ALTRUISM AND CHRISTIAN LOVE

Abstract. Sociobiological theories have had little impact on Christian concepts of neighbor love. Since sociobiological theories of altruism depict love as a form of egoistic interest in enhancing one's general fitness, they are often thought to contradict Christian theories of love. However, altruism as defined by sociobiology has more affinity with Roman Catholic views of Christian love as caritas than Protestant views of extreme agape. Sociobiological views of altruism may provide more updated models for defining the orders and priorities of love, which has been an important aspect of Roman Catholic ethics. The family's role in mediating between kin altruism and wider love for the community is investigated.     

Attention in visual search: Multiple search classes

Data from visual-search tasks are typically interpreted to mean that searching for targets defined by feature differences does not require attention and thus can be performed in parallel, whereas searching for other targets requires serial allocation of attention. The question addressed here was whether a parallel-serial dichotomy would be obtained if data were collected using a variety of targets representing each of several kinds of defining features. Data analyses included several computations in addition to search rate: (1) target-absent to target-present slope ratios; (2) two separate data transformations to control for errors; (3) minimum reaction time; and (4) slopes of standard deviation as a function of set size. Some targets showed strongly parallel or strongly serial search, but there was evidence for several intermediate search classes. Sometimes, for a given target-distractor pair, the results depended strongly on which character was the target and which was the distractor. Implications from theories of visual search are discussed.     

An information theory analysis of visual complexity and dissimilarity

The subjective complexity of a computer-generated bitmap image can be measured by magnitude estimation scaling, and its objective complexity can be measured by its compressed file size. There is a high correlation between these measures of subjective and objective complexity over a large set of marine electronic chart and radar images. The subjective dissimilarity of a pair of bitmap images can be predicted from subjective and objective measures of the complexity of each image, and from the subjective and objective complexity of the image produced by overlaying the two simple images. In addition, the subjective complexity of the image produced by overlaying two simple images can be predicted from the subjective complexity of the simple images and the subjective dissimilarity of the image pair. The results of the experiments that generated these complexity and dissimilarity judgments are consistent with a theory, outlined here, that treats objective and subjective measures of image complexity and dissimilarity as vectors in Euclidean space.     

More Than Happy to Help? Customer‐Focused Emotion Management Strategies

This paper investigates the impact of customer service representative (CSR) customer‐focused emotion management strategies on expressed customer emotions, beyond the influences of emotional contagion. We propose that problem‐focused strategies (situation modification and cognitive change) are likely to reduce the intensity of negative customer emotions and increase the intensity of positive customer emotions, whereas emotion‐focused strategies (attentional deployment and modulating the emotional response) will have the opposite impact. Further, we propose that customer negative emotions will affect the choice of strategies CSRs employ. Based on evaluator ratings of recorded customer service calls (N= 228), our findings confirmed the positive effects of problem‐focused strategies and the negative effects of emotion‐focused strategies on customer‐expressed emotions. In addition, we found that initial customer emotions affected the strategy used by the CSR, whereby negative emotions expressed by the customer reduced the use of the most effective strategy and increased the use of the least effective strategy.     

As easy to memorize as they are to classify: The 5–4 categories and the category advantage

Recently, it has been suggested that some categories commonly used in category learning research are eliciting primarily item-level memorization strategies. A new measure of generalization, the category advantage, was introduced and used to test performance on the popular "5-4" categories. To estimate a category advantage, performance on a standard category learning task is compared with performance in an identification task, where participants learn a unique response to each stimulus. Once corrected for differences in chance expectancy, the advantage shown for the category learning task represents the degree to which participants capitalize on the natural similarity structure of the categories. In Experiment 1, the category advantage measure was validated on structured and unstructured categories. In Experiments 2 and 3, the 5-4 categories failed to produce a category advantage when tested with either of two stimulus types, suggesting that these categories elicit predominantly memorization.     

A simple introduction to Markov Chain Monte–Carlo sampling

Markov Chain Monte–Carlo (MCMC) is an increasingly popular method for obtaining information about distributions, especially for estimating posterior distributions in Bayesian inference. This article provides a very basic introduction to MCMC sampling. It describes what MCMC is, and what it can be used for, with simple illustrative examples. Highlighted are some of the benefits and limitations of MCMC sampling, as well as different approaches to circumventing the limitations most likely to trouble cognitive scientists.