An Overview of Possibilistic Handling of Default Reasoning, with Experimental Studies

This paper first provides a brief survey of a possibilistic handling of default rules. A set of default rules of the form, “generally, from α deduce β”, is viewed as the family of possibility distributions satisfying constraints expressing that the situation where α and β is true has a greater plausibility than the one where a and - β is true. When considering only the subset of linear possibility distributions, the well-known System P of postulates proposed by Kraus, Lehmann and Magidor, has been obtained. We also present two rational extensions: one based on the minimum specificity principle and the other is based on the lexicographic ordering. The second part of the paper presents an empirical study of three desirable properties for a consequence relation that capture default reasoning: Rationality, Property Inheritance and Ambiguity Preservation. An experiment is conducted to investigate 13 patterns of inference for the test of these properties. Our experimental apparatus confirms previous results on the relevance of System P, and enforces the psychological relevance of the studied properties.     

Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles

Science and Engineering Ethics - Ethical thought experiments such as the trolley dilemma have been investigated extensively in the past, showing that humans act in utilitarian ways, trying to cause...     

Scoring Depression on a Common Metric: A Comparison of EAP Estimation,Plausible Value Imputation,and Full Bayesian IRT Modeling

There are a growing number of item response theory (IRT) studies that calibrate different patient-reported outcome (PRO) measures, such as anxiety, depression, physical function, and pain, on common, instrument-independent metrics. In the case of depression, it has been reported that there are considerable mean score differences when scoring on a common metric from different, previously linked instruments. Ideally, those estimates should be the same. We investigated to what extent those differences are influenced by different scoring methods that take into account several levels of uncertainty, such as measurement error (through plausible value imputation) and item parameter uncertainty (through full Bayesian IRT modeling). Depression estimates from different instruments were more similar, and their corresponding confidence/credible intervals were larger when plausible value imputation or Bayesian modeling was used, compared to the direct use of expected a posteriori (EAP) estimates. Furthermore, we explored the use of Bayesian IRT models to update item parameters based on newly collected data.     

Analysis of Variance Models with Stochastic Group Weights

The analysis of variance (ANOVA) is still one of the most widely used statistical methods in the social sciences. This article is about stochastic group weights in ANOVA models – a neglected aspect in the literature. Stochastic group weights are present whenever the experimenter does not determine the exact group sizes before conducting the experiment. We show that classic ANOVA tests based on estimated marginal means can have an inflated type I error rate when stochastic group weights are not taken into account, even in randomized experiments. We propose two new ways to incorporate stochastic group weights in the tests of average effects – one based on the general linear model and one based on multigroup structural equation models (SEMs). We show in simulation studies that our methods have nominal type I error rates in experiments with stochastic group weights while classic approaches show an inflated type I error rate. The SEM approach can additionally deal with heteroscedastic residual variances and latent variables. An easy-to-use software package with graphical user interface is provided.     

Creating new social identities in children through critical multicultural media: the case of Little Bill

Multicultural education emerged from the political struggles of the 1960s and 1970s and advocated the inclusion of women and ethnic and racial groups in school curricula and children's media. Recently multiculturalism has evolved to include a critical perspective by focusing on stigmatized social identities such as race, class, sexuality, ethnicity, and disability. Little Bill, a children's animated television series, is an example of applied critical multiculturalism. In this chapter, we present a case study of one episode, "A Ramp for Monty," to illustrate the merits of this approach, which may increase the number of social identities children relate to and increase the degree of understanding they may bring to the differences inherent in social identities.     

Period basin of entrainment for unintentional visual coordination

Researchers have demonstrated that a person's rhythmic movements can become unintentionally entrained to another person's rhythmic movements or an environmental event. There are indications, however, that in both cases the likelihood of entrainment depends on the difference between the uncoupled periods of the two rhythms. The authors examined the range of period differences over which unintentional visual coordination might occur in 16 participants (Experiment 1) and 15 participants (Experiment 2). Cross-spectral coherence analysis and the distribution of continuous relative phase revealed that visual entrainment decreased as the difference between participants' preferred period and the experimenter-determined period of the environmental stimulus increased. The present findings extend the dynamical systems perspective on person-environment coupling and highlight the significance of period difference to the emergence of unintentional coordination.     

Social validation in group decision-making: Differential effects on the decisional impact of preference-consistent and preference-inconsistent information

Shared information has a stronger impact on group decisions than unshared information. A prominent explanation for this phenomenon is that shared information can be socially validated during group discussion and, hence, is perceived as more accurate and relevant than unshared information. In the present study we argue that this explanation only holds for preference-inconsistent information (i.e., information contradicting the group members’ initial preferences) but not for preference-consistent information. In Experiments 1 and 2 participants studied the protocol of a fictitious group discussion. In this protocol, we manipulated which types of information were socially validated. As predicted, social validation increased the decisional impact of preference-inconsistent but not preference-consistent information. In both experiments the effect of social validation was mediated by the perceived quality of information. Experiment 3 replicated the results of the first two experiments in an interactive setting in which two confederates discussed a decision case face-to-face with one participant.     

You Can Lead An Ape To A Tool But...: A Review Of Povinelli’s Folk Physics For Apes: The Chimpanzee’s Theory Of How The World Works.

We reviewed Daniel Povinelli's book, Folk physics for apes: The chimpanzee's theory of how the world works. After a summary of the book's contents, we analyzed two sets of experiments on chimpanzees' folk psychology: one that explored whether chimpanzees understand that others see (i.e., that apes have internal visual experiences) and another that examined whether chimpanzees can distinguish intended from unintended actions. The conceptual scaffolding on which these studies were conceived was sufficiently faulty that their outcomes were virtually assured a priori. We then analyzed two sets of experiments on chimpanzees' folk physics, reinforcing our view that conceptual confusion guaranteed that certain key predictions about the outcome of these studies could not be supported. A unifying reason for this conceptual confusion is that the author devalues understanding that results from programmatic conditioning. We closed the review by relating Povinelli's findings and conclusions to behavior analysis and by explaining why behavior analysts should read this book     

Coping with loneliness in old age: a cross-cultural comparison

The present study is an examination of the influence of cultural background on the ways in which the aged cope with loneliness. Thirty-six participants from Canada and 105 from Portugal (60-83 years old) answered an 86-item questionnaire which examined thebeneficial strategies which they used to cope with loneliness. The strategies which were examined included Acceptance and Reflection, Self-Development and Understanding, Social Support Network, Distancing and Denial, Religion and Faith, and Increased Activity. Results indicated that the elderly of the two cultures differ on three subscales. Gender differences between and within cultures were also examined.