Azzurra Ruggeri

Children adapt their questions to achieve efficient search

One way to learn about the world is by asking questions. We investigate how younger children (7- to 8-year-olds), older children (9- to 11-year-olds), and young adults (17- to 18-year-olds) ask questions to identify the cause of an event. We find a developmental shift in childrens reliance on hypothesis-scanning questions (which test hypotheses directly) versus constraint-seeking questions (which reduce the space of hypotheses), but also that all age groups ask more constraint-seeking questions when hypothesis-scanning questions are least likely to pay off: When the solution is one among equally likely alternatives (Study 1) or when the problem is difficult (Studies 1 and 2). These findings are the first to demonstrate that even young children dynamically adapt their strategies for inquiry to increase the efficiency of information search.

The development of adaptive decision making: Recognition-based inference in children and adolescents

Judgments about objects in the world are often based on probabilistic information (or cues). A frugal judgment strategy that utilizes memory (i.e., the ability to discriminate between known and unknown objects) as a cue for inference is the recognition heuristic (RH). The usefulness of the RH depends on the structure of the environment, particularly the predictive power (validity) of recognition. Little is known about developmental differences in use of the RH. In this study, the authors examined (a) to what extent children and adolescents recruit the RH when making judgments, and (b) around what age adaptive use of the RH emerges. Primary schoolchildren (M = 9 years), younger adolescents (M = 12 years), and older adolescents (M = 17 years) made comparative judgments in task environments with either high or low recognition validity. Reliance on the RH was measured with a hierarchical multinomial model. Results indicated that primary schoolchildren already made systematic use of the RH. However, only older adolescents adaptively adjusted their strategy use between environments and were better able to discriminate between situations in which the RH led to correct versus incorrect inferences. These findings suggest that the use of simple heuristics does not progress unidirectionally across development but strongly depends on the task environment, in line with the perspective of ecological rationality. Moreover, adaptive heuristic inference seems to require experience and a developed base of domain knowledge. (PsycINFO Database Record

Beyond Idea Generation: The Power of Groups in Developing Ideas

Brainstorming research has claimed that individuals are more creative than groups. However, these conclusions are largely based on measuring creativity by the number of ideas generated, and researchers have tended to neglect other important components of creativity, such as the quality of developed ideas. These studies aim to address this gap in the literature and investigate how well individuals and groups develop ideas. The first study compared collaborative groups, nominal groups (i.e., groups composed of individuals working separately), and individuals on developing an original design for a language-learning game. No differences were revealed between conditions on the game ratings. In the second study, one idea was preselected and given to the participants for further development. Groups received higher ratings in the marketability and overall categories than both nominal groups and individuals, and higher ratings in the fun category than individuals. The qualitative data showed that groups discussed a wider range of topics and topics related to marketability more than individuals did. Thus it appears that there are benefits to developing ideas in a collaborative group rather than individually. Possible explanations for the present findings are explored.

Finding a Good Research Question, in Theory

![Figure][1] CREDIT: [ISTOCKPHOTO.COM][2] Newton needed an apple, Franklin a flash, Galileo a telescope, and Archimedes a crown. What do these people have in common? They observed a phenomenon that they could not explain, devoted their lives to investigating it, and in doing so achieved

Why is Toma late to school again? Preschoolers identify the most informative questions

The current study investigates whether preschoolers are able to successfully identify the most effective among given questions, adapting their reliance on different types of questions (constraint-seeking vs. hypothesis-scanning) based on the quantitative measure of expected information gain. Children were presented with storybooks describing the reasons why a fictional character, Toma, was late to school over several days. In 3 experiments with 5-year-old children, we manipulated the frequency and likelihoods of the reasons presented. Children were asked to identify which of 2 given questions would be more effective in finding out why Toma was late to school again. In a fourth experiment, we investigated whether preschoolers are adaptive learners, that is, whether they can identify the most effective question iteratively, and we extended our investigation to younger preschoolers (3- and 4-year-olds). We find that children assessed the effectiveness of different types of questions based on the hypothesis space currently under consideration, and this adaptation may be guided by expected information gain. Overall, our results suggest that over the preschool years, children begin to develop the computational foundations that support successful question-asking strategies.

When Dread Risks Are More Dreadful than Continuous Risks: Comparing Cumulative Population Losses over Time

People show higher sensitivity to dread risks, rare events that kill many people at once, compared with continuous risks, relatively frequent events that kill many people over a longer period of time. The different reaction to dread risks is often considered a bias: If the continuous risk causes the same number of fatalities, it should not be perceived as less dreadful. We test the hypothesis that a dread risk may have a stronger negative impact on the cumulative population size over time in comparison with a continuous risk causing the same number of fatalities. This difference should be particularly strong when the risky event affects children and young adults who would have produced future offspring if they had survived longer. We conducted a series of simulations, with varying assumptions about population size, population growth, age group affected by risky event, and the underlying demographic model. Results show that dread risks affect the population more severely over time than continuous risks that cause the same number of fatalities, suggesting that fearing a dread risk more than a continuous risk is an ecologically rational strategy.

Active function learning

How do people actively explore to learn about functional relationships, that is, how continuous inputs map onto continuous outputs? We introduce a novel paradigm to investigate information search in continuous, multi-feature function learning scenarios. Participants either actively selected or passively observed information to learn about an underlying linear function. We develop and compare different variants of rule-based (linear regression) and non-parametric (Gaussian process regression) active learning approaches to model participants’ active learning behavior. Our results show that participants’ performance is best described by a rule-based model that attempts to efficiently learn linear functions with a focus on high and uncertain outcomes. These results advance our understanding of how people actively search for information to learn about functional relations in the environment.

Searching for rewards like a child means less generalization and more directed exploration

How do children and adults differ in their search for rewards? We consider three different hypotheses that attribute developmental differences to either childrens increased random sampling, more directed exploration towards uncertain options, or narrower generalization. Using a search task in which noisy rewards are spatially correlated on a grid, we compare 55 younger children (age 7–8), 55 older children (age 9–11), and 50 adults (age 19–55) in their ability to successfully generalize about unobserved outcomes and balance the exploration-exploitation dilemma. Our results show that children explore more eagerly than adults, but obtain lower rewards. Building a predictive model of search to disentangle the unique contributions of the three hypotheses of developmental differences, we find robust and recoverable parameter estimates indicating that children generalize less and rely on directed exploration more than adults. We do not, however, find reliable differences in terms of random sampling.

Opening the cuebox: The information children and young adults generate and rely on when making inferences from memory

We used a cue-generation and a cue-selection paradigm to investigate the cues children (9- to 12-year-olds) and young adults (17-year-olds) generate and select for a range of inferences from memory. We found that children generated more cues than young adults, who, when asked why they did not generate some particular cues, responded that they did not consider them relevant for the task at hand. On average, the cues generated by children were more perceptual but as informative as the cues generated by young adults. When asked to select the most informative of two cues, both children and young adults tended to choose a hidden (i.e., not perceptual) cue. Our results suggest a developmental change in the cuebox (i.e., the set of cues used to make inferences from memory): New cues are added to the cuebox as more cues are learned, and some old, perceptual cues, although informative, are replaced with hidden cues, which, by both children and young adults, are generally assumed to be more informative than perceptual cues.