The paper extends research on fixed-pie perceptions by suggesting that disputants may prefer proposals that are perceived to be equally attractive to both parties (i.e., balanced) rather than one-sided, because balanced agreements are seen as more likely to be successfully implemented. We test our predictions using data on Israeli support for the Geneva Accords, an agreement for a two state solution negotiated by unofficial delegations of Israel and the Palestinian Authority in 2003. The results demonstrate that Israelis are more likely to support agreements that are seen favorably by other Israelis, but — contrary to fixed-pie predictions — Israeli support for the accords does not diminish simply because a majority of Palestinians favors (rather than opposes) the accords. We show that implementation concerns create a demand among Israelis for balance in the degree to which each side favors (or opposes) the agreement. The effect of balance is noteworthy in that it creates considerable support for proposals even when a majority of Israelis and Palestinians oppose the deal.

The Food and Drug Administration (FDA) warned against administering over-the-counter cough and cold medicines to children under 2. This study evaluated whether experienced parents show poorer adherence to the FDA warning, as safe experiences are predicted to reduce the impact of warnings, and how adherence can be improved. Participants included 218 American parents (mean age: 29.98 (SD = 6.16), 82.9% female) with children age ≤ 2 who were aware of the FDA warning. We compared adherence among experienced (N=142; with other children > age 2) and inexperienced parents (N=76; only children ≤2). We also evaluated potential moderating variables (amount of warning-related information received, prevalence of side effects, trust in the FDA, frequency of coughs and colds, trust in drug packaging) and quantified the impact of amount of information. Logistic regression assessed the ability of experience alone, and experience combined with amount of information, to predict adherence. 53.3% of inexperienced but 28.4% of experienced parents were adherent (p = 0.0003). The groups did not differ on potential moderating variables. Adherence was 39.5% among experienced parents receiving “a lot of information”, but 15.4% for those receiving less (p = 0.002); amount of information did not affect adherence in inexperienced parents (p = 0.22) but uniquely predicted adherence compared to a model with experience alone (p = 0.0005). Experienced parents were also less likely to mistrust drug packaging (p = 0.03). Targeting FDA information to experienced parents, particularly via drug packaging, may improve their adherence.

An important open problem is how values are compared to make simple choices. A natural hypothesis is that the brain carries out the computations associated with the value comparisons in a manner consistent with the Drift Diffusion Model (DDM), since this model has been able to account for a large amount of data in other domains. We investigated the ability of four different versions of the DDM to explain the data in a real binary food choice task under conditions of high and low time pressure. We found that a seven-parameter version of the DDM can account for the choice and reaction time data with high-accuracy, in both the high and low time pressure conditions. The changes associated with the introduction of time pressure could be traced to changes in two key model parameters: the barrier height and the noise in the slope of the drift process.

Participants drank either regular root beer or sugar-free diet root beer before working on a probability-learning task in which they tried to predict which of two events would occur on each of 200 trials. One event (E1) randomly occurred on 140 trials, the other (E2) on 60. In each of the last two blocks of 50 trials, the regular group matched prediction and event frequencies. In contrast, the diet group predicted E1 more often in each of these blocks. After the task, participants were asked to write down rules they used for responding. Blind ratings of rule complexity were inversely related to E1 predictions in the final 50 trials. Participants also took longer to advance after incorrect predictions and before predicting E2, reflecting time for revising and consulting rules. These results support the hypothesis that an effortful controlled process of normative rule-generation produces matching in probability-learning experiments, and that this process is a function of glucose availability.

Economist Frank H. Knight (1885–1972) is commonly credited with defining the distinction between decisions under “risk” (known chance) and decisions under “uncertainty” (unmeasurable probability) in his 1921 book Risk, Uncertainty and Profit. A closer reading of Knight (1921) reveals a host of psychological insights beyond this risk-uncertainty distinction, many of which foreshadow revolutionary advances in psychological decision theory from the latter half of the 20th century. Knight’s description of economic decision making shared much with Simon’s (1955, 1956) notion of bounded rationality, whereby choice behavior is regulated by cognitive and environmental constraints. Knight described features of risky choice that were to become key components of prospect theory (Kahneman & Tversky, 1979): the reference dependent valuation of outcomes, and the non-linear weighting of probabilities. Knight also discussed several biases in human decision making, and pointed to two systems of reasoning: one quick, intuitive but error prone, and a slower, more deliberate, rule-based system. A discussion of Knight’s potential contribution to psychological decision theory emphasises the importance of a historical perspective on theory development, and the potential value of sourcing ideas from other disciplines or from earlier periods of time.