| | Ultimatum bargaining behavior of people affected by schizophreniaReceived 13 June 2005; received in revised form 24 December 2005; accepted 2 March 2006. Abstract Forty-nine people suffering from schizophrenia performed an interactive bargaining task involving small monetary rewards, known in classical game theory as the Ultimatum Game. In this task, the subject, in the role of the Proposer, has to offer his or her (anonymous) counterpart, the Responder, a share of a given sum of money. If the Responder accepts the offer, then the sum is split accordingly between the two. Otherwise, if he or she decides to reject the offer, both receive nothing. The patients' strategic behavior in both roles was compared with that of healthy and clinical controls. It was hypothesized that cognitive deficits characterizing schizophrenia, together with difficulties in social judgment, would impair the patients' bargaining ability. We found that in general schizophrenic patients did not fully exploit their strategic power as Proposers. In contrast, as Responders, schizophrenic patients acted not significantly different from controls. Further investigation is needed to establish the links between cognitive and symptomatic mediators and strategic decision-making ability. 1. Introduction  In this work we have studied the strategic behavior of schizophrenic patients playing the Ultimatum Game (UG). The UG is an interactive decision task that involves goal-directed behavior, using cognitive skills such as working memory and executive function (i.e. planning ahead while anticipating future consequences). Moreover, it requires ‘mind-reading’ (mentalizing) ability and social cognition. The UG involves two players, the Proposer and the Responder, and is described by the following rules: The Proposer is given a sum of money and has to offer the Responder part of it. The Responder may either accept the offer or reject it. If he or she chooses to accept the offer, the sum of money is divided between the two according to that offer. However, if he or she rejects the offer, then both players receive nothing. In playing the UG, certain cognitive abilities and functions are employed by both players. To maximize his or her payoff, the Proposer is supposed to use a mentalizing ability. The Responder, on the other hand, might face a conflict between ‘rational’ thinking (the goal of maximizing his or her payoff) and emotional arousal concerning social norms (e.g. a feeling of insult, the urge to punish for unfairness). Two distinct brain regions, the dorsolateral prefrontal cortex and the insula, were found to be highly activated during the Responder's decision under this conflict (Sanfey et al., 2003). Both these brain regions are considered impaired in schizophrenic patients. The hypothesis that people affected by schizophrenia have impaired mentalizing ability (Theory of Mind) has been discussed by Frith and Corcoran (1996), but no definitive conclusions have been reached. The main goal of our research was to study how people affected by schizophrenia function in the UG, a bargaining game that reflects aspects in daily life functioning. 1.2. Decision-making behavior and social cognition in schizophrenia The degree to which schizophrenic patients show intact functioning on decision-making tasks is still unclear. Several studies using two different decision tasks — Bechara's gambling paradigm (also known as the Iowa Gambling Task) and the two-choice prediction task— resulted in ambiguous conclusions (Bechara et al., 1994, Shurman et al., 2005, Hutton et al., 2002, Wider et al., 1998, Ludewig et al., 2003). Beside cognitive deficits such as in working memory and executive function, which are considered a core feature of schizophrenia (Sharma and Antonova, 2003), other deficits belong to the field of social cognition. It was hypothesized that difficulties in social interactions in schizophrenia originate in a deficit in Theory of Mind (ToM), that is, in incorrect interpretation of the intentions and thoughts of others. Various studies were aimed at finding a linkage between the symptomatology of schizophrenia, cognitive deficits, and functioning level in ToM tasks (Corcoran et al., 1995, Stephenson et al., 1996, Pickup and Frith, 1996, Pickup and Frith, 2001). The crucial difference between a typical task (a ToM task or a decision-making task such as the ones mentioned above) and a game is that the former doesn't take into account interactive considerations; none of the decision alternatives from which a subject chooses a response influence the other subjects. However, in a game such as the UG, each decision alternative has a different effect upon both the player who makes the decision and his or her counterpart. There is no doubt that a certain ‘mind-reading’ ability is crucial in daily social exchange and social relations, no less than cognitive abilities such as memory and planning ahead. Daily life decision-making processes should take into account other people's response to one's decisions. Therefore, whereas the majority of the literature examined decision-making abilities of schizophrenic patients in non-strategic environments, our study investigates how schizophrenic patients deal with a strategic interaction. 1.3. The Ultimatum Game The Ultimatum Game represents a “take it or leave it” negotiation scene: one bargainer makes a final offer to the counterpart and walks away from the table, leaving the other to either sign the deal or not. Personal experience in negotiation might tell us that such a dramatic attitude has a good chance of failing. However, in classical game theory, such an ultimatum should work. Imagine the following situation: you receive a sum of money and are being told to offer an anonymous person a part of it. If this person accepts your offer (for example, of one dollar out of the whole sum), then you end up with the whole sum minus one dollar, and the other person ends up with a dollar. However, the other person has the right to reject your offer, in case it doesn't suit him or her: if that happens — both of you end up with no money at all. In game theory, this situation is called an Ultimatum Game. In this game there are two players: a Proposer (the one who makes the offer and who has the advantage of the first-goer), and a Responder (who makes the decision whether to accept the offer or reject it, and thus has veto power). If we assume that each player wants to maximize his or her profit in the game, it is clear that the Responder should accept any offer, because any positive amount is better than zero. Therefore the Proposer, knowing this, should offer the smallest amount possible. Thus, in the case of two ‘rational’ players playing for 20 New Israeli Shekels (NIS) — approximately 5 U.S. dollars — the Proposer should offer 1 NIS, the Responder should accept the offer, and the game should end with payoffs (19, 1) — that is, Proposer receiving 19 NIS, Responder receiving 1 NIS. In fact, the Responder should accept even an offer of 0 NIS, because rejection will not negatively effect his or her payoff (either accepting or rejecting the offer, he or she will end up with 0); thus, another possible result of the game is (20, 0). Such a pair of payoffs in called the Nash Equilibrium of the game, and it means that this is how the game should end if the players are both payoff maximizers.(Selten, 1975). However, this equilibrium was rarely realized in any of the numerous experiments that have been conducted throughout the world over the past 22 years (Guth et al., 1982, Guth and Tietz, 1990, Roth et al., 1991, McCabe et al., 2002). Instead, subjects reach a less extreme, more reasonable division of the sum of money at stake, even though the game is played anonymously so that social considerations such as reputation should have no influence. The average Proposer offers 40% of the amount to the Responder. In average, 16% of the offers are rejected. Tiny offers are almost always rejected (Oosterbeek et al., 2003). Aspects of social exchange in everyday life are represented in this simple game, for example, fairness and punishing for unfairness (even at the price of lowering one's own profit), along with empathy (the Proposer can try to predict the response by putting himself or herself in the place of the Responder). In addition, playing this game more than once involves a learning process, even if one's counterpart changes: for example, one learns which low offers are high enough to be accepted, and which have a high probability of being rejected. 1.4. Hypothesis As described above, people affected with schizophrenia tend to misinterpret the intentions and beliefs of others. Hence, we hypothesized that as Proposers, these subjects would: 1)Not fully acknowledge their strategic power, i.e. the power to offer a little less than half the sum and thus earn more than half. Realizing that such an offer has a good chance of being accepted demands a certain mind-reading ability, which might be impaired in schizophrenia. We therefore expected offers in the schizophrenic patient group to be higher, closer to half the sum, than those in the control groups. 2)Make some tiny offers, not taking into account the high probability of rejection of these “insulting” or “unfair” offers by the Responders. 3)Make unreasonable hyper-fair offers (more than half the sum), due to misjudgment of the situation. In addition, we predicted perseveration along trials: after experiencing one round of the game, the offer level would not change dramatically following “accept” responses; a Proposer in the schizophrenic group will not attempt to maximize his or her payoff by reducing their offer after their last one was accepted. As for the Responder's role, we rely on the article Autism, theory-of-mind, cooperation and fairness (Hill and Sally, 2003). The authors of this unique study investigated the behavior of people with autism in the UG. They conclude that the rejection rate is not necessarily correlated with intact ToM. Therefore, we predicted no substantial difference in rejection rates among the three groups. 2. Methods  2.1. Subjects Forty-nine people with a DSM-IV diagnosis of schizophrenia participated in the study. Diagnosis was based on clinical assessment made by two specialist psychiatrists. All subjects were inpatients in the day care unit of “Shalvata” Mental Health Center, in Hod-HaSharon, Israel. The patients were in various stages of rehabilitation, all attending either the day care ward or a rehabilitation unit. None were fully hospitalized. Based on clinical assessment, none of the patients were in an acute psychotic stage of illness. The experiment was approved by the local Helsinki committee, and all participants gave their signed informed consent. Subjects were further selected based on functional measures: the patient's ability to cooperate, and autonomously perform his or her part in the game. Prior to participating in the game, every patient was asked to perform a short preliminary task in order to assess organizational ability and basic arithmetic ability: subjects were given a deck of cards, and were asked to form a combination of cards that would create the number 11. After completing this task successfully, the participants proceeded to the next stage of the experiment. Two control groups were studied as well. A group of 52 non-clinical controls was recruited from the community and university staff (age and gender matched). A second control group consisted of 19 depressive patients, all inpatients attending a day program at “Shalvata” Mental Health Center at the time of the experiment (Table 1). | | |  | | Schizophrenic patients N = 49 | Depressive patients N = 19 | Non-clinical controls N = 52 |  |
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 | Mean | S.D. | Mean | S.D. | Mean | S.D. |  |
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 | Age (years)a | 36.2 | 10.8 | 43.0 | 18.5 | 34.9 | 9.2 |  |  | Educationb | 0.9 | 0.6 | 1.3 | 0.9 | 1.5 | 0.6 |  |  | Mean age at onset of illness (years)c | 19.4 | 4.9 | 27.0 | 18.0 | | |  |  | Length of current admission (months)d | 4.4 | 5.5 | 3.5 | 2.6 | | |  |  | Number of previous admissionse | 2.8 | 2.2 | 1.8 | 1.0 | | |  |  | CGI scoref | 4.6 | 1.0 | 4.3 | 0.8 | | |  | | | |
2.2. Procedures Patient sessions included 4, 6, or 8 participants, half of them in the role of Proposers and the other half as Responders. Roles were determined randomly by the instructor. Control sessions included 6, 8, or 18 participants. Proposers sat in a row facing a row of Responders. All of the participants in a session sat in the same room, so that the experimental procedure would be transparent to them. Each participant was assigned a code number, so that the session would be anonymous: the names of one's counterparts would not be revealed to him or her. The procedure of each “round” was as follows: The Proposer made an offer by filling in a form (see Appendix 1). The forms were then distributed randomly among the Responders. In this way, every Responder received an offer from an anonymous Proposer. After the Responders filled in their decisions, each form was returned to the Proposer to whom it belonged, so that each Proposer could find out what the response to his or her offer was. Subjects were asked to keep silent during the session. At the beginning of the session, the subjects were given an oral explanation of the rules of the game by the instructor. Thereafter, a demonstration round was played (with no real payoffs), followed by two “real” rounds (i.e. with payoffs) in a row. The sum of money for each round was 20 NIS (approximately 5 U.S. dollars). The subjects were told that after these two rounds, they would receive their payoffs according to one of the rounds, which would be randomly chosen. (This was done due to budget limitations.) At the end of the session each subject discreetly received an envelope containing his or her payoff. The UG can be played, and studied, either as a single-round or a multi-stage game. We have chosen to study a simple two-stage version (two pay rounds). The rationale for this choice was both our interest in the initial behavior rather than the acquired one, and our desire for subjects to fully comprehend the game rules. This is why we address much importance to the last round of the game, the second pay-round, in which we assume subjects to have operated out of comprehension of the game. 2.3. Data analysis A Pearson chi-square test was used in order to check whether offer distribution varied with group. To assess order to assess the influence of experience on Proposers' behavior, we applied regression analysis with last (2nd) offer as the dependent variable, and the following variables as predictors: 1st offer (O1), the response to it (R1), group, group • O1, O1 • R1. A Pearson chi-square test was used to determine whether the distribution of Proposer types varied with group. One- and two-way analyses of variance (ANOVAs) were used to analyze differences in mean offer between the groups, with and without respect to gender. A series of Pearson chi-square tests was used to examine whether the rejection rate varied with group and round. 3. Results  3.1. Offers 3.1.1. Offers by levels We divided offers into three categories, with respect to offer level: fair (10 NIS), unfair (less than 10 NIS), and hyper-fair (more than 10 NIS). A significant difference between the groups concerning the final offer was revealed. The distribution of final-round offers by levels is presented in Fig. 1. While the distribution of healthy subjects' offers was approximately even between fair and unfair (none were hyper-fair), that of schizophrenic subjects was significantly different (P = 0.016); about 50% of their offers were fair and the rest were more or less evenly divided between unfair and hyper-fair. Thus, for schizophrenic Proposers, the possibility of dividing the money evenly was as reasonable as for healthy Proposers, whereas the option of being hyper-fair appears to be as reasonable as being unfair, in contrast to the pattern for healthy Proposers. 3.1.2. Offer fluctuation after acceptance/rejection Fig. 2 shows the influence of experience on Proposers' behavior, that is, how the 1st offer and the counterpart's response to it influenced the level of the 2nd offer. It turned out that the nature of this influence varied with group (all P values < 0.035). The adjustment of the 2nd offer after the 1st offer had received a negative response is quite similar in both the schizophrenic and healthy control groups (Fig. 2a). Both figured out that they should raise their 2nd offer after their 1st one was rejected. However, schizophrenic patients were more generous and raised their offer to a slightly higher level than controls. (As can be seen in Fig. 2a, the line representing the schizophrenic group is slightly above the line representing controls, when 1st offer is unfair.) This similarity emphasizes the relative failure in strategic thinking, as demonstrated in the way schizophrenic patients adjust their 2nd offer after their 1st offer had received a positive response. While healthy controls, attempting to maximize their payoff, lower their 2nd offer after a positive response for their 1st offer, schizophrenic patients do not do so. As can be seen in Fig. 2b, their 2nd offer seems independent of the response they had received and is approximately constant (7.7 NIS). 3.1.3. Proposer types In order to further examine Proposers' strategic thinking, we divided the entire Proposer population into types, based on how their 2nd offer was affected by the response to their 1st offer: Referring to the two pay-rounds (1st and 2nd), we define ‘strong-strategic’, ‘weak-strategic’ and ‘non-strategic’ types of Proposers as follows: ‘Strong-strategic’ Proposers are those who adjusted their 2nd offer according to the response to their 1st offer, that is, raised their 2nd offer after their 1st one was rejected, or lowered their 2nd offer after their 1st offer was accepted. ‘Weak-strategic’ Proposers are those who perseverated, that is, their 2nd offer was the same as their 1st offer. Finally, ‘non-strategic’ Proposers are those who unreasonably reduced their offer after a rejection, or raised their offer after an acceptance. We found that the distribution into types significantly varied with group. As demonstrated in Fig. 3, the highest proportion of non-strategic Proposers is in the schizophrenic group (P = 0.018). Non-strategic Proposers consist as much as 20% of the total in the schizophrenic group, while in the healthy group there are none. 3.1.4. Mean offer No significant differences in mean offer were revealed between the three groups. The mean offers in all groups were approximately 8.7 NIS with a standard deviation of about 3 NIS. 3.1.5. Mean offer by group and gender Analysis referring to group and gender revealed a significant difference between the schizophrenic group and the healthy control group; analysis of the first round of the game (demo round) revealed a link between group and gender (P = 0.029); that is, the difference between men's and women's mean offer was found to be group dependent. In the schizophrenic group, the average offer of men was significantly higher than that of women (10.4 vs. 7.1 NIS, respectively), with men's mean offer being slightly more than half the sum, whereas in the healthy control group only a minor difference between men's and women's offers was demonstrated (8.2 vs. 9.1 NIS, respectively). This phenomenon was even more significant (P = 0.001) on the last offer (round 2) of the game: while schizophrenic men offered on average 11.2 NIS, schizophrenic women offered only 6.7 NIS on average. In the healthy control group, no such differences were found; men's and women's mean offers being 7.7 and 8.5 NIS, respectively. Thus, the deviation from the standard offer level (the mean offer of men and women together, which was around 8 NIS in all groups) is upwards for schizophrenic men, and downwards for schizophrenic women. 3.2. Responses 3.2.1. Rejection rates The rejection rates are presented in Fig. 4. On the demo-round, the rejection rate in the schizophrenic group was significantly lower than in both control groups. (8% vs. 34% and 30% respectively, P = 0.077). A reversed trend was demonstrated in the 1st round, when the rejection rate of patients was significantly higher than that of healthy subjects (P = 0.026): the latter rejected only 4% of the offers, while schizophrenic subjects and depressed subjects rejected 20% and 40% of the offers, respectively. By the last round, no significant difference was found in rejection rates between the different groups. Although the rejection rate among schizophrenic subjects remained the highest (29%, vs. 19% of healthy and 20% of depressed patients), this difference was not statistically significant. 4. Discussion  In the present study, we aimed at examining the strategic ability of schizophrenic patients, using the UG. Based on previous findings of Sharma and Antonova (2003), we predicted that schizophrenic patients' cognitive deficits and difficulties in social interactions might make their strategic behavior less efficient (or merely different) from that of controls. We have chosen to utilize a paradigm taken from classical game theory, the study of strategic interactions. In a game, players (either opponents or partners) use computational and social cognitive skills to select the most profitable strategy, where profit can be money, satisfaction, reputation, etc. Being a mathematical field of study, game theory quantifies each game into a matrix of actions and payoffs, thus searching for optimal strategies. By modeling an interaction between two sides as a game, in the game-theoretic sense, we can quantify aspects in the behavior of the people involved, and examine their choices in the light of the optimal strategies game theory gives us. The advantage of a task like the UG over traditional tasks used to quantify decision-making ability is that this kind of game-oriented task can model daily life situations, such as negotiation/bargaining situations in which one decides whether or not to purchase a certain item or where to do it, one manages a bank account, etc. These situations demand a decision-making ability which involves both cognitive and emotional factors. Existing laboratory decision-making tasks such as the Iowa gambling task and the two-choice prediction task mentioned earlier can help to quantify decision-making characteristics involving working memory or executive control. However, the conclusions drawn from these experiments are somewhat limited since the nature of the tasks does not involve a few crucial aspects of decision-making in daily life. Whereas existing tasks are performed in a ‘sterile’ laboratory environment, isolating and measuring single aspects of behavior, the UG task is interactive, user-friendly and simple to perform. It involves real people, not merely a computer screen. The decisions that one has to make in either role of the UG link cognitive abilities such as executive function and working memory, together with social judgment concerning the other players' view of reality, as well as one's own. This is exactly the kind of decision we constantly make in everyday life; therefore understanding how cognitive impairments affect social decision-making and strategic thinking is of great importance. This kind of task can add to traditional means of evaluating cognitive abilities another, more complex evaluation of a patient's daily functioning. In this study we found substantial differences between schizophrenic and non-schizophrenic subjects as Proposers. Schizophrenic subjects did not fully exploit their advantage as first-goers in the game. In contrast to healthy controls who, after an ‘accept’ response, figured out they can now reduce their offer in a reasonable way and still get an ‘accept’ response, thus increasing their payoff, schizophrenic patients did not fully attempt to make the best out of the situation. Misjudgment of the bargaining situation is clearly seen in the schizophrenic patients' distribution of offers by levels — fair, unfair, hyper-fair — which differs from that of healthy controls. While not even a single hyper-fair offer, and equal rates of fair and unfair offers, were made by the healthy control Proposers, schizophrenic Proposers made a considerable amount of hyper-fair offers, the same rate of fair offers as controls, and much fewer unfair offers compared with controls. While both schizophrenic and controls acted quite the same after receiving a rejection, increasing their subsequent offer, a difference in the behavior after acceptance was prominent. The percentage of ‘non-strategic’ Proposers, as we defined those who raised their subsequent offer after an ‘accept’ response, is significantly higher among schizophrenic subjects than in controls. The lack of strategic behavior is clearly seen in the regression graph (Fig. 2b): there is no adaptation of the offer level after receiving an ‘accept’ response for the previous offer. Thus, compared with healthy controls, schizophrenic patients take less strategic advantage of their role as Proposers. Another finding is that schizophrenic Proposers' behavior was gender-dependent, as opposed to healthy controls'. Schizophrenic men were significantly more generous in their offers than schizophrenic women, whose mean offer was lower than the mean offer level of all three groups. Schizophrenic men actually offered slightly more than half the sum to their counterpart. This finding may be of interest in light of the study of Sullivan and Allen (1999), in which gender differences among schizophrenic patients in their Machiavellian tendency were shown. The term ‘Machiavellianism’ refers to one's tendency to act in a cold and manipulative manner, while reading one's counterpart's intentions in order to maximize one's payoff. The authors investigated the hypothesis that schizophrenic patients score significantly lower than healthy controls on the MACH-3 test, a questionnaire quantifying Machiavellian tendencies, initially developed by Christie and Geis (1970). This turned out to be true for schizophrenic men but not for schizophrenic women. Our findings support Sullivan and Allen's hypothesis that schizophrenic men, but not women, are relatively low-Machs. Whether and how cognitive deficits relate to high/low Mach tendencies is yet to be studied. Unlike Proposers' behavior, in which we found substantial differences between the schizophrenic patients group, depressed patients group, and the healthy control group, Responders' behavior converged during the rounds to a similar behavior on the final round. This finding resembles those of Hill and Sally (2003), who performed an UG experiment with autistic participants. In the present framework, schizophrenic patients seemed to deal with the cognition-emotion conflict described in the fMRI study of Sanfey et al. (2003) in a manner similar to that of healthy controls. However, it is important to note that the low proportion of rejections throughout the whole experiment makes this conclusion questionable. Further research is needed to verify our finding that rejection rates are the same among schizophrenic and non-schizophrenic subjects. A possible way to increase the percentage of rejections is to control the offer-level in an artificial way, hence producing lower, more ‘insulting’ offers that have a high chance of being rejected. Since the study group consisted of inpatients, we included a control group of non-schizophrenic inpatients, in addition to the healthy control group. The addition of this second control group was aimed at neutralizing the hospitalization factor in the schizophrenic group's behavior. However, the relatively small size of this group and the small rate of rejections limited our ability to draw definite conclusions from some of the statistical analyses such as regression analysis and analysis by gender. For this reason, the data drawn from the depressive group are included in only some of the conclusions presented here. Despite these limitations, this clinical control group is important in this study; in results concerning all three groups, either there is no significant difference between the groups (as in mean offer and final rejection rate), or each group is significantly different from the other (in distribution into Proposer types).Thus we believe that the hospitalization factor has been neutralized to a satisfactory degree, and there is a high probability that the behavior of schizophrenic subjects is illness specific and not merely a consequence of their state of being hospitalized. To our knowledge, this preliminary work is the first exploratory study of its kind. Albeit its limitations, significant differences between schizophrenic and control subjects playing the UG were demonstrated. Further research is needed in order to better understand these findings, particularly comparing symptom-specific groups and using measures of cognitive deficits. Hopefully, a better understanding of these aspects will enable the development of future tools for assessing schizophrenic patients' decision-making abilities, thus helping to develop novel treatment strategies for gaining successful self-maintenance of their daily life. Appendix 1.  Round number_____ Proposal form (1) Player 1 's code number_____________________ (2) Player 2 's code number____________________ (3) The sum which has to be divided_____20 NIS____ (4) Player 2 will receive_______________________ (5) Player 1 will receive (3)–(4)________________ (6) I Accept____________________I Reject______ References  Bechara et al., 1994. 1.Bechara A, Damasio AR, Damasio H, Anderson S. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50:7–12. MEDLINE |
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Wider et al., 1998. 21.Wider KE, Weinberger DR, Goldberg TE. Operant conditioning and the orbitofrontal cortex in schizophrenic patients: unexpected evidence for intact functioning. Schizophrenia Research. 1998;3:169–174. a The Raymond and Beverly Sackler Faculty of Exact Sciences, School of Mathematical Sciences, Tel-Aviv University, Ramat Aviv, Israel b The Sackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Israel c Shalvata Mental Health Center, P.O.Box 94, Hod-Hasharon, 45100, Israel Corresponding author. Day Care Unit, “Shalvata” Mental Health Center, P.O. Box 94, Hod-HaSharon 45100, Israel. Tel.: +972 9 7478570, +972 50 590 7061 (Mobile); fax: +972 9 7478674.
PII: S0165-1781(06)00106-5 doi:10.1016/j.psychres.2006.03.026 © 2006 Elsevier Ireland Ltd. All rights reserved. | |
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