Myths, models, and metaphors: Religion as model and the philosophy of science

Clifford Geertz's widely-used paper ‘Religion as a Cultural System’, makes the claim that ‘the importance of religion lies in its capacity to serve … as a source of general, yet distinctive conceptions of the world, the self and the relations between them …—its model of aspect—and of rooted, no less distinctive “mental” dispositions—its model for aspect’. However, apart from a highly critical article by Nancy Frankenberry and Hans Penner (1999) little attempt has been made to investigate this understanding of religion as model. This paper briefly considers the validity of Frankenberry and Penner's criticism and investigates possible applications of the elaborate analysis of models and metaphors in the philosophy of science since the time of Mary Hesse to the analysis of religious phenomena.     

Self-Interest, Symbolic Attitudes, and Support for Public Policy: A Multilevel Analysis

This paper examines the role of self-interest and symbolic attitudes as predictors of support for two domestic policy issues—guaranteed jobs and incomes and national health insurance—in the American National Election Survey (ANES) between 1972 and 2004. As was the case in 1976 when Sears, Lau, Tyler, and Allen (1980 ) first explored this topic, symbolic attitudes continue to be much more important predictors of policy attitudes than various indicators of self-interest over the 30 years we analyze. We explore this finding further to determine whether any individual/internal and external/contextual variables affect the magnitude of self-interest effects on policy support. Five possible internal moderators of self-interest effects are examined: (1) political knowledge, (2) issue publics, (3) political values, (4) social identifications, and (5) emotions, but none are found to boost the magnitude of the self-interest effect. However, we do find some evidence that contextual variables representing the social/information environment moderate the impact of self-interest on public opinion.     

Models of Psychotherapy: Implications for Pastoral Care Practice

Pastoral care givers are called to provide care and counseling to parishioners that are suffering in many ways. A core question is what does a pastor rely on to provide this care? Pastors usually call on models of psychotherapy to inform their care giving. A framework of theological anthropology, cosmology, soteriology and harmatiology is developed for analyzing the worldviews inherent in models of psychotherapy. The specific models of Adler’s Individual Psychology, Narrative therapy, Horney’s personality theory, and Intersubjective theory are used to demonstrate the application of this framework. Several pastoral care implications are developed following the application of the framework.     

The evolution of frequency distributions: Relating regularization to inductive biases through iterated learning

The regularization of linguistic structures by learners has played a key role in arguments for strong innate constraints on language acquisition, and has important implications for language evolution. However, relating the inductive biases of learners to regularization behavior in laboratory tasks can be challenging without a formal model. In this paper we explore how regular linguistic structures can emerge from language evolution by iterated learning, in which one person’s linguistic output is used to generate the linguistic input provided to the next person. We use a model of iterated learning with Bayesian agents to show that this process can result in regularization when learners have the appropriate inductive biases. We then present three experiments demonstrating that simulating the process of language evolution in the laboratory can reveal biases towards regularization that might not otherwise be obvious, allowing weak biases to have strong effects. The results of these experiments suggest that people tend to regularize inconsistent word-meaning mappings, and that even a weak bias towards regularization can allow regular languages to be produced via language evolution by iterated learning.     

Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables

This paper uses log-linear models with latent variables (Hagenaars, in Loglinear Models with Latent Variables, 1993) to define a family of cognitive diagnosis models. In doing so, the relationship between many common models is explicitly defined and discussed. In addition, because the log-linear model with latent variables is a general model for cognitive diagnosis, new alternatives to modeling the functional relationship between attribute mastery and the probability of a correct response are discussed.     

Software Tools in Logic Education: Some Examples

Computers are increasingly present in education and make manyresources and activities available to teachers and pupils. Newpedagogical resources development is very interesting for both.Our digital library Summa Logicae is overtly involved in innovationand pedagogical systematization. It includes some software toolsfor teaching logic developed by computer science students, andin this article we present two of these tools. The MAFIA toolis especially attractive for first year students and helps themto understand the basic concepts of logic in an interactiveway using sematic tableaux. It also allows them to solve thecrazy cases in Mafia which their fellow students from previousyears proposed. The Modelos de Kripke tool, oriented to a moreadvanced level, serves for understanding the link between theproperties of the accessibility relation and the modal formulas,which is at the basis of the current developments of modal logic.     

Psychology's limits as a scientific discipline: A personal view

I provided a more personal view of Wachtel's (1980) article. I began by discussing the extent to which my own research program complied with his distinctive recommendations. After offering a different take on the impact of high productivity, I focused on (a) the negative effects of the quest for extramural funding and (b) the positive effects of a better balance between theoretical and empirical contributions. I then turn to some of my own theoretical and empirical studies of the place that theory has in successful science. This research suggests that theory only has a beneficial effect when it is integrative in function and when it is closely constrained by available data. I end with a speculation regarding the value of having theories that are maximally formal, even mathematical.     

Responsibility and obsessive-compulsive disorder: an experimental test

To test the causal status of responsibility in obsessive-compulsive disorder (OCD), an experiment was executed in which responsibility was experimentally manipulated. OCD patients, non-OCD anxiety controls, and non-patients executed a classification task in either a high or a low responsibility (LoRes) condition. Subjective ratings related to danger and responsibility indicated that the manipulation was successful. Subjective OCD-like experiences and checking behaviors were higher in OCD patients in the high responsibility (HiRes) condition than in all other groups. Although the checking subscale of the Padua Inventory correlated with subjective ratings in the OCD patients in the HiRes condition, it was not associated with checking behaviors. The results confirm the hypothesis that responsibility plays a causal role in OCD.     

Rapid learning of syllable classes from a perceptually continuous speech stream

To learn a language, speakers must learn its words and rules from fluent speech; in particular, they must learn dependencies among linguistic classes. We show that when familiarized with a short artificial, subliminally bracketed stream, participants can learn relations about the structure of its words, which specify the classes of syllables occurring in first and last word positions. By studying the effect of familiarization length, we compared the general predictions of associative theories of learning and those of models postulating separate mechanisms for quickly extracting the word structure and for tracking the syllable distribution in the stream. As predicted by the dual-mechanism model, the preference for structurally correct items was negatively correlated with the familiarization length. This result is difficult to explain by purely associative schemes; an extensive set of neural network simulations confirmed this difficulty. Still, we show that powerful statistical computations operating on the stream are available to our participants, as they are sensitive to co-occurrence statistics among non-adjacent syllables. We suggest that different learning mechanisms analyze speech on-line: A rapid mechanism extracting structural information about the stream, and a slower mechanism detecting statistical regularities among the items occurring in it.     

时间因素对空间维度非线索更新的影响

采用实时窗口阅读技术,探讨文本阅读中时间因素在情境模型空间维度非线索更新中的作用。被试阅读角色在空间转换中插入时间间隔的短文,并对其间的物体进行再认探测。结果表明,在文本叙述中,如果在角色空间位置转换之后,增添一定的时间间隔,则可以促进相应空间设置内物体的非线索更新,并且,不同的时间间隔所起的作用是不同的。