THE ROAD IS MADE BY WALKING: AN INTRODUCTION

We are living in a time of unprecedented challenges: human activity is now the primary driver shaping the planet and we are perilously close to breaching a variety of critical planetary boundaries—a prelude to the possible extinction of our species. How should we be thinking and acting—as persons, communities, institutions and societies—so as to best understand and respond to these challenges? What contribution can the field of science and religion make to develop the knowledge needed to negotiate the civilizational transition we face? Such questions were addressed through a series of dialogues at the 62nd annual conference of the Institute on Religion in an Age of Science in June of 2016—“How Can We Know? Co‐Creating Knowledge in Perilous Times.” This essay sets the background to these challenges and introduces the set of articles in this themed section.     

The influence of attachment and temperament on venipuncture distress in 14-month-old infants: the Generation R Study

Objective

This study examined the effects of attachment and temperament on infant distress during venipuncture.

Method

The study was embedded in the Generation R Study, a prospective population-based study. Two different research procedures (i.e., blood sampling and the Ainsworth Strange Situation Procedure) yielded measures of venipuncture distress and attachment security and disorganization in 246 infants aged 14 months. Four temperament traits (distress to limitations, fear, recovery from distress, and sadness) were assessed using the maternally reported Infant Behavior Questionnaire - Revised, at the age of 6 months.

Results

There were no differences between mean levels of distress during venipuncture in infants classified as having insecure attachment, but there was a trend for disorganized attachment. The temperament traits were not related to distress. However, children with a disorganized attachment and higher temperamental fear had more venipuncture distress.

Conclusion

When different risk factors are present simultaneously, infant distress is heightened.     

Self-Judgments of Accuracy as Indicators of Performance Evaluation Quality: Should We Believe Them?

Purpose  

This paper explores how well raters’ self-judgments of their rating and behavioral accuracy reflect reality. We also explore the role of motivation in determining the quality of raters’ self-judgments and their rating and behavioral accuracy.     

The Impossibility of Emergent Conscious Causal Powers

This paper argues that emergent conscious properties can't bestow emergent causal powers. It supports this conclusion by way of a dilemma. Necessarily, an (allegedly efficacious) emergent conscious property brings about its effects actively or other than actively (in senses explained in the paper). If actively, then, the paper argues, the emergent conscious property can't have causal powers at all. And if other than actively, then, the paper argues, the emergentist finds himself committed to incompatible accounts of causation.     

Ability, breadth, and parsimony in computational models of higher-order cognition

Computational models will play an important role in our understanding of human higher‐order cognition. How can a model's contribution to this goal be evaluated? This article argues that three important aspects of a model of higher‐order cognition to evaluate are (a) its ability to reason, solve problems, converse, and learn as well as people do; (b) the breadth of situations in which it can do so; and (c) the parsimony of the mechanisms it posits. This article argues that fits of models to quantitative experimental data, although valuable for other reasons, do not address these criteria. Further, using analogies with other sciences, the history of cognitive science, and examples from modern‐day research programs, this article identifies five activities that have been demonstrated to play an important role in our understanding of human higher‐order cognition. These include modeling within a cognitive architecture, conducting artificial intelligence research, measuring and expanding a model's ability, finding mappings between the structure of different domains, and attempting to explain multiple phenomena within a single model.     

Adolescent well‐being and supporting contexts: A comparison of adolescents in Ireland and Florida

The purpose of this research was to examine the extent to which social support and wider community perceptions/engagements among adolescents are connected with well‐being. We compared adolescents in two different societal contexts, Florida in the United States and County Offaly, in Ireland, and posed the questions: What are the key predictors of subjective well‐being from the various sources of support, and to what extent does the impact of social support on well‐being vary across these two societies? Questionnaires were completed and returned for 607 respondents (322 in the Irish study and 285 in the Florida study). A variety of scales were adopted and designed to operationalize our key concepts of: Adolescent well‐being, social support, school satisfaction, neighbourhood quality of life and community/voluntary participation. Our results indicate that informal social support and school satisfaction were the strongest predictors of youth well‐being in both locations, despite some differences in terms of individual influencing variables. From informal sources, emotional support from friends and advice/concrete/esteem support from parents emerged as important predictive dimensions. Liking school, perceptions of doing well in school were the main predictors of school satisfaction in Ireland while, in Florida, student camaraderie and the experience of bullying emerged as significant. Copyright © 2009 John Wiley & Sons, Ltd.     

Acquisition of hierarchical reactive skills in a unified cognitive architecture

In this paper, we review Icarus, a cognitive architecture that utilizes hierarchical skills and concepts for reactive execution in physical environments. In addition, we present two extensions to the framework. The first involves the incorporation of means-ends analysis, which lets the system compose known skills to solve novel problems. The second involves the storage of new skills that are based on successful means-ends traces. We report experimental studies of these mechanisms on three distinct domains. Our results suggest that the two methods interact to acquire useful skill hierarchies that generalize well and that reduce the effort required to handle new tasks. We conclude with a discussion of related work on learning and prospects for additional research, including extending the framework to cover developmental phenomena.