Navigating two-dimensional mazes: chimpanzees (Pan troglodytes) and capuchins (Cebus apella sp.) profit from experience differently

We examined whether navigation is impacted by experience in two species of nonhuman primates. Five chimpanzees (Pan troglodytes) and seven capuchin monkeys (Cebus apella) navigated a cursor, using a joystick, through two-dimensional mazes presented on a computer monitor. Subjects completed 192 mazes, each one time. Each maze contained one to five choices, and in up to three of these choices, the correct path required moving the cursor away from the Euclidean direction toward the goal. Some subjects completed these mazes in a random order (Random group); others in a fixed order by ascending number of choices and ascending number of turns away from goal (Ordered group). Chimpanzees in both groups performed equivalently, demonstrated fewer errors and a higher rate of self-correcting errors with increasing experience at solving the mazes, and made significantly fewer errors than capuchin monkeys. Capuchins were more sensitive to the mode of presentation than chimpanzees; monkeys in the Ordered group made fewer errors than monkeys in the Random group. However, capuchins’ performance across testing changed little, and they remained particularly susceptible to making errors when the correct path required moving away from the goal. Thus, these two species responded differently to the same spatial challenges and same learning contexts. The findings indicate that chimpanzees have a strong advantage in this task compared to capuchins, no matter how the task is presented. We suggest that differences between the species in the dynamic organization of attention and motor processes contribute to their differences in performance on this task, and predict similar differences in other tasks requiring, as this one does, sustained attention to a dynamic visual display and self-produced movements variably towards and away from a goal.     

A tutorial on partially observable Markov decision processes

The partially observable Markov decision process (POMDP) model of environments was first explored in the engineering and operations research communities 40 years ago. More recently, the model has been embraced by researchers in artificial intelligence and machine learning, leading to a flurry of solution algorithms that can identify optimal or near-optimal behavior in many environments represented as POMDPs. The purpose of this article is to introduce the POMDP model to behavioral scientists who may wish to apply the framework to the problem of understanding normative behavior in experimental settings. The article includes concrete examples using a publicly-available POMDP solution package.     

The development and coherence of future-oriented behaviors during the preschool years

Although previous research has identified a number of interesting aspects of future thinking in adults, little is known about the developmental trajectory and coherence of future-oriented behaviors during early childhood. The primary goal of this study was to explore these issues by administering a battery of tasks assessing different aspects of future thinking, including mental time travel, delay of gratification, planning, and prospective memory, to 72 preschoolers. Results revealed that performance on all of the tasks increased significantly between 3 and 5 years of age. Although most tasks were correlated, suggesting “behavioral” coherence, many of these significant correlations dropped out once age and receptive vocabulary were controlled. These results are discussed with respect to theories about, and measurement of, future orientation.     

If you plan,then you can: How reflection helps defensive pessimists pursue their goals

This research examines how the two propensities that underlie defensive pessimism (pessimism and reflection) operate independently to influence the defensive pessimistic process. It investigates the hypothesis that the propensity to reflect, or plan, counteracts the detrimental effects of pessimism by encouraging not only planning, but also the pursuit of those plans. Consistent with these predictions, two studies revealed that the propensity to reflect helped defensive pessimists pursue their plans by (a) increasing goal importance, (b) promoting effort, (c) raising initial expectations, and (d) buffering the anticipated sting of failure. Pessimism hindered performance by increasing anxiety and lowering expectations. Thus, the propensity to reflect counteracts pessimism by not only promoting planning, but also processes that help the pursuit of those plans.

Planning and preparatory actions facilitate physical activity maintenance

ObjectiveMany people do not behave in line with their self-imposed goal to be more physically active. To bridge this intention–behavior gap, detailed planning is regarded as being instrumental. Moreover, preparatory actions are supposed to facilitate physical activity in conjunction with planning. Thus, preparatory actions are seen as mediators between intention and behaviors. The present study examines whether intention is translated into physical activity stepwise via planning as well as via preparatory actions.DesignAt three points in time, physical activity, planning, preparatory actions, and the intention to be physically active were assessed in 338 participants.MethodsBy means of structural equation modeling, it was examined whether the pathway from intention to physical activity includes a mediating sequence of planning as well as preparatory actions.ResultsThe sequential mediation model confirmed pathways from intention to planning, from planning to preparatory behaviors, and from preparatory behaviors to follow-up physical activity, while controlling for baseline indicators. Furthermore, there was an indirect effect of intention on preparatory actions via planning, an indirect effect of planning on physical activity via preparatory actions, and an indirect effect of intention on physical activity via planning and preparatory actions thus, confirming the hypothesized sequence.ConclusionsIndividuals who are motivated to be physically active are likely to make a plan, and if they do so, they are more likely to take preparatory actions, resulting in a higher chance to perform the target behavior.     

Where to look for information when planning scientific research in Psychology: Sources and channels

It is imperative that researchers invest time in the planning of their research, and it is certainly essential to stop and seek information before making any kind of decision. The present work sets out to guide psychologists in this crucial task. To this end we begin by suggesting a visit to the APA website, where a great deal of relevant information on most topics can be found, whether it pertains to new and controversial issues or to those on which there is greater consensus. In this regard we shall consider at length the meanings of the expressions “evidence-based practice” and “scientific evidence” and their inherent methodological aspects, from “scientific evidence” contributed by systematic reviews to the way it can be obtained using handbooks and guidelines of inestimable value for the successful completion of our research. All such resources will help researchers to set out their hypotheses correctly, to test them adequately and to analyze the data in the most appropriate and rigorous fashion. In this way, the quality of the research will undoubtedly improve.     

Intention,Emotion, and Action: A Neural Theory Based on Semantic Pointers

We propose a unified theory of intentions as neural processes that integrate representations of states of affairs, actions, and emotional evaluation. We show how this theory provides answers to philosophical questions about the concept of intention, psychological questions about human behavior, computational questions about the relations between belief and action, and neuroscientific questions about how the brain produces actions. Our theory of intention ties together biologically plausible mechanisms for belief, planning, and motor control. The computational feasibility of these mechanisms is shown by a model that simulates psychologically important cases of intention.     

Confirmatory factor analysis on separability of planning and insight constructs

This study aimed to investigate the separability of planning, a form of noninsight problem solving, from insight problem solving by means of using confirmatory factor analysis (CFA). The relationships of these two types of problem-solving tasks with meta-cognitive awareness were also assessed. Participants performed a set of planning tasks, a set of insight tasks and a self-report inventory on metacognitive ability. The CFA results revealed that planning and insight problem solving were closely related constructs and were not clearly separable. Model comparisons indicated that the fit of the alternative one-factor model was slightly better than the fit of the two-factor model. The correlational results showed that both planning task performance and insight problem-solving performance had no correlations with the metacognitive knowledge or the metacognitive regulation components of the metacognitive awareness inventory.