Computational exploration of metaphor comprehension processes using a semantic space model

Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view ( Bowdle & Gentner, 2005 ), aptness view ( Glucksberg & Haught, 2006b ), and interpretive diversity view ( Utsumi, 2007 ); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization and comparison processes. This article attempts to answer the question regarding which views are plausible by using cognitive modeling and computer simulation based on a semantic space model. In the simulation experiment, categorization and comparison processes are modeled in a semantic space constructed by latent semantic analysis. These two models receive word vectors for the constituent words of a metaphor and compute a vector for the metaphorical meaning. The resulting vectors can be evaluated according to the degree to which they mimic the human interpretation of the same metaphor; the maximum likelihood estimation determines which of the two models better explains the human interpretation. The result of the model selection is then predicted by three metaphor properties (i.e., vehicle conventionality, aptness, and interpretive diversity) to test the three views. The simulation experiment for Japanese metaphors demonstrates that both interpretive diversity and vehicle conventionality affect the choice between the two processes. On the other hand, it is found that metaphor aptness does not affect this choice. This result can be treated as computational evidence supporting the interpretive diversity and conventionality views.     

Towards a computational theory of experience

A standing challenge for the science of mind is to account for the datum that every mind faces in the most immediate – that is, unmediated – fashion: its phenomenal experience. The complementary tasks of explaining what it means for a system to give rise to experience and what constitutes the content of experience (qualia) in computational terms are particularly challenging, given the multiple realizability of computation. In this paper, we identify a set of conditions that a computational theory must satisfy for it to constitute not just a sufficient but a necessary, and therefore naturalistic and intrinsic, explanation of qualia. We show that a common assumption behind many neurocomputational theories of the mind, according to which mind states can be formalized solely in terms of instantaneous vectors of activities of representational units such as neurons, does not meet the requisite conditions, in part because it relies on inactive units to shape presently experienced qualia and implies a homogeneous representation space, which is devoid of intrinsic structure. We then sketch a naturalistic computational theory of qualia, which posits that experience is realized by dynamical activity-space trajectories (rather than points) and that its richness is measured by the representational capacity of the trajectory space in which it unfolds.     

VARIETIES OF RELIGIOUS COGNITION: A COMPUTATIONAL APPROACH TO SELF-UNDERSTANDING IN THREE MONOTHEIST CONTEXTS

This study considered representations of divine and human others in the self-understanding of monotheists from three religions. Self-understanding was conceptualized on the basis of semantic and episodic knowledge in narrative response data. Given the importance of social context in the formation of cognitive schemas, the project emphasized self-understanding in a comparative religious design. The sample included sixty nominated religious exemplars who responded to a structured interview. Schemas were subsequently mapped for Jews, Muslims, and Christians by comparison of self and other representations in a computational model known as latent semantic analysis (LSA). Findings indicated that representation of the divine is far removed from parents in cognitive schemas for all participants. Unlike Jews and Christians, Muslims appear to represent human others on the basis of self-understanding which principally references the divine. When considered in a computational semantic space, exemplars generally represent the self in a manner corresponding with divine and peer figures.     

空格在文本阅读中的作用

本文总结空格在文本阅读中作用的相关研究, 主要包括以下内容: (1)删除或替代有空格文本中的空格, 对阅读产生的干扰作用; (2)在无空格的文本中插入空格, 对阅读产生一定的促进作用, 空格在汉语阅读中的作用受被试阅读经验、阅读方式和空格大小等因素影响; (3)被试母语和第二语言呈现方式的一致性会影响空格在第二语言阅读中的作用; (4)今后应结合眼动控制理论, 从注视点落点位置和熟悉性等方面开展研究。     

空间量化的心理表征

空间量化(spacial quantification)是空间知觉的基础, 是对特定空间性质的表达。离散量(discrete magnitude)与连续量(continuous quantity)分别反映了空间分立和连续的性质, 二者有着相似的行为效应, 在神经表达上也有部分重叠, 这些证据暗示了二者可能有共同的表征机制——模拟表征(analog magnitude representation)。数量空间映射(number–space mappings)提供了数量与空间关系的直接证据。但空间量化的研究中还有许多未解之谜, 如：空间量化的动态表征、量化机制的普遍性、参照点问题、复杂和多维空间的量化等。在具身认知(embodied cognition)的框架下, 空间量化的心理表征研究将对空间的性质做出更深刻的回答。     

词边界信息在中文阅读眼跳目标选择中的作用：来自中文二语学习者的证据

采用EyeLink 1000眼动仪, 选取韩、美、日、泰四国留学生各20名, 在正常无空格和词间空格两种呈现方式下阅读中文语句, 以此来探讨二语学习者在阅读中文时词边界信息在眼跳目标选择中的作用。结果发现, 二语学习者在中文阅读中存在着一致的眼动模式, 即在单次注视事件中, 倾向于注视词的中间部分, 在多次注视事件中, 倾向于注视其开端部分, 然后再计划一次词内再注视。词边界信息能够有效地引导中文二语学习者的眼动行为和眼跳计划, 更多地将首次注视位置落在词的中间部分。最后, 词边界信息在眼跳目标选择中的促进作用没有受到母语文本呈现方式熟悉性的调节。我们认为, 中文二语学习者在阅读中的眼跳目标选择可能采用的是战略-战术策略。     

基于等级反应模型的规则空间方法

本研究基于Tatsuoka的规则空间方法, 对理想反应模式与异常反应指标进行了扩展, 推导了多级评分项目下规则空间方法的算法公式。在4种属性层级结构(发散型、收敛型、线型与无结构型)×4种“失误”作答概率(2%、5%、10%与15%)测验情境下, 以属性模式判准率、被试属性判准率、敏感性与特异性为指标, 检验了多级评分项目下规则空间方法的分类准确性。结果表明：(1) 基于多级评分项目构建的异常反应指标, 能有效地对被试进行分类与解释, 且0-1评分项目下异常反应指标及其性质都是多级评分下的特例; (2) 随着“失误”作答概率的增加, 4种属性层级结构的分类准确性都会降低; (3) 线型和收敛型的分类准确性明显好于发散型与无结构型; (4) 纯规则点的分布对规则空间方法的分类准确性有显著影响。     

视听时间再校准：适应空间与适应客体的联合及独立作用

同一事件的视听成分即使同时发生, 由于两种信息的物理传播与神经传导速度的差异, 大脑知觉到它们的时刻仍会存在一定的延迟。时间再校准指大脑可以最小化并适应这段时间延迟的现象。本研究采用“适应—测验”范式, 在适应阶段连续给被试呈现视觉先于听觉或听觉先于视觉128ms的刺激对, 在测验阶段以时序判断任务来测量被试此时主观同时点的变化。通过操纵适应及新异视听刺激对(即适应客体与新异客体)在测验阶段出现的空间位置, 探索空间与客体因素对视听时间再校准的影响。结果发现, 当适应客体出现于适应空间时, 主观同时点显著偏向了时间延迟的方向; 同样显著或边缘显著的主观同时点偏移还发生于适应客体出现于未适应空间时, 以及新异客体出现于适应空间时。研究表明, 视听时间再校准在不同空间中的表现取决于适应空间与适应客体的联合或独立作用。     

文本加工中情境模型建构的五个维度

情境模型理论是当代西方文本阅读加工的一个重要理论。该文通过详细介绍情境模型建构的空间、时间、因果、主人公、意图五大维度,以助于对情境模型理论整体理解。通过总结可知,目前国内外关于情境模型建构中的空间、因果和主人公三个维度的研究成果较多,研究范式也较为成熟,时间和意图维度则研究成果较少     

Dissimilarity cumulation theory in arc-connected spaces

This paper continues the development of the Dissimilarity Cumulation theory and its main psychological application, Universal Fechnerian Scaling [Dzhafarov, E.N and Colonius, H. (2007). Dissimilarity Cumulation theory and subjective metrics. Journal of Mathematical Psychology, 51, 290-304]. In arc-connected spaces the notion of a chain length (the sum of the dissimilarities between the chain’s successive elements) can be used to define the notion of a path length, as the limit inferior of the lengths of chains converging to the path in some well-defined sense. The class of converging chains is broader than that of converging inscribed chains. Most of the fundamental results of the metric-based path length theory (additivity, lower semicontinuity, etc.) turn out to hold in the general dissimilarity-based path length theory. This shows that the triangle inequality and symmetry are not essential for these results, provided one goes beyond the traditional scheme of approximating paths by inscribed chains. We introduce the notion of a space with intermediate points which generalizes (and specializes to when the dissimilarity is a metric) the notion of a convex space in the sense of Menger. A space is with intermediate points if for any distinct there is a different point such that (where D is dissimilarity). In such spaces the metric G induced by D is intrinsic: coincides with the infimum of lengths of all arcs connecting to In Universal Fechnerian Scaling D stands for either of the two canonical psychometric increments and (ψ denoting discrimination probability). The choice between the two makes no difference for the notions of arc-connectedness, convergence of chains and paths, intermediate points, and other notions of the Dissimilarity Cumulation theory.