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This article explores various approaches to understanding strategic thinking in different contexts such as games, auctions, and betting games. It examines the cognitive hierarchy model and its applications in the lab and real-world scenarios, including eye-tracking and fMRI studies. The article also discusses open questions and potential links to Theory of Mind, disorders of strategic thinking, and the role of experience and expertise.
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Applications (see Crawford+ 2010 review) • Matrix steps • Hedden, Zhang Cog 02, TICS 03 • 2D matrix beauty contest • Chen, Huang, Wang (NatlTaiwanU) 09 • Hide-and-seek • Crawford, Iriberri AER 06; Alec Smith, Forsell+ in prep • Coordination games & cheaptalk (theory) • Ellingsen, Ostling AER 12? • Auctions • Crawford, Iriberri Ecma 07; Gneezy MS 05; Ivanov Ecma 09; Nunnari+ in prep • Private-information betting games • Brocas+ REStud in press • Global games (theory) • Kneeland (UBritishColumbia) 09? • Heterogeneous CH/QRE splice • Rogers, Palfrey, Camerer JEcTheory 09 RSF 4.July.2014
2. Lowest unique positive integer game (LUPI) • Swedish lottery • n=53,000 players • Choose k from 1 to 99,999 • Lowest unique number wins 10,000€ • If n is Poisson distributed… • mixed equilibrium solves enp(k+1) = enp(k) – np(k) Östling, Wang, Chou, Camerer AEJ: Micro 12 RSF 4.July.2014
Poisson equilibrium is a surprisingly good approximation (week 1)… RSF 4.July.2014
…but Q-cognitive hierarchy fits deviations CH τ=1.80 RSF 4.July.2014
Lab replicates direction of field deviations RSF 4.July.2014
Imitation learning produces convergence over time (week 7) RSF 4.July.2014
4. Field application: Cold opened (unreviewed) movies (Brown, Camerer, Lovallo AEJ 12, Mgt Sci 13) Film distributors choose: Show movie to critics before opening Withhold (7% 2000-06; 25% 2007-2009) RSF 4.July.2014
Logical “unravelling argument” predicts no cold openings(Milgrom Bell J 81, Grossman JLE 81 ) • Suppose quality is U ~ [0,100] Movies below q* are opened cold --> E(q|cold)=q*/2 Movies with q [q*/2,q*] are misjudged judged as bad, they are “not so bad” …. • open all movies except very worst • CH: Naïve moviegoers overestimate q, box office gross is higher than predicted RSF 4.July.2014
Low quality movies are cold opened Cold Openings Average Rating of 30 critics RSF 4.July.2014
Low quality movies are cold opened Number of movies Sophisticated moviegoers know cold openings have this quality Average Rating of 30 critics RSF 4.July.2014
Low quality movies are cold opened Naive moviegoers think cold openings have this quality Number of movies Sophisticated moviegoers know cold openings have this quality Average Rating of 30 critics RSF 4.July.2014
Why open cold? “If you screen [a bad movie] for critics all they can do is say something which may prevent someone from going to the movie.” Greg Basser, CEO Village Roadshow Entertainment Group “…if negative reviews are expected, the studio may decide not to screen a picture hoping to delay bad news.” Mark Litwak, Reel Power RSF 4.July.2014
OLS estimation strategy • Bm = αE(qm) + ΣkβkXmk + εm Box office =f(expected quality,other controls) • What is E(qm)? • Reviewed movies: E(qm)=qm • Cold opened movies: E(qm)> qm (from CH) • Bm = αCCOLD + αRqm+ ΣkβkXmk + εm • Coefficient αC > 0 indicates CH naivete • Coefficient αC = 0 indicates sophistication RSF 4.July.2014
Cold opening variable is significantly positive in US • 15% increase in revenue • insignificant in UK, Mexico, US rental (DVD) markets • Can be fit with CH model with 1.63 (Brown+ Mgt Sci in press) RSF 4.July.2014
No effects in UK, Mexico, US rentals (word leaks out) RSF 4.July.2014
Propensity score matching RSF 4.July.2014
PSM similar to OLS regression RSF 4.July.2014
Studios learning that cold opening pays? RSF 4.July.2014
frontier 2: What is level 0? • My current view • Level 0 is fast, salient • Fundamentally an empirical question: • Cf. Schelling: • “one cannot, without empirical evidence, deduce whatever understandings can be perceived in a non-zero sum game of maneuver any more than one can prove, by formal deduction, that a particular joke is bound to be funny.” RSF 4.July.2014
But what’s salient? • “personal” numbers • ends + center of a number line • visual: Itti-Koch “low level” algorithm • Private info: Strategy = known state • e.g. bid your value in an auction • e.g. report state honestly in sender-receiver RSF 4.July.2014
Neurally Based Models of Visual Salience(Itti Koch Nature 05) RSF 4.July.2014
Schelling (1960) map RSF 4.July.2014
Fails on categorical distinctiveness RSF 4.July.2014
Meta-model approach: Level 0’s focus on strategy features (Wright, Leyton-Brown subm 14) RSF 4.July.2014
Georganas+ 14 (UG1) Nash (30%) Level 1 (33%) RSF 4.July.2014
Conclusions • Cognitive hierarchy approach • Lab, field, eyetracking, fMRI • Many open questions • Are there distinct types? • Closer link to ToM regions • Beliefs, intentions, attributions • Disorders of strategic thinking • Paranoia, gullibility, autism(s) • Experience and expertise • Endogenized steps RSF 4.July.2014