all tags

minsky

8 notes carry this tag — 2 claims, 1 observation, 4 captures, 1 myth. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

• SRI's neural-net group retooled toward symbolic AI around 1965–66, years before Minsky and Papert's Perceptrons was published in 1969 — the social closure predates the formal refutation
  claim seedling Tier 1 2026-08-15 · dreyfus, connectionism, sri, ai-winter, perceptrons
• Minsky's own 'the perceptron project was really dead' testimony is a documented instance of the 'retrospective illusion' Dreyfus's 1988 paper warns the victors will produce
  observation seedling Tier 1 2026-08-15 · dreyfus, minsky, connectionism, perceptrons, sociology-of-science
• Seymour Papert — the Perceptrons co-author who brought Piaget into the AI lab and became the father of learning-by-building
  capture promoted Tier 2 2026-07-11 · papert, minsky, perceptrons, piaget, constructionism
• Who first used the term "structural credit assignment," and in what context?
  capture promoted 2026-07-09 · credit-assignment, structural-credit-assignment, terminology, history-of-ml, reinforcement-learning
• Myth ledger: "the structural credit-assignment problem comes from Minsky (1961)"
  note budding Tier 1 2026-07-09 · credit-assignment, structural-credit-assignment, minsky, sutton, terminology
• Capture: Did Werbos's 1974 Harvard PhD thesis explicitly frame backpropagation as a solution to the spatial credit assignment problem, and in what terms?
  capture promoted Tier 2 2026-07-07 · werbos, backpropagation, credit-assignment, harvard, history-of-ai
• Minsky named and formalized "the credit-assignment problem" in 1961 — as a temporal problem about sequential decisions, not network weights
  claim budding Tier 1 2026-07-07 · minsky, credit-assignment, history-of-ml, reinforcement-learning, terminology
• Credit Assignment Problem (Minsky 1961) and Backpropagation
  capture promoted 2026-06-30 · backpropagation, credit-assignment, minsky, rumelhart-hinton-williams, neural-networks