can-sabotage-your-resolutions Gordon Allport (1897–1967)