Ecological issues of justice

In the first part of this article the author explores the implications for justice of the wider range of parties holding moral standing that environmental ethics has recently disclosed. These implications concern the equitable treatment of future generations and nonhuman creatures, and are relevant both to policies, such as approaches to global warming, and procedures, which may need to be revised to give an equitable voice to unrepresented interests. Later the author considers some radical implications of regarding humanity as stewards of the planetary environment, a view defended in his recent book Creation, Evolution and Meaning. If all adult humans have this role, but many are prevented from discharging it by poverty and related constraints, then those who are thus disempowered need to be empowered to exercise this role. This requirement of equity would arise not from their moral patienthood but from what is involved in respecting them as moral agents. Some approaches to tackling global warming are considered in this connection.     

Using the process dissociation procedure to estimate recollection and familiarity in working memory: An experimental and individual differences investigation

Numerous studies have found that working memory capacity and perceptual speed predict variation in fluid intelligence. Within the cognitive ageing literature, perceptual speed accounts for substantial ageing variance in working memory capacity and fluid intelligence. However, within young adults, the interrelationships among these three abilities are less clear. The current work investigated these relationships via confirmatory factor analyses and structural equation modelling using tasks with verbal, spatial, and numerical content. The results indicate that working memory capacity and perceptual speed were not related in a large, cognitively diverse sample of young adults. However, both working memory capacity and perceptual speed accounted for unique variance in fluid intelligence. The results are discussed in relation to previous research with young and older adults.     

Face recognition as a predictor of social cognitive ability: Effects of emotion and race on face processing

The human face conveys important social signals when people interact in social contexts. The current study investigated the relationship between face recognition and emotional intelligence, and how societal factors of emotion and race influence people's face recognition. Participants’ recognition accuracy, reaction time, sensitivity, and response bias were measured to examine their face‐processing ability. Fifty Caucasian undergraduates (38 females, 12 males; average age = 21.76 years) participated in a face recognition task in which they discriminated previously presented target faces from novel distractor faces. A positive correlation between participants’ emotional intelligence scores and their performance on the face recognition task was observed, suggesting that face recognition ability was associated with emotional or social intelligence. Additionally, Caucasian participants recognized happy faces better than angry or neutral faces. It was also observed that people recognized Asian faces better than Caucasian ones, which appears to be contradictory to the classic other‐race effect. The present study suggests that some societal factors could influence face processing, and face recognition ability could in turn predict social intelligence.     

Lilliputian Computer Ethics

This essay considers some ethical issues of nanotechnology and quantum computing, particularly the issue of privacy, and questions related to artificial intelligence, implants, and virtual reality. It then examines the claim that research in this field should be halted.     

Creating in Our Own Image: Artificial Intelligence and the Image of God

There is remarkable convergence between twentieth-century interpretations of the image of God ( imago Dei ), what it means for human beings to be created in God's image, and approaches toward creating in our own image in the field of artificial intelligence (AI). Both fields have viewed the intersection between God and humanity or humanity and computers in terms of either (1) a property or set of properties such as intelligence, (2) the functions we engage in or are capable of, or (3) the relationships we establish and maintain. Each of these three approaches reflects a different understanding of what stands at the core of our humanity. Functional and relational approaches were common in the late twentieth century, with a functional understanding the one most accepted by society at large. A relational view, however, gives new insights into human dignity in a computer age as well as new approaches to AI research.     

A Better Look at Intelligence

The Planning, Attention, Simultaneous, and Successive (PASS) model is offered as an alternative to the unidimensional conceptualization of intelligence as a general ability. The unidimensional conceptualization has not helped researchers and clinicians understand variations of cognitive functions within special populations such as individuals with learning disabilities, disorders of attention, or mental retardation. Neither has this conceptualization aided in program planning for these individuals. PASS is a model of cognitive function based on contemporary research in both cognition and neuropsychology and provides a theory for both assessment and intervention. This article reviews concepts and examples of PASS theory and its application to reading disabilities and mental retardation. For example, the article links dyslexia with a deficit in successive processing. It also identifies the major difficulties of individuals with Down syndrome in phonological memory and articulation. Further research on successive processing, and planning as it relates to language, is suggested.     

Probability, logic and the cognitive foundations of rational belief

Since Pascal introduced the idea of mathematical probability in the 17th century discussions of uncertainty and “rational” belief have been dogged by philosophical and technical disputes. Furthermore, the last quarter century has seen an explosion of new questions and ideas, stimulated by developments in the computer and cognitive sciences. Competing ideas about probability are often driven by different intuitions about the nature of belief that arise from the needs of different domains (e.g., economics, management theory, engineering, medicine, the life sciences etc). Taking medicine as our focus we develop three lines of argument (historical, practical and cognitive) that suggest that traditional views of probability cannot accommodate all the competing demands and diverse constraints that arise in complex real-world domains. A model of uncertain reasoning based on a form of logical argumentation appears to unify many diverse ideas. The model has precursors in informal discussions of argumentation due to Toulmin, and the notion of logical probability advocated by Keynes, but recent developments in artificial intelligence and cognitive science suggest ways of resolving epistemological and technical issues that they could not address.     

快速节俭启发式--基于有限理性和生态理性的简单决策规则

本文阐述了德国“马克斯．普朗克人类发展研究所”以Gerd Gigerenzer教授为代表的“适应行为与认知中心”简称“ABC研究中心(组)”关于判断、推理和决策制定简单启发式研究的理论背景、研究思路和技术路线,着重介绍了该研究中心在有限理性和生态理性假设基础上提出的一系列极富创意的快速节俭启发式规则,并对围绕这些简单决策规则开展的研究活动作了简要介绍。     

The distinctiveness and utility of a measure of trait emotional awareness

There has been a proliferation of new measures of individual differences in emotional processing, but too little research that evaluates the distinctiveness and utility of such measures. We critically evaluated the Level of Emotional Awareness Scale (LEAS), which is a measure of people's awareness of emotions in both the self and others. Across two studies, university students (N=124 and 107 for study 1 and 2, respectively) completed the LEAS, as well as a battery of personality measures and ability tests, and a mood-induction task. The LEAS was statistically distinct from a wide variety of personality measures, emotional intelligence tests, and self-report ability measures. In addition, both studies demonstrated that people high in emotional awareness were less likely than others to show mood congruent biases in their judgments (e.g. when bad moods lead to negative judgments and good moods to good judgments). The LEAS appears to be both distinctive and useful in understanding mood-relevant processes.