Multi-layer architecture for adaptive fuzzy inference system with a large number of input features

The Sugeno adaptive fuzzy neural network using training data is a good approximation to model different systems. The large number of adaptive neuro-fuzzy inference system (ANFIS) input features is a major challenge in using ANFIS and is not applicable with increased parameters. We present a solution for many input features solving modular problems; we created a multi-layer architecture of SUB-ANFIS (MLA-ANFIS) for this purpose. Different topologies were created with various combinations of multiple input features, and an error indicator was calculated for each combination of topologies. Finally, the best topology was chosen among the states with the highest possible performance. We implemented a multi-layered approach based on 365-day concrete compressive strength data with eight input features and the optimized MLA-ANFIS topology (5-3-1) for this purpose from different ANFIS topologies and neural networks. Finally, the results from five other datasets prove the impact of the proposed MLA-ANFIS approach compared to the neural network method.     

青少年偏差行为的同伴选择和影响效应:基于纵向社会网络的元分析

以22篇纵向社会网络分析研究文献(30项独立样本研究,27746个被试)为对象,使用元分析技术探讨青少年偏差行为的同伴选择和同伴影响效应假设。结果发现:(1)同伴选择和同伴影响效应都显著,但同伴影响效应显著大于同伴选择效应;(2)青少年发展阶段在同伴选择和同伴影响过程中存在显著的调节效应。在同伴选择过程中,青少年早期阶段不显著,而中、晚期阶段显著;在同伴影响过程中,青少年早、中期显著,晚期阶段不显著。(3)偏差行为类型在同伴选择和同伴影响效应中的调节效应不显著。(4)网络数量在同伴影响过程中存在显著的调节效应,随着网络数量增加同伴影响效应越可能成立。结论,中晚期青少年会基于偏差行为相似性选择朋友,早中期青少年会受朋友的影响而产生偏差行为。     

Sensitive Topics,Missing Data,and Refusal in Social Network Studies: An Ethical Examination

We describe our ethics‐driven process of addressing missing data within a social network study about accountability for racism, classism, sexism, heterosexism, cis‐sexism, ableism, and other forms of oppression among social justice union organizers. During data collection, some would‐be participants did not return emails and others explicitly refused to engage in the research. All refusals came from women of color. We faced an ethical dilemma: Should we continue to seek participation from those who had not yet responded, with the hopes of recruiting more women of color from within the network so their perspectives would not be tokenized? Or, should we stop asking those who had been contacted multiple times, which would compromise the social network data and analysis? We delineate ways in which current discussions of the ethics of social network studies fell short, given our framework and our community psychology (CP ) values. We outline literature that was helpful in thinking through this challenge; we looked outside of CP to the decolonization literature on refusal. Lessons learned include listening for the possible meanings of refusals and considering the level of engagement and the labor required of participants when designing research studies.     

HUMAN PHENOTYPIC MORALITY AND THE BIOLOGICAL BASIS FOR KNOWING GOOD

Co‐creating knowledge takes a new approach to human phenotypic morality as a biologically based, human lineage specific (HLS) trait. Authors from very different backgrounds (anthropology and biology, on the one hand, and astronomy, philosophy, and theology, on the other) first review research on the nature and origins of morality using the social brain network, and studies of individuals who cannot “know good” or think morally because of brain dysfunction. They find these models helpful but insufficient, and turn to paleoanthropology, cognitive science, and neuroscience to understand human moral capacity and its origins long ago, in the genus Homo. An unusual narrative capturing “morality in action” takes the reader back 900,000 years, and then the authors analyze the essential features of moral thinking and behavior as expressed by early and later species on our lineage. In what has primarily been the province of philosophers to date, the authors’ morality model is presented for further scientific testing.     

A role for the anterior insular cortex in the global neuronal workspace model of consciousness

According to the global neuronal workspace model of consciousness, consciousness results from the global broadcast of information throughout the brain. The global neuronal workspace is mainly constituted by a fronto-parietal network. The anterior insular cortex is part of this global neuronal workspace, but the function of this region has not yet been defined within the global neuronal workspace model of consciousness. In this review, I hypothesize that the anterior insular cortex implements a cross-modal priority map, the function of which is to determine priorities for the processing of information and subsequent entrance in the global neuronal workspace.     

大学生社交网站使用与依赖:积极自我呈现的中介效应与关系型自我构念的调节效应

采用问卷法对658名具有社交网站使用经验的大学生进行调查,考察大学生社交网站使用与依赖的关系、积极自我呈现的中介作用以及关系型自我构念的调节作用。结果发现：（1）社交网站使用能显著正向地预测大学生社交网站依赖;（2）积极自我呈现在社交网站使用与依赖的关系中起部分中介作用;（3）积极自我呈现的中介作用受到关系型自我构念的调节。具体来说,相对于高关系型自我构念的大学生,低关系型自我构念大学生的社交网站使用更多地通过积极自我呈现影响其社交网站依赖。     

认知主义与联结主义之比较

认知主义的研究定向和联结主义的研究定向是广义的现代认知心理学的两种主要研究范式。这两种研究范式都各有自己的研究内容和方法论,也取得了各自不同的成就,同时也存在各自不同的问题。通过对两种研究范式的比较,我们可以清楚地认识到二者的相互沟通和融合才是认知心理学未来发展的必然趋势。     

Particularism and Default Reasons

This paper addresses a recent suggestion that moral particularists can extend their view to countenance default reasons (at a first stab, reasons that are pro tanto unless undermined) by relying on certain background expectations of normality. I first argue that normality must be understood non-extensionally. Thus if default reasons rest on normality claims, those claims won't bestow upon default reasons any definite degree of extensional generality. Their generality depends rather on the contingent distributional aspects of the world, which no theory of reasons should purport to settle. Appeals to default reasons cannot therefore uniquely support particularism. But this argument also implies that if moral generalism entailed that moral reasons by necessity have invariant valence (in the natural extensional sense), it would be a non-starter. Since generalism is not a non-starter, my argument forces us to rethink the parameters of the generalism-particularism debate. Here I propose to clarify the debate by focusing on its modal rather than extensional aspects. In closing, I outline the sort of generalism that I think is motivated by my discussion, and then articulate some worries this view raises about the theoretical usefulness of the label ‘default reason’.     

Epistemology and artificial intelligence

In this essay we advance the view that analytical epistemology and artificial intelligence are complementary disciplines. Both fields study epistemic relations, but whereas artificial intelligence approaches this subject from the perspective of understanding formal and computational properties of frameworks purporting to model some epistemic relation or other, traditional epistemology approaches the subject from the perspective of understanding the properties of epistemic relations in terms of their conceptual properties. We argue that these two practices should not be conducted in isolation. We illustrate this point by discussing how to represent a class of inference forms found in standard inferential statistics. This class of inference forms is interesting because its members share two properties that are common to epistemic relations, namely defeasibility and paraconsistency. Our modeling of standard inferential statistical arguments exploits results from both logical artificial intelligence and analytical epistemology. We remark how our approach to this modeling problem may be generalized to an interdisciplinary approach to the study of epistemic relations.     

关系研究的新取向：社会网络分析

社会网络分析（Social Network Analysis, SNA）是用社会实体之间的关系来描述、解释和预测社会现象的一种研究取向。SNA提供了深入探究社会环境特征及其对个体心理发展影响的一种方法。本文基于SNA的发展历程,依次介绍了中心性分析、小团体分析、位置分析、QAP以及统计模型法。SNA在社会学研究中得到了较多应用,近年来在心理学研究中开始受到重视。