Ramón D. Castillo

Generality of the summation effect in human causal learning

Considerable research has examined the contrasting predictions of the elemental and configural association theories proposed by Rescorla and Wagner (1972) and Pearce (1987), respectively. One simple method to distinguish between these approaches is the summation test, in which the associative strength attributed to a novel compound of two separately trained cues is examined. Under common assumptions, the configural view predicts that the strength of the compound will approximate to the average strength of its components, whereas the elemental approach predicts that the strength of the compound will be greater than the strength of either component. Different studies have produced mixed outcomes. In studies of human causal learning, Collins and Shanks (2006) suggested that the observation of summation is encouraged by training, in which different stimuli are associated with different submaximal outcomes, and by testing, in which the alternative outcomes can be scaled. The reported experiments further pursued this reasoning. In Experiment 1, summation was more substantial when the participants were trained with outcomes identified as submaximal than when trained with simple categorical (presence/absence) outcomes. Experiments 2 and 3 demonstrated that summation can also be obtained with categorical outcomes during training, if the participants are encouraged by instruction or the character of training to rate the separately trained components with submaximal ratings. The results are interpreted in terms of apparent performance constraints in evaluations of the contrasting theoretical predictions concerning summation.

Beliefs as Self-Sustaining Networks: Drawing Parallels Between Networks of Ecosystems and Adults' Predictions.

In this paper, we argue that beliefs share common properties with the self-sustaining networks of complex systems. Matching experiences are said to couple with each other into a mutually reinforcing network. The goal of the current paper is to spell out and develop these ideas, using our understanding of ecosystems as a guide. In Part 1 of the paper, we provide theoretical considerations relevant to this new conceptualization of beliefs, including the theoretical overlap between energy and meaning. In Part 2, we discuss the implications of this new conceptualization on our understanding of belief emergence and belief change. Finally, in Part 3, we provide an analytical mapping between beliefs and the self-sustaining networks of ecosystems, namely by applying to behavioral data a measure developed for ecosystem networks. Specifically, average accuracies were subjected to analyses of uncertainty (H) and average mutual information. The ratio between these two values yields degree of order, a measure of how organized the self-sustained network is. Degree of order was tracked over time and compared to the amount of explained variance returned by a categorical non-linear principal components analysis. Finding high correspondence between the two measures of order, together with the theoretical groundwork discussed in Parts 1 and 2, lends preliminary validity to our theory that beliefs have important similarities to the structural characteristics of self-sustaining networks.

Dynamic structure of joint-action stimulus-response activity.

The mere presence of a co-actor can influence an individual’s response behavior. For instance, a social Simon effect has been observed when two individuals perform a Go/No-Go response to one of two stimuli in the presence of each other, but not when they perform the same task alone. Such effects are argued to provide evidence that individuals co-represent the task goals and the to-be-performed actions of a co-actor. Motivated by the complex-systems approach, the present study was designed to investigate an alternative hypothesis — that such joint-action effects are due to a dynamical (time-evolving) interpersonal coupling that operates to perturb the behavior of socially situated actors. To investigate this possibility, participants performed a standard Go/No-Go Simon task in joint and individual conditions. The dynamic structure of recorded reaction times was examined using fractal statistics and instantaneous cross-correlation. Consistent with our hypothesis that participants responding in a shared space would become behaviorally coupled, the analyses revealed that reaction times in the joint condition displayed decreased fractal structure (indicative of interpersonal perturbation processes modulating ongoing participant behavior) compared to the individual condition, and were more correlated across a range of time-scales compared to the reaction times of pseudo-pair controls. Collectively, the findings imply that dynamic processes might underlie social stimulus-response compatibility effects and shape joint cognitive processes in general.

The embodiment of time estimation

In this essay, we explain time estimation on the basis of principles of self-organization. Timing behavior can be seen as an outcome of the coupling and coordination across physiological events, overt behavior, and task demands. Such coupling reveals itself in scaling relations known as fractal patterns. The self-organization hypothesis posits a coherent relation between frequency and amplitude of change, as a single coordinated unity, that possess fractal features. Empirical data lend support of this hypothesis, initiating a discussion on how fractal properties of time estimation can be altered by the interplay of voluntary and involuntary control of behavior.

Can a Flow-Network Approach Shed Light on Children's Problem Solving?

A complete theory of human behavior must capture both the apparent randomness of behavior (its strong context dependence) as well as its stability (a surprising resistance to changes in behavior despite salient changes in the context). Recent efforts in cognitive science have made important discoveries toward such a theory, emphasizing the idea that skilled behavior seeks to balance overregular tendencies with tendencies that are overrandom. The hallmark of these efforts is the idea of self-organized criticality, the state of a system poised toward maximally adaptive behavior, characterized by pink-noise pattern of variability. In this article, we expand these efforts, looking for a new measure to capture the balance between order and disorder, one that can be applied to small data sets of categorical performance. The proposed measure borrows ideas from information theory, previously applied to the stability of energy flow in an ecosystem. Using published data on a problem-solving task with preschoolers, we describe ways in which this measure could be applied. Results are promising, opening the possibility for studying the trade-off between randomness and stability in childrens reasoning.

Diseño y Validación de una Escala de Competencia Comunicativa y Social para Niños

Resumen es: Se exponen los resultados del diseno y validacion de la escala de competencia comunicativa y social (ECCSO) en 1673 ninos chilenos entre 9 y 15 anos de e...

Estrategias de Codificación de Estímulos en el Aprendizaje Causal Humano

Segun el enfoque elementalista del aprendizaje asociativo, los estimulos compuestos equivalen a la suma de sus componentes, mientras que para el enfoque configuracional los estimulos son todos indivisibles. Estos enfoques se distinguen con la prueba de sumatoria, en la que se examina si la fuerza asociativa de un compuesto novedoso AB supera (elementalismo) o es igual (configuracionalismo) a la de sus elementos previamente entrenados por separado. Esta investigacion demuestra que las personas suman cuando no tienen informacion previa de AB (Experimento 1), pero no suman cuando tienen esta informacion (Experimento 2). Los Experimentos 3 y 4 no apoyan la hipotesis que la ausencia de sumatoria se deba a procesos controlados. Se analizan teorias de codificacion flexible. Palabras clave: condicionamiento clasico, aprendizaje causal, codificacion de estimulos. According to the elemental approach of associative learning, compound stimuli are equivalent to the sum of their components, while for the configurational approach, compounds are indivisible wholes. These approaches are distinguished by the summation test, which examines whether the associative strength of a novel AB compound is higher (elementalism) or equal (configurationalism) than that of its separately trained elements. In the present research, evidence of summation was found when people have no prior experience with AB (Experiment 1), but there was no summation when information about AB was available (Experiment 2). Experiments 3 and 4 do not support the hypothesis that the absence of summation could be due to controlled processing. Theories of flexible coding are analyzed.

Hands-on experience can lead to systematic mistakes: A study on adults’ understanding of sinking objects

In line with theories of embodied cognition, hands-on experience is typically assumed to support learning. In the current paper, we explored this issue within the science domain of sinking objects. Adults had to make a guess about which of two objects in a pair would sink faster. The crucial manipulation was whether participants were handed real-life objects (real-objects condition) or were shown static images of objects (static-images condition). Results of Experiment 1 revealed more systematic mistakes in the real-objects than the static-images condition. Experiment 2 investigated this result further, namely by having adults make predictions about sinking objects after an initial training. Again, we found that adults made more mistakes in the real-objects than the static-images condition. Experiment 3 showed that the negative effect of hands-on experiences did not influence later performance. Thus, the negative effects of hands-on experiences were short-lived. Even so, our results call into question an undifferentiated use of manipulatives to convey science concepts. Based on our findings, we suggest that a nuanced theory of embodied cognition is needed, especially as it applies to science learning.

Long-range correlations and patterns of recurrence in children and adults' attention to hierarchical displays

In order to make sense of a scene, a person must pay attention to several levels of nested order, ranging from the most differentiated details of the display to the integrated whole. In adults, research shows that the processes of integration and differentiation have the signature of self-organization. Does the same hold for children? The current study addresses this question with children between 6 and 9 years of age, using two tasks that require attention to hierarchical displays. A group of adults were tested as well, for control purposes. To get at the question of self-organization, reaction times were submitted to a detrended fluctuation analysis and a recurrence quantification analysis. H exponents show a long-range correlations (1/f noise), and recurrence measures (percent determinism, maximum line, entropy, and trend), show a deterministic structure of variability being characteristic of self-organizing systems. Findings are discussed in terms of organism-environment coupling that gives rise to fluid attention to hierarchical displays.