Dev E-R: A computational model of early cognitive development as a creative process

This paper describes a computational model named Dev E-R (Developmental Engagement-Reflection) that, inspired by Piaget’s theory, simulates the assimilation-accommodation adaptation process. It is implemented with a new extended version of the computational model of creativity known as Engagement-Reflection. That is, this model simulates adaptation as a creative activity. We introduce here the implementation of our model on an agent that is initialized with basic reflex conducts and that through the interaction with a 3D virtual world, it is able to build new behaviors autonomously. The new acquired skills, according to Piaget’s theory, are typically observed in children that have reached the second substage of the sensorimotor period.     

Identifying expectations about the strength of causal relationships

When we try to identify causal relationships, how strong do we expect that relationship to be? Bayesian models of causal induction rely on assumptions regarding people’s a priori beliefs about causal systems, with recent research focusing on people’s expectations about the strength of causes. These expectations are expressed in terms of prior probability distributions. While proposals about the form of such prior distributions have been made previously, many different distributions are possible, making it difficult to test such proposals exhaustively. In Experiment 1 we used iterated learning—a method in which participants make inferences about data generated based on their own responses in previous trials—to estimate participants’ prior beliefs about the strengths of causes. This method produced estimated prior distributions that were quite different from those previously proposed in the literature. Experiment 2 collected a large set of human judgments on the strength of causal relationships to be used as a benchmark for evaluating different models, using stimuli that cover a wider and more systematic set of contingencies than previous research. Using these judgments, we evaluated the predictions of various Bayesian models. The Bayesian model with priors estimated via iterated learning compared favorably against the others. Experiment 3 estimated participants’ prior beliefs concerning different causal systems, revealing key similarities in their expectations across diverse scenarios.     

The response dynamics of preferential choice

The ubiquity of psychological process models requires an increased degree of sophistication in the methods and metrics that we use to evaluate them. We contribute to this venture by capitalizing on recent work in cognitive science analyzing response dynamics, which shows that the bearing information processing dynamics have on intended action is also revealed in the motor system. This decidedly “embodied” view suggests that researchers are missing out on potential dependent variables with which to evaluate their models—those associated with the motor response that produces a choice. The current work develops a method for collecting and analyzing such data in the domain of decision making. We first validate this method using widely normed stimuli from the International Affective Picture System (Experiment 1), and demonstrate that curvature in response trajectories provides a metric of the competition between choice options. We next extend the method to risky decision making (Experiment 2) and develop predictions for three popular classes of process model. The data provided by response dynamics demonstrate that choices contrary to the maxim of risk seeking in losses and risk aversion in gains may be the product of at least one “online” preference reversal, and can thus begin to discriminate amongst the candidate models. Finally, we incorporate attentional data collected via eye-tracking (Experiment 3) to develop a formal computational model of joint information sampling and preference accumulation. In sum, we validate response dynamics for use in preferential choice tasks and demonstrate the unique conclusions afforded by response dynamics over and above traditional methods.     

Network Hubs and Opportunity for Complex Thinking Among Young British Muslims

This study examines whether individuals in a network esteem peers who think in integratively complex ways about religious issues in the context of a small‐group educational course comprised of young British Muslims. Integrative complexity (IC) measures the degree to which an individual's information processing is characterized by (a) rigid, black‐and‐white thinking or (b) ability to recognize the validity of, and integrate, multiple perspectives. A novel measurement procedure was developed for this research called the Social Field Generator. Results from seven groups (n = 55) showed that (a) participants with levels of IC were described by their peers with more positive sentiment than their low‐IC counterparts; (b) the higher the IC scores of participants, the closer peers felt toward them; and (c) the highest IC individuals were consistently selected as sources of advice, whereas the lowest IC individuals were not viewed as sources of advice. This research shows that within an educational environment aimed at promoting complex thinking, group processes and grassroots religious leadership can encourage higher levels of IC as a group norm.     

Sequential Aiming with Two Limbs and the One-Target Advantage

Movement times to the first target in a 2-target sequence are typically slower than in 1-target aiming tasks. The 1-target movement time advantage has been shown to emerge regardless of hand preference, the hand used, the amount of practice, and the availability of visual feedback. The authors tested central and peripheral explanations of the 1-target advantage, as postulated by the movement integration hypothesis, by asking participants to perform single-target movements, 2-target movements with 1 limb, and 2-target movements in which they switched limbs at the first target. Reaction time and movement time data showed a 1-target advantage that was similar for both 1- and 2-limb sequential aiming movements. This outcome demonstrates that the processes underlying the increase in movement time to the 1st target in 2-target sequences are not specific to the limb, suggesting that the 1-target advantage originates at a central rather than a peripheral level.     

Functions of Clinical Psychological Service in California Juvenile and Adult Courts

Subjects provided free responses to six concepts representing varying degrees of involvement. Responses were obtained from each subject under normal and negative affect conditions. Group data were used. Under negative affect conditions, significant correlations were found between concept involvement and type/token ratio (TTR), tokens per type, response variation index (RVI), and total types. Correlations were in the direction of increased redundancy as involvement decreased and, conversely, increased response variation as involvement increased. These relationships held only under negative affect conditions. Implications were discussed for the problems of communication under negative affect conditions and the assessment of individuals’ internal states from verbal behavior. Finally, a sociolinguistic view of the “language community” concept was offered.     

The synergetic principles of nonlinear thinking

In order to develop further the methods of scenario building and to facilitate the paths towards a desirable and sustainable future, we cannot do without a nonlinear evolutionary thinking. The theory of self‐organization of complex systems, called also synergetics, is a scientific basis for such a thinking, the main principles of which are under consideration in the paper. Synergetics provides us with the knowledge of constructive principles of coevolution of complex social systems, coevolution of countries and geopolitical regions being at different stages of development, integration of the East and the West, the North and the South.     

Canada 2001: Alternative futures for the Canadian communities

The global “problématique humaine” is described in terms of the “grand issues” of population, resources, development in the rich and poor countries, and the environment. Three competing paradigms about the future and their implications for the Canadian communities are examined, and a model is offered showing interrelationships between the different Canadian communities, organizational levels, and various societal/environmental activities. A comprehensive programme of future‐oriented studies is proposed.

This article is a shortened version of a monograph to appear as one of a series entitled Queen's Studies of the Future of the Canadian Communities, published by the Institute of Intergovernmental Relations, Queen's University, Kingston, Ontario. The research was funded by the Donner Canadian Foundation.     

The New Sacred Math

The individual soul is an ageless idea, attested in prehistoric times by the oral traditions of all cultures. But as far as we know, it enters history in ancient Egypt. I will begin with the individual soul in ancient Egypt, then recount the birth of the world soul in the Pythagorean community of ancient Greece, and trace it through the Western Esoteric Tradition until its demise in Kepler's writings, along with the rise of modern science, around 1600 CE. Then I tell of the rebirth of the world soul recently, in new branches of mathematics.