A generalized linear factor model approach to the hierarchical framework for responses and response times

We show how the hierarchical model for responses and response times as developed by van der Linden (2007), Fox, Klein Entink, and van der Linden (2007), Klein Entink, Fox, and van der Linden (2009), and Glas and van der Linden (2010) can be simplified to a generalized linear factor model with only the mild restriction that there is no hierarchical model at the item side. This result is valuable as it enables all well‐developed modelling tools and extensions that come with these methods. We show that the restriction we impose on the hierarchical model does not influence parameter recovery under realistic circumstances. In addition, we present two illustrative real data analyses to demonstrate the practical benefits of our approach.     

Transference and katharsis,Freud to Aristotle

Aristotle's theory of tragic katharsis is the most ancient and debated theory of the effect of the theatrical experience on the audience. It affirms that tragedy effects the katharsis of fear and pity, engaging readers with the controversy whether by katharsis Aristotle meant purification of the emotions (i.e. their perfection within the mind) or purification of the mind from the emotions (i.e. their abreaction from the mind). In this paper I will explore how Freud's theory of transference can suggest a new interpretation of Aristotle's tragic katharsis. Transference allows for the representation and expression of repressed emotions through the re‐enactment of past relational dynamics. Although this process is essential to the psychoanalytic method, it is the subsequent analytic endeavour which allows for the “working through” of repressed emotions, bringing into effect the transference cure. I argue that the dynamic between emotional arousal in re‐enactment and emotional distancing in analysis offers an effective parallel of the dynamic between katharsis of fear and katharsis of pity in Aristotle's theory. Such interpretation of tragic katharsis suggests that the theatrical effect in audiences may be an opportunity for self‐analysis and the ‘working through’ of unconscious psychic dynamics.     

Learning a Generative Probabilistic Grammar of Experience: A Process‐Level Model of Language Acquisition

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural‐language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach.     

JEAB Research Over Time: Species Used,Experimental Designs,Statistical Analyses,and Sex of Subjects

We examined the species used as subjects in every article published in the Journal of the Experimental Analysis of Behavior (JEAB) from 1958 through 2013. We also determined the sex of subjects in every article with human subjects (N = 524) and in an equal number of randomly selected articles with nonhuman subjects, as well as the general type of experimental designs used. Finally, the percentage of articles reporting an inferential statistic was determined at 5-year intervals. In all, 35,317 subjects were studied in 3,084 articles; pigeons ranked first and humans second in number used. Within-subject experimental designs were more popular than between-subjects designs regardless of whether human or nonhuman subjects were studied but were used in a higher percentage of articles with nonhumans (75.4 %) than in articles with humans (68.2 %). The percentage of articles reporting an inferential statistic has increased over time, and more than half of the articles published in 2005 and 2010 reported one. Researchers who publish in JEAB frequently depart from Skinner’s preferred research strategy, but it is not clear whether such departures are harmful. Finally, the sex of subjects was not reported in a sizable percentage of articles with both human and nonhuman subjects. This is an unfortunate oversight.     

顿悟体验的心理与神经机制

顿悟体验研究是揭示顿悟本质的重要途径。先前研究从认知角度对顿悟问题解决中的"旧而无效解题思路如何抛弃"与"新而有效解题思路如何形成"过程进行了颇多探讨,但较少探讨顿悟体验本身。顿悟体验研究对理清创造性顿悟中关键过程间的关系及阐明顿悟的科学规律均有重要的意义。基于创造性顿悟的"新旧交替"的动态视角,本项目拟借助多元方法来对言语类和视图类问题解决过程中尝试解题阶段和答案闪现阶段的顿悟体验的心理实质与脑机制进行研究。本项目成果不仅可以丰富和优化顿悟问题研究的方法学体系,而且能从知情转化层面深化对创造性顿悟脑机制的认识。     

Cross‐Situational Learning of Minimal Word Pairs

Cross‐situational statistical learning of words involves tracking co‐occurrences of auditory words and objects across time to infer word‐referent mappings. Previous research has demonstrated that learners can infer referents across sets of very phonologically distinct words (e.g., WUG, DAX), but it remains unknown whether learners can encode fine phonological differences during cross‐situational statistical learning. This study examined learners’ cross‐situational statistical learning of minimal pairs that differed on one consonant segment (e.g., BON–TON), minimal pairs that differed on one vowel segment (e.g., DEET–DIT), and non‐minimal pairs that differed on two or three segments (e.g., BON–DEET). Learners performed above chance for all pairs, but performed worse on vowel minimal pairs than on consonant minimal pairs or non‐minimal pairs. These findings demonstrate that learners can encode fine phonetic detail while tracking word‐referent co‐occurrence probabilities, but they suggest that phonological encoding may be weaker for vowels than for consonants.     

Knowledge and assertion in “Gettier” cases

Assertion is fundamental to our lives as social and cognitive beings. By asserting, we share knowledge, coordinate behavior, and advance collective inquiry. Accordingly, assertion is of considerable interest to cognitive scientists, social scientists, and philosophers. This paper advances our understanding of the norm of assertion. Prior evidence suggests that knowledge is the norm of assertion, a view known as “the knowledge account.” In its strongest form, the knowledge account says that knowledge is both necessary and sufficient for assertability: you should make an assertion if and only if you know that it is true. The knowledge account has been rejected on the grounds that it conflicts with our ordinary practice of evaluating assertions. This paper reports four experiments that address an important objection of this sort, which focuses on a class of examples known as “Gettier cases.” The results undermine the objection and, in the process, provide further evidence for the knowledge account. The findings also teach some important general lessons about intuitional methodology and the curation of genres of thought experiment.     

The existence of superluminal particles is consistent with relativistic dynamics

Within an axiomatic framework, we prove that the existence of faster than light (FTL) particles is consistent with (does not contradict) the dynamics of Einstein's special relativity. The proof goes by constructing a model of relativistic dynamics where FTL particles can move with arbitrary speeds. To have a complete picture, we not only construct an appropriate model but explicitly list all the basic assumptions (axioms) we use.