Chunking, rule learning, and multiple item memory in rat interleaved serial pattern learning

Nonhuman animals, like humans, appear sensitive to the structure of the elements of sequences, perhaps even when the structure relates nonadjacent elements. In the present study, we examined the contribution of chunking, rule learning, and item memory when rats learned serial patterns composed of two interleaved subpatterns. In one group, the first interleaved subpattern was a formally simple sequence, whereas in two other groups the first subpattern was formally more complex, containing 2 or 4 violation elements, respectively. In all groups, the second interleaved subpattern encountered was formally simple. Evidence from the study suggests that rats chunked their interleaved patterns into component subpatterns, that is, they cognitively sorted pattern elements to form chunks based on nonadjacent structural relationships that can be characterized as rules. They also learned interitem associations via traditional discrimination learning to use adjacent elements as compound or configural cues for later events in the sequence. Thus, the evidence suggests that rats used chunking, rule learning, and interitem association learning concurrently to master these complex patterns.     

The changing face of Chinese immigrants in Canada

This paper analyzes the changing characteristics of Chinese immigrants to Canada between 1980 and 2001. It reveals that recent Chinese immigrants to Canada constitute a substantially different group from those of former years. They are no longer a homogeneous group from the rural areas of Mainland China, but in fact citizens of 132 countries, speaking 100 different languages and dialects. This study also reveals significant differences among Chinese subgroups. Given Canada’s time dependent immigration selection procedures, these differences are rationalized on the basis of a proposed single and double selection theory.     

Overconfidence and underconfidence: When and why people underestimate (and overestimate) the competition

It is commonly held that people believe themselves to be better than others, especially for outcomes under their control. However, such overconfidence is not universal. This paper presents evidence showing that people believe that they are below average on skill-based tasks that are difficult. A simple Bayesian explanation can account for these effects and for their robustness: On skill-based tasks, people generally have better information about themselves than about others, so their beliefs about others’ performances tend to be more regressive (thus less extreme) than their beliefs about their own performances. This explanation is tested in two experiments that examine these effects’ robustness to experience, feedback, and market forces. The discussion explores the implications for strategic planning in general and entrepreneurial entry in particular.     

Not so above average after all: When people believe they are worse than average and its implications for theories of bias in social comparison

Recent research calls into question the generally accepted conclusion that people believe themselves to be better than average. This paper reviews the new theories that have been proposed to explain the fact that better-than-average effects are isolated to common behaviors and abilities, and that people believe themselves to be below average with respect to rare behaviors and uncommon abilities. These new theories are then used to revisit prior findings of better-than-average effects. When viewed in light of recent work, the evidence suggests that prior findings overstated the degree to which people engage in self-enhancement by believing that they are better than others when in fact they are not. Prior studies have often confounded desirability with commonness and have used subjective measures of comparative judgment that capitalize on people’s tendency to conflate relative with absolute self-evaluation.     

A multilevel study of leadership, empowerment, and performance in teams

A multilevel model of leadership, empowerment, and performance was tested using a sample of 62 teams, 445 individual members, 62 team leaders, and 31 external managers from 31 stores of a Fortune 500 company. Leader-member exchange and leadership climate related differently to individual and team empowerment and interacted to influence individual empowerment. Also, several relationships were supported in more but not in less interdependent teams. Specifically, leader-member exchange related to individual performance partially through individual empowerment; leadership climate related to team performance partially through team empowerment; team empowerment moderated the relationship between individual empowerment and performance; and individual performance was positively related to team performance. Contributions to team leadership theory, research, and practices are discussed.     

Multi-Modal CTL: Completeness,Complexity, and an Application

We define a multi-modal version of Computation Tree Logic (ctl) by extending the language with path quantifiers E ^δ and A ^δ where δ denotes one of finitely many dimensions, interpreted over Kripke structures with one total relation for each dimension. As expected, the logic is axiomatised by taking a copy of a ctl axiomatisation for each dimension. Completeness is proved by employing the completeness result for ctl to obtain a model along each dimension in turn. We also show that the logic is decidable and that its satisfiability problem is no harder than the corresponding problem for ctl. We then demonstrate how Normative Systems can be conceived as a natural interpretation of such a multi-dimensional ctl logic. Presented by Jacek Malinowski     

Gender Differences in the Relationship Between Academic Self-Concept and Self-Reported Depressed Mood in School Children

In light of literature highlighting gender differences related to academic self-concept and depressed mood, this study explored the contributions of academic self-concept in individual subject areas to self-reported depressed mood in 86 elementary-age boys and girls from a province in central Canada. Results indicated that academic self-concept explained 68% and 62% of the variance in self-reported depressed mood for boys and girls, respectively. Separate analyses conducted for boys and girls indicated disparate predictive models that cohered with gender stereotypic self-perceptions: math for boys and reading for girls. Interestingly, physical education emerged as a significant contributor for boys and girls. Results are discussed in terms of the importance of addressing the relationship between children’s social-emotional self-perceptions and academic self-concept within domain-specific lenses.     

Effects of task difficulty on use of advice

Although prior studies have found that people generally underweight advice from others, such discounting of advice is not universal. Two studies examined the impact of task difficulty on the use of advice. In both studies, the strategy participants used to weigh advice varied with task difficulty even when it should not have. In particular, the results show that people tend to overweight advice on difficult tasks and underweight advice on easy tasks. This pattern held regardless of whether advice was automatically provided or whether people had to seek it out. The paper discusses implications for the circumstances under which people will be open to influence by advisors. Copyright © 2006 John Wiley & Sons, Ltd.