A Grim Semantics For Logics of Belief

Patrick Grim has presented arguments supporting the intuition that any notion of a totality of truths is incoherent. We suggest a natural semantics for various logics of belief which reflect Grim’s intuition. The semantics is a topological semantics, and we suggest that the condition can be interpreted to reflect Grim’s intuition. Beyond this, we present a natural canonical topological model for K4 and KD4.     

Generalized concepts of syntactically and semantically trivial differences and instant-based and period-based time ontologies

It is argued that there are interesting cases in which two axiomatic systems syntactically and semantically non-trivially different in the standard sense are rather to be classified as only trivially different. For a strict comparison of the systems of such a kind the generalized concepts of syntactically and semantically trivial differences are formally defined. As an example, it is shown that an instant-based time system and a period-based time system sketched in the paper are just trivially different in the defined sense in spite of the fact that, contrary to Quine's famous requirement, the variables of the two systems can never range over the elements of one and the same basic set. What is the same in relation to both systems is time topology.     

Using Raw VAR Regression Coefficients to Build Networks can be Misleading

Many questions in the behavioral sciences focus on the causal interplay of a number of variables across time. To reveal the dynamic relations between the variables, their (auto- or cross-) regressive effects across time may be inspected by fitting a lag-one vector autoregressive, or VAR(1), model and visualizing the resulting regression coefficients as the edges of a weighted directed network. Usually, the raw VAR(1) regression coefficients are drawn, but we argue that this may yield misleading network figures and characteristics because of two problems. First, the raw regression coefficients are sensitive to scale and variance differences among the variables and therefore may lack comparability, which is needed if one wants to calculate, for example, centrality measures. Second, they only represent the unique direct effects of the variables, which may give a distorted picture when variables correlate strongly. To deal with these problems, we propose to use other VAR(1)-based measures as edges. Specifically, to solve the comparability issue, the standardized VAR(1) regression coefficients can be displayed. Furthermore, relative importance metrics can be computed to include direct as well as shared and indirect effects into the network.     

Proneness for exercise,cognitive and psychophysiological consequences of action observation

ObjectivesPhysical exercise has benefits that go beyond health and well-being, namely in cognitive, motor and psychophysiological areas. The discovery of a shared neural network between action observation and execution (Action-Observation Network) led us to hypothesize that watching human motor action might improve cognitive and motor aspects of performance and proneness for exercise.Design/MethodsSixty participants viewed a Motor (M) (n = 30) or a Non-Motor (NM) (n = 30) movie with strong or weak content of motoric features of human action, respectively. Performance in d2 Attention test, Fitts' Motor task, and a Proneness for Exercise Visual Analog Scale was assessed before and after movie visualization, in a cross-sectional study. Psychophysiological measures were recorded throughout the experiment.ResultsOur results demonstrate an increase in proneness for exercise, and greater improvement in attention-related cognitive aspects in the M group. The aforementioned benefits of action observation did not modulate motor performance. A mental effort deployment was associated to the decrease in heart rate variability after visualization of the NM movie. This was not conducive to attention channeling on task performance. Conversely, M movie observation seemed to be associated to a cognitive load release, affording attention deployment for the resolution of the subsequent tasks.ConclusionsIt seems that some benefits associated to physical practice can result from the mere visualization of movies with human motor action content. These are the improvement in attention-related cognitive skills associated to psychophysiological changes that support a disengagement from mental effort. Crucially, the observation of exercise behavior seems to be a key factor for exercise adherence.     

The Imperative of Diakonia for the Church and Theological Education

This article begins by arguing that diakonia is an imperative for the church, be it at the local, national, regional, or global level. It goes on to describe how diakonia has been part of the identity of the World Council of Churches during its 70 years of existence, and highlights the struggle of diakonia and development within the fellowship and ecumenical partners. The article focuses on the document Called to Transformative Action: Ecumenical Diakonia as the most recent attempt to reflect on who we are and what we do as church. It identifies one important aspect of diakonia as reflected in the Pan‐African Women's Ecumenical Empowerment Network perspective on theological education. The article concludes by reflecting on the author's vision for a just community of women and men in prophetic diakonia.     

中国青少年抑郁的核心症状及性别、抑郁程度间的比较：基于网络分析方法

基于精神障碍网络理论,采用中文版流动调查中心抑郁量表对3634名青少年进行调查,使用网络分析方法考察了我国青少年抑郁的核心症状,比较不同性别和抑郁程度青少年的抑郁症状特征网络。结果发现：（1）我国青少年抑郁的核心症状为压抑情绪、失败感、悲伤和乏力;（2）不同性别青少年的抑郁症状网络结构、网络连接强度和核心症状不存在显著差异;（3）不同抑郁程度青少年的抑郁症状网络结构、网络连接强度、核心症状存在显著差异。     

现实利他行为与网络利他行为对大学生主观幸福感的影响：多重中介模型

为探讨现实利他行为与网络利他行为对主观幸福感的影响,并着力考察现实社会支持、网络社会支持与自尊在其中所起的作用,以1064名在读大学生为被试进行问卷调查,研究结果显示：（1）现实利他行为与网络利他行为均能在一定程度上预测主观幸福感。（2）现实、网络社会支持在现实、网络利他行为对主观幸福感的影响中起中介作用。（3）现实社会支持和自尊、网络社会支持和自尊在现实、网络利他行为对主观幸福感的影响中起多重中介作用。     

An Emancipatory Topology of Desire

Abstract

In this article, I explore how the emancipatory potential of the human capacity to desire and be desired can contribute to more inclusive, sustainable, and convivial futures. I differentiate four manifestations of desire: (1) the consuming aspect of desire with acts of deliberate noncapitalist desire, (2) the arousing aspect of desire encouraging acts of playful profanation, (3) the identity-shaping aspect of desire enabling acts of radical unbecoming, and (4) the future-shaping aspect of desire associated with acts of courageous deviantness. Examples of practices that highlight the emancipatory potential of the different manifestations are discussed.     

Network Connectivity Dynamics,Cognitive Biases,and the Evolution of Cultural Diversity in Round-Robin Interactive Micro-Societies

The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures. The temporal dynamics of social network connectivity, that is, the order in which individuals in a population interact with each other, has been largely unexplored. In this paper, we investigate how, in a fully connected social network, connectivity dynamics, alone and in interaction with different cognitive biases, affect the evolution of cultural variants. Using agent-based computer simulations, we manipulate population connectivity dynamics (early, mid, and late full-population connectivity); content bias, or a preference for high-quality variants; coordination bias, or whether agents tend to use self-produced variants (egocentric bias), or to switch to variants observed in others (allocentric bias); and memory size, or the number of items that agents can store in their memory. We show that connectivity dynamics affect the time-course of variant spread, with lower connectivity slowing down convergence of the population onto a single cultural variant. We also show that, compared to a neutral evolutionary model, content bias accelerates convergence and amplifies the effects of connectivity dynamics, while larger memory size and coordination bias, especially egocentric bias, slow down convergence. Furthermore, connectivity dynamics affect the frequency of high-quality variants (adaptiveness), with late connectivity populations showing bursts of rapid change in adaptiveness followed by periods of relatively slower change, and early connectivity populations following a single-peak evolutionary dynamic. We evaluate our simulations against existing data collected from previous experiments and show how our model reproduces the empirical patterns of convergence.