optimization

11 notes carry this tag — 6 claims, 2 observations, 1 question, 2 captures. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Resource-rational analysis (Lieder & Griffiths 2020) self-describes as a direct extension of Anderson's rational analysis, pushing it toward Marr's algorithmic level

claim seedling Tier 1 2026-07-27 · resource-rationality, rational-analysis, anderson, lieder-griffiths, marr-levels
Resource-rational analysis formalizes bounded rationality as expected utility minus an explicit compute-cost term, not as a dynamic-programming recursion

claim seedling Tier 1 2026-07-27 · resource-rationality, bounded-optimality, optimization, expected-utility, cognitive-science
Resource-rational analysis confirms the Anderson leg but not the Werbos leg of the optimization-as-theory-of-mind bridge

observation seedling Tier 1 2026-07-27 · resource-rationality, rational-analysis, werbos, bounded-optimality, optimization
Mandt, Hoffman and Blei (2017) model constant-learning-rate SGD near a loss minimum as an Ornstein–Uhlenbeck process

claim seedling Tier 1 2026-07-12 · machine-learning, stochastic-gradient-descent, ornstein-uhlenbeck, optimization, loss-landscape
Werbos's optimal-control ADP and Oaksford–Chater's rational analysis make the same 'optimization as a theory of mind' bet from two independent disciplines

observation seedling Tier 4 2026-07-12 · optimization, theory-of-mind, rational-analysis, werbos, oaksford-chater
Rational analysis (Anderson 1990) explains cognition as the optimal solution to the computational problems the environment poses — Marr's computational level turned into a research program

claim budding Tier 1 2026-07-12 · rational-analysis, marr-levels, bayesian-cognition, cognitive-science, anderson
Does Mandt, Hoffman & Blei (2017) actually model constant SGD as an Ornstein–Uhlenbeck process, and under what assumptions does 'SGD = OU near a minimum' hold?

question answered 2026-07-12 · machine-learning, stochastic-gradient-descent, ornstein-uhlenbeck, optimization, primary-source-verification
The Werbos–Oaksford/Chater bridge is real but relocated — optimization-as-theory-of-mind, and the objective function fixes the verdict

capture promoted Tier 4 2026-07-11 · optimization, theory-of-mind, rational-analysis, werbos, oaksford-chater
Amari (1998) established that the ordinary gradient is not the steepest-descent direction when parameter space is non-Euclidean — the natural gradient, via the Fisher information metric, is

claim seedling Tier 1 2026-07-09 · gradient-geometry, natural-gradient, information-geometry, fisher-information, amari
Werbos's "Optimization: A Foundation for Understanding Consciousness" (1997, not 1996) argues optimization is a useful tool for understanding mind — and is explicitly not his fullest statement on consciousness

claim seedling Tier 1 2026-07-08 · werbos, consciousness, mind, optimization, neural-networks
Capture: What does Werbos argue in his 1996 chapter "Optimization: A Foundation for Understanding Consciousness" and does it constitute his fullest primary statement on mind/consciousness?

capture promoted Tier 1 2026-07-06 · werbos, consciousness, mind, optimization, neural-networks