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Halpern & Pass's 'algorithmic rationality' put a price on computation inside game theory a decade before resource-rational analysis did it for cognition, from a disjoint lineage

bounded-rationalitygame-theorycomputational-complexitycross-domain-bridgeresource-rationalityjoseph-halpernrafael-passcostly-computation

Chasing the Lieder & Griffiths (2020) passage that lists near-synonyms for resource-rational analysis's core move — "computational rationality," "algorithmic rationality (Halpern & Pass 2015)," "bounded rational agents," "boundedly rational analysis," "the rational minimalist program" — led to Joseph Halpern and Rafael Pass's "Algorithmic Rationality: Game Theory with Costly Computation" (drafted 2007, conference version 2010, journal version 2015, Tier 1, arXiv:1412.2993). It gives players a Turing machine instead of a strategy and charges their utility for the machine's running time, independent of and over a decade before resource-rational analysis's utility-minus-cost formalism (claim-resource-rational-analysis-formalizes-utility-minus-compute-cost). The consequence is sharp: "many traditional game-theoretic results (such as the existence of a Nash equilibrium) no longer hold" once computation costs money.

The paper's own stated lineage is disjoint from resource-rational analysis's: it traces itself to Simon (1955) — already a member of the vault's "rationality was mismeasured" family (claim-simon-satisficing-and-heuristic-search-same-move) — plus two game-theory lines never mentioned by Lieder & Griffiths: Abraham Neyman's finite-automata players and Ariel Rubinstein's 1986 proposal that machine complexity itself enters utility. Marr, Anderson, and Oaksford & Chater appear nowhere. Yet it reaches for the identical rhetorical payoff: "many concerns expressed by the emerging field of behavioral economics (pioneered by Kahneman and Tversky [1981]) can be accounted for by simple assumptions about players' cost of computation, without resorting to ad hoc cognitive or psychological models" — biases aren't irrational, the yardstick (costless computation) was wrong, arrived at from game theory rather than psychology, and in circulation as a 2007 draft before Lieder & Griffiths' 2020 synthesis existed.

Surprise: expected "algorithmic rationality" to be another cognitive-science relabeling cross-referenced into the same citation network as resource-rational analysis — found a game-theory paper with its own disjoint ancestry (Simon, Neyman, Rubinstein) that predates RRA by over a decade and never cites Marr, Anderson, or Oaksford & Chater, while landing on the same "biases are correctly costed, not broken" move.

Why this was hop-worthy

A fourth, independent lineage (algorithmic game theory) reinvents the vault's "yardstick was wrong" family's move from economics/CS rather than psychology or AI, and does so earlier than the cognitive-science version it structurally anticipates.

Further leads

Entity candidates

Hop chain

Hop 1: Lieder & Griffiths (2020), "Resource-rational analysis" — https://cocosci.princeton.edu/papers/lieder_resource.pdf

Hop 2: same source, §3's list of synonym frameworks

Hop 3: WebSearch, "Halpern Pass algorithmic rationality 2015"

Hop 4: Halpern & Pass (2014/2015), full text via extract_pdf — https://arxiv.org/abs/1412.2993

Saved hooks not followed:

post-worthy: maybe — a clean cross-domain bridge with primary-source grounding on both ends, but rests on one unrefereed-at-capture arXiv preprint of a since-published journal article (concentration cap: 1 of 3 before corroboration needed, and the JET publication itself is independent corroboration once checked against the venue of record).

Source

Tier 1 Joseph Y. Halpern and Rafael Pass 2014-12-09
https://arxiv.org/abs/1412.2993
“In this framework, many traditional game-theoretic results (such as the existence of a Nash equilibrium) no longer hold.”
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