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During scanning, the subject viewed a projection of a computer screen see Fig. 1 A and gave a spoken response in each trial. The Beauty Contest game session 1 consisted of guessing an integer number between 0 and 100 both limits includedin which the winner is the person whose number is closest to M average of all chosen numbers. M is the known multiplier parameter in a trial which takes 6 values with M 1 9 8, 6 5, 4 3, 3 2, 5 3, 7 4.

We also include M 1, which is a control, whether the thought process started at or 50. However, level 1 and level 2 cannot be distinguished for M 1. The winner received 10 euros. If there was a tie, the 10 euros were split between those who tied. Information about the results of the game was provided at the payment stage see below.

The first session consisted of 3 different conditions i human condition, in which a subject knew that he was playing against 9 other subjects who were under exactly the same conditions as himself but at a different scheduled time 13 trials ; ii computer condition, in which the subject was informed that a computer program randomly draws 9 numbers 13 trials ; and iii a random condition, in which the subject was asked to choose a number at random between 0 and 100 13 trials.

Each value of the parameter M was presented twice, once in the human and a second time in the computer condition. The calculation tasks session 2 were of the form N M 24 trials or N M M 24 trialswhere N is a 2 digit number and M is a multiplier from the set mentioned above, excluding M 1. Each product was mentioned twice with the same M but different N. We also asked for a random number as a control 12 trials.

For each correct calculation task a subject received 50 euro cents. A correct answer had to be within a 1 deviation of the up or down rounded result, e. We used an event-related design, mixing the 3 main conditions.a result of 54. 33 produced a winning interval from 53 to 56. The calculation task was always presented after the Beauty Contest game to avoid behavioral biases. The participants were informed and instructed about the calculation task just before it began. Time Course of the Experimental Tasks.

On each trial of the Beauty Contest game session 1 the subject viewed an information screen 2 seconds indicating the type of condition human, computer, or randomthe formula of the target number with the information about the value of the parameter multiplier M with the exception of the random conditionand the question to choose a number between 0 and 100.

After pressing the button the subjects had 2 seconds to say a number. After 2 seconds, the message press the button when ready appeared in the bottom of the screen. There was an intertrial interval of 4 8 s jittered. In the calculation task session 2 the subjects viewed an information screen 2 seconds with the indication of the factor s and the number digit they had to multiply. They were asked to give an answer with a maximum of 10 s.

The message say a number appeared right after they pressed the button, or automatically after the time limit 10 s. Stimuli Presentation. Behavioral responses were logged by means of a desktop computer located outside the scanner running Presentation Neurobehavioral Systems, Inc. stimulus delivery and experimental control software system for neuroscience. At the end of the scanning subjects had to fill in a questionnaire with the following questions.

i Please comment on your first choice. M 2 3 in the human condition. ii Please comment on your choice when M 1 4 in the computer condition. iii Did you have a general rule for the trials in the human condition. iv Did you have a general rule for the trials in the computer condition. Notably, the subjects responses on the questionnaire were very consistent with their pattern of choice see SI Text SI4.

Participants were financially motivated. Each subject received a 50 euro show-up fee at the end of the experiment. Once 10 subjects had been scanned, we sent them an e-mail message with a table of their own choices and the choices of their coplayers preserving anonymity. For each subject, we summed up the winning amount of each trial according to the rules of the game mentioned above.

A transfer of the money they won was sent to their bank account. Statistical Analysis of Behavioral Data Behavioral Types. We categorized each player according to 3 categories based on choices in the human condition random behavior, low level level 1and high-level reasoning level 2 or higher. To measure the level of reasoning of a subject we did the following i we calculated for each trial of the Beauty Contest game the quadratic distance QD between actual choice and the different theoretical level k values L1, L2, L3,according to the Cognitive Hierarchy model Fig.

1 C where x ijM is the choice of participant i in condition j either human or computer in trial with parameter M; k is level k with k 1, 2, 3. ii We determined the minimum distance and the corresponding level k within each trial. For example, a choice of 24 for M 2 3, has is minimum QD for k 2 i.QD1 24 50 2 3 2 87, QD2 24 50 2 3 2 2 4, QD3 24 50 2 3 3 2 84,thus we classified this choice as level 2.

iii For the human condition, we counted how many times out of 12 M-parameters, thus without M 1, which is not predictive of level of reasoning a player was identified by one of the above-mentioned levels k of reasoning. We categorized a player as high level if at least 7 of 12 cases in the human condition were identified as level 2 or higher. Players that did not belong to any of these categories were classified as random players.

iv We categorized a player as low level if at least 7 of 12 cases in the human condition were identified as level 1. We used the mean quadratic distance between actual choices and one theoretical type e.L1 or L2 across all trials for each subject to test for behavioral differences between conditions human vs. computer and types high vs.

lowas reported in the results section. Strategic IQ. We define strategic IQ as the subject s ability to guess a number that could potentially win against a large population of opponents. We considered all of the possible combinations of 9 choices out of all 19 opponents choices human condition a player can be matched with we followed the recombinant estimation method 46, 47. For each subject, we calculated i the winning number for each combination of choices including the considered subject s choice per trial; ii the quadratic distance of a subject s choice to the winning number of every combination per trial; iii the average quadratic distance across all of the possible combinations and all trials of a subject plotted in Fig.

fMRI Data Acquisition, Preprocessing and Statistical Analysis. Subjects were scanned using a 1. 5T MRI scanner Siemens Magnetom Sonata with an 8 channel head coil performing the experimental task over 2 sessions. T2-weighted echoplanar images, optimized for blood oxygenation level-dependent BOLD contrast, were acquired. Each volume comprised 26 slices acquired continuously over 2.

5 s TE 60 ms; interleaved acquisition; slice thickness 4 mm; 0. 4 mm noncontiguous; parallel to the subject s anterior posterior axis; in plane resolution 3. 44 mm 2 ; matrix size 64 64allowing for complete brain coverage. Additionally, a T1-weighted image was acquired at the end of each experiment. Head motions were minimized by the use of foam padding.

Headphones and ear-plugs were used to dampen the scanner noise. We used an MRI-compatible microphone for recording voice responses. html on a Matlab platform. Images were initially realigned to correct for motion artifacts. Differences in the timing of images slices across each individual volume were corrected, and each volume was transformed into standard stereotaxic space and smoothed with a Gaussian filter full-width half-maximum 8 mm.

Voxel-wise differences in BOLD contrast within the smoothed normalized images resulting from the different task conditions and trial types were examined using SPM. Standard neuroimaging methods using the general linear model were used with the first level individual subject analyses providing contrasts for group effects analyzed at the second level. Choice-related neural activity at the time of choice was studied during the epoch between trial onset and subject response self-paced button-press before pronouncing a number.

The intertrial intervals were jittered using an optimal signal-to-noise function 48, 49. Choice trials were partitioned according to whether the subject was in the human, computer, or random condition of the Beauty Contest game and in the C1, C2, or random condition in the calculation task. For group analysis of choice-related activity, second-level analyses of contrast for different levels of reasoning for different trial types human, computer, and random where computed as ANOVAs with sphericity correction for repeated measures.

Posthoc exploration of individual data is also reported to illustrate specific effects as a function of different trial types. Adjusted activity represents BOLD signal changes proportionally adjusted for the analytic model. Although general threshold significance was set at P 1 To whom correspondence should be addressed. E-mail coricelli isc.

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Camerer CFHo T-HChong J-K 2004 A cognitive hierarchy model of games. Amer Econ Rev 85 1313 1326. Nagel R 1995 Unraveling in guessing games An experimental study. Stahl DOWilson PW 1995 On players models of other players Theory and experimental evidence. Games Econ Behav 10 218 254. Bosch-Domenech AMontalvo JGNagel RSatorra A 2002 One, two, threeinfinity Newspaper and lab Beauty-Contest experiments. Amer Econ Rev 92 1687 1701. Costa-Gomes MCrawford VP 2006 Cognition and behavior in two-person guessing games An experimental study.

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D Argembeau Aet al. 2007 Distinct regions of the medial prefrontal cortex are associated with self-referential processing and perspective taking. J Cognit Neurosci 19 935 944. Mitchell JPBanaji MRMacrae CN 2005 The link between social cognition and self-referential thought in the medial prefrontal cortex. J Cognit Neurosci 17 1306 1315. Mitchell JPMacrae CNBanaji MR 2006 Dissociable medial prefrontal contributions to judgments of similar and dissimilar others.

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Moran JMMacrae CNHeatherton TFWyland CLKelley WM 2006 Neuroanatomical evidence for distinct cognitive and affective components of self. J Cognit Neurosci 18 1586 1594. Ridderinkhof KRUllsperger MCrone EANieuwenhuis S 2004 The role of the medial frontal cortex in cognitive control. Science 306 443 447. Kerns JG 2006 Anterior cingulate and prefrontal cortex activity in an fMRI study of trial-to-trial adjustments on the Simon task.

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Games Econ Behav 52 424 459. Mitchell JP 2008 Activity in right temporo-parietal junction is not selective for theory-of-mind. Cereb Cortex 18 262 271. Hampton ANBossaerts PO Doherty JP 2008 Neural correlates of mentalizing-related computations during strategic interactions in humans. Proc Natl Acad Sci USA iqoption deposito 6741 6746. Int J Game Theory 22 171 198. Mullin CHReiley DH 2006 Recombinant estimation for normal-form games, with applications to auctions and bargaining.

Games Econ Behav 54 159 182. Friston KJZarahn EJosephs OHenson RNDale AM 1999 Stochastic designs in event-related fMRI. NeuroImage 10 607 619. Liu TTFrank LRWong ECBuxton RB 2001 Detection power, estimation efficiency, and predictability in event-related fMRI. NeuroImage 13 759 773. Social Sciences Economic Sciences. Biological Sciences Neuroscience. Abstract Results Discussion Methods Acknowledgments Footnotes References.

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