《易数钩隐图》作者等问题辨

自南宋时起,《易数钩隐图》一书的作者就有二字与二籍贯的争议。本文就有关问题进行了考辨。得出北宋有二刘牧、前刘牧著《易数钩隐图》、黄黎献为之续补等结论。最后指出,彭城刘牧的道学思想应当在宋明理学中占有一席之地。     

Offline: The possible effects of Internet-related behavior on work values,expectations, & behavior among Ultra-Orthodox millennials

ABSTRACT

This work examines differences in the work-related values, expectations, and behaviors between millennials who are significant users of technology and social media, and those who are not. We delineate the development of millennial behavior using a unique group of millennials, those in the Ultra-Orthodox Jewish (known as “Haredi”) community in Israel. Due to religious and community norms, many Haredi millennials were shielded from digital technology, and particularly the Internet and the various technologies associated with it, such as text messaging and social media. Those who were raised and remained in Haredi communities did not encounter the Internet with any regularity as children. Many as adults are still unfamiliar with social media. Thus, this community presents a unique natural experiment, comparing Haredi millennials who are immersed in social media with those who are not.     

Irrelevant speech and serial recall: Implications for theories of attention and working memory

Irrelevant speech markedly impairs serial recall of visually presented lists, even though the person is asked to ignore the speech. In this, the first major review of the phenomenon, we conclude that (i) the effect occurs in memory rather than at encoding; (ii) within memory, the disruption occurs as a result of a confluence of information at the phonological rather than at the articulatory stage of coding; (iii) speech does not have privileged access to memory, since its disruptive effects may be attenuated by habituation; and (iv) disruption occurs as a result of the changing state of the auditory channel, not as had previously been thought the phonological similarity of visual and auditory streams, and is particularly sensitive to pitch changes in both speech and non-speech stimuli. These conclusions are discussed in the light of two complementary theoretical constructs: a cascading filter system responsible for the access of speech to memory and a system of coding within memory sensitive to changing state of the stream responsible for disruption of serial order. Recommendations are made also for empirical work to refine these constructs.     

Constructing the exact significance level for a person fit statistic

This paper uses an extension of the network algorithm originally introduced by Mehta and Patel to construct exact tail probabilities for testing the general hypothesis that item responses are distributed according to the Rasch model. By assuming that item difficulties are known, the algorithm is applicable to the statistical tests either given the maximum likelihood ability estimate or conditioned on the total score. A simulation study indicates that the network algorithm is an efficient tool for computing the significance level of a person fit statistic based on test lengths of 30 items or less.     

Aristotle and the tradition of rhetorical argumentation

The first part of this paper contends that argumentation is central and essential to Aristotle's Rhetoric, and recounts a number of arguments in support of that view, particularly the recognition that deliberative rhetoric or the rhetoric of counsel is the primary concern of Aristotle's work. The second part of the paper reviews the work that follows in this present volume to show that the other writers' views fit in perfectly with this thesis.     

Parallel distributed processing and neuropsychology: A neural network model of Wisconsin card sorting and verbal fluency

Neural networks can be used as a tool in the explanation of neuropsychological data. Using the Hebbian Learning Rule and other such principles as competition and modifiable interlevel feedback, researchers have successfully modeled a widely used neuropsychological test, the Wisconsin Card Sorting Test. One of these models is reviewed here and extended to a qualitative analysis of how verbal fluency might be modeled, which demonstrates the importance of accounting for the attentional components of both tests. Difficulties remain in programming sequential cognitive processes within a parallel distributed processing (PDP) framework and integrating exceedingly complex neuropsychological tests such as Proverbs. PDP neural network methodology offers neuropsychologists co-validation procedures within narrowly defined areas of reliability and validity.     

Influential observations in principal factor analysis

We propose a method for detecting influential observations in iterative principal factor analysis. For this purpose we derive the influence functionsI(x; LL ^T ) andI(x; ) for the common variance matrixT =LL ^T and the unique variance matrix , respectively, in the common factor decomposition =LL ^T + . A numerical example is given for illustration.The authors are grateful to Tomoyuki Tarumi and Atsuhiro Hayashi for their kind permission to use their software Seto/B for drawing Figures 1 and 2 and to anonymous reviewers for comments on the paper.     

TOWARD A NEW RELATION BETWEEN HUMANITY AND NATURE: RECONSTRUCTING T'IEN-JEN-HO-I

Abstract. The traditional Chinese idea of t'ien-jen-ho-i (Heaven and humanity in union) implies that humanity has to live in harmony with nature. As science and technology progress, however, the idea appears increasingly outmoded, and it becomes fashionable to talk about overcoming nature. Ironically, though, the further science reaches the more clearly are its limitations exposed. The exploitation of nature not only endangers many life forms on earth but threatens the very existence of the human species. I propose that a reconstruction of the traditional Chinese idea of T'ien-jen-ho-i will help us envisage a new and salutary relation between humanity and nature.     

Connectionist models of conditioning: A tutorial

Models containing networks of neuron-like units have become increasingly prominent in the study of both cognitive psychology and artificial intelligence. This article describes the basic features of connectionist models and provides an illustrative application to compound-stimulus effects in respondent conditioning. Connectionist models designed specifically for operant conditioning are not yet widely available, but some current learning algorithms for machine learning indicate that such models are feasible. Conversely, designers for machine learning appear to have recognized the value of behavioral principles in producing adaptive behavior in their creations.     

Expectations,procedural justice,and alternative reactions to being deprived of a desired outcome

People often find that they do not have some positive outcome they once expected to obtain, while others around them have attained that outcome. Two experiments were conducted to assess how four possible responses to such a situation are affected by procedural justice (i.e., the fairness of the procedures by which the object was denied) and by one's expectations about obtaining the outcome in the future. The four possible responses examined were anger responses, achievement strivings, devaluation of the object (X), and self-deprecation. A repeated-measures analysis revealed that the dependent variables were differentially affected in Study 1, but less so in Study 2. Analyses further revealed effects of procedural justice, such that unfair procedures led to more anger, lower achievement strivings, greater devaluation of X, and (in Study 1 only) marginally less self-deprecation. Expectations had only a marginal affect on achievement strivings in Study 1, and an effect on self-deprecation in Study 2, with higher expectations leading to lower achievement strivings and less self-deprecation, respectively. Procedural justice and expectations interacted to affect subjects' derogation of the agent who deprived them (Study 1) and their devaluation of X (Study 2). Implications for future research and for theoretical development are discussed.