Heuristics

Simple Heuristics
Transformative Decisions
The Development of Adaptive Choice Behavior

Simple Heuristics

For decades, behavioral decision-making research has documented departures from "rational" choice in highly abstract laboratory tasks. Variously labeled cognitive illusions, biases, or anomalies, these seemingly irrational choices have been found in studies using monetary lotteries with known outcomes and probabilities, brief text vignettes, or stylized strategic games. Yet most real decisions—from crossing a busy street to choosing a new life path—rarely resemble such tasks. When deciding whether to emigrate, leave a profession, end a long-term relationship, have a child, or choose a risky medical treatment, people face uncertainty and the possibility of entirely unexpected surprises. They need cognitive tools for choosing without reliable knowledge of outcomes or their probabilities—and without certainty about what their future selves will value.

To overcome the constraints that abstract laboratory tasks impose on theory and experiment, ARC pursues three lines of research: (1) studying decisions from experience (see Learning), (2) examining human foraging and decision-making in the wild (see Collective Intelligence), and (3) developing simple heuristics for navigating choices under uncertainty—the focus of this section.

Transformative Decisions

Transformative decisions—such as whether to emigrate, disclose one's sexual orientation, divorce, or report a sexual assault—can reshape the course of a life (Hechtlinger et al., 2026). These decisions can yield radically new experiences and profoundly change the self. Building on bounded and ecological rationality, ARC proposes a framework with five dimensions of transformative decisions: conflicting cues, change of self, uncertain experiential value, irreversibility, and risk.

This framework specifies simple, versatile strategies tailored to the five dimensions, including breaking the decision into steps, avoiding direct trade-offs between present and future selves, and sampling others' experiences. Figure 1 illustrates how these strategies address the five dimensions, providing benchmarks for assessing the rationality of transformative choices. Methodologically, the framework enables empirical analysis of real-world decisions using natural language processing. This, in turn, is a first step toward more psychologically realistic theories of how people make transformative decisions. ARC is currently conducting multisite studies across four continents, including with special samples such as war refugees from Ukraine, to test the framework. In parallel, ARC researchers are investigating extraordinary choices under extreme conditions—acts of civic heroism such as refusing orders to target civilians, sheltering persecuted minorities, or testifying against powerful figures despite personal risk.

Key Reference

The Development of Adaptive Choice Behavior

Across the lifespan, people make repeated decisions between options, from choosing what to read at bedtime to selecting a route to work in the morning. Previous research on repeated choices often focused on adults and ecologically implausible statistical task structures. But how much life experience is needed to choose adaptively in environments that better resemble real-world properties?

In a study of adults and children aged 3–11 years, Thoma et al. (2025) connected research on ecologically rational repeated choices in adulthood with investigations into the benefits of cognitive immaturity in childhood. This latter tradition asks under what conditions the cognitive capacities and limitations inherent to childhood provide adaptive advantages. The authors examined how adults and children aged 3–11 years use choice diversification and maximizing strategies across different statistical environments (Figure 2 shows an example of a task).

Behavioral and computational modeling analyses provided converging evidence for perseveration tendencies in 3- to 4-year-olds—irrespective of whether this behavior maximized reward—and the development of adaptive choice diversification from age 6 years onward (Figure 3). However, in contrast to adults, children's emerging adaptivity was constrained by their tendency for exploration. These findings suggest that simple heuristics—such as using maximizing as a satisficing strategy or using probability matching to diversify choices—develop early in life. Yet their adaptive use in an ecologically plausible environment seems to require the interplay between increasing experience with typical choice ecologies and developing cognitive abilities.

Key Reference