Dynamic Factor Analysis of Worldviews/Religious Beliefs and Well-Being among Older Adults

Intraindividual patterns of time-lagged relationships among self-reports of worldviews/religious beliefs, self-concept, and physical and psychological well-being were investigated. Participants were older adults (mean age = 77 years) who were measured weekly covering a total of 25 weeks. Dynamic Factor Models were fitted to multivariate repeated measures data pooled over subsets of participants. The results showed significant time-lagged cross-factor relationships suggesting that worldviews/religious beliefs had a significant direct effect on self-concept and physical health over 2 weeks. For each factor series, there were substantial autoregressive effects indicating persisting effects of factors on themselves over 1 or 2 weeks. A link between worldviews/religious beliefs and physical health was found in the time-lagged structure of within-person variability. The findings underscore the need to study both intraindividual change and interindividual differences in intraindividual variability to obtain a better understanding of behavior and behavioral development.

Blueprint for a dynamic deontic logic

Extending the idiom of dynamic logic we outline a deontic logic in which deontic operators operate on terms rather than on formulæ. In a second step we distinguish between what we call real and deontic actions.     

A cortical framework for invariant object categorization and recognition

In this paper we present a new model for invariant object categorization and recognition. It is based on explicit multi-scale features: lines, edges and keypoints are extracted from responses of simple, complex and end-stopped cells in cortical area V1, and keypoints are used to construct saliency maps for Focus-of-Attention. The model is a functional but dichotomous one, because keypoints are employed to model the “where” data stream, with dynamic routing of features from V1 to higher areas to obtain translation, rotation and size invariance, whereas lines and edges are employed in the “what” stream for object categorization and recognition. Furthermore, both the “where” and “what” pathways are dynamic in that information at coarse scales is employed first, after which information at progressively finer scales is added in order to refine the processes, i.e., both the dynamic feature routing and the categorization level. The construction of group and object templates, which are thought to be available in the prefrontal cortex with “what” and “where” components in PF46d and PF46v, is also illustrated. The model was tested in the framework of an integrated and biologically plausible architecture.

Learning, risk attitude and hot stoves in restless bandit problems

This research examines decisions from experience in restless bandit problems. Two experiments revealed four main effects. (1) Risk neutrality: the typical participant did not learn to become risk averse, a contradiction of the hot stove effect. (2) Sensitivity to the transition probabilities that govern the Markov process. (3) Positive recency: the probability of a risky choice being repeated was higher after a win than after a loss. (4) Inertia: the probability of a risky choice being repeated following a loss was higher than the probability of a risky choice after a safe choice. These results can be described with a simple contingent sampler model, which assumes that choices are made based on small samples of experiences contingent on the current state.     

Inference and update

We look at two fundamental logical processes, often intertwined in planning and problem solving: inference and update. Inference is an internal process with which we uncover what is implicit in the information we already have. Update, on the other hand, is produced by external communication, usually in the form of announcements and in general in the form of observations, giving us information that might not have been available (even implicitly) before. Both processes have received attention from the logic community, usually separately. In this work, we develop a logical language that allows us to describe them together. We present syntax, semantics and a complete axiom system; we discuss similarities and differences with other approaches and mention how the work can be extended.     

Extending probabilistic dynamic epistemic logic

This paper aims to extend in two directions the probabilistic dynamic epistemic logic provided in Kooi’s paper (J Logic Lang Inform 12(4):381–408, 2003) and to relate these extensions to ones made in van Benthem et al. (Proceedings of LOFT’06. Liverpool, 2006). Kooi’s probabilistic dynamic epistemic logic adds to probabilistic epistemic logic sentences that express consequences of public announcements. The paper (van Benthem et al., Proceedings of LOFT’06. Liverpool, 2006) extends (Kooi, J Logic Lang Inform 12(4):381–408, 2003) to using action models, but in both papers, the probabilities are discrete, and are defined on trivial σ-algebras over finite sample spaces. The first extension offered in this paper is to add a previous-time operator to a probabilistic dynamic epistemic logic similar to Kooi’s in (J Logic Lang Inform 12(4):381–408, 2003). The other is to involve non-trivial σ-algebras and continuous probabilities in probabilistic dynamic epistemic logic.     

Judgment in a dynamic task: Microburst forecasting

The major goals of this research are to (a) study professionals engaging in dynamic, representative task conditions, (b) apply lens model theory to these conditions, (c) learn how judgments are changed in response to changing conditions, and (d) utilize a hierarchical judgment model to investigate the judgment process from perception of data to final judgment. The results indicate that (a) agreement regarding inferred cue values is modest, not because of differences in perception of proximal, directly observed cue values but because of differences in inferences drawn from them, (b) agreement in probability judgments is higher when inferred cue values are specified, (c) little change in judgments occurred over time, and (d) confidence increased over time. The results regarding agreement and accuracy over time were ambiguous.     

The Undecidability of Iterated Modal Relativization

In dynamic epistemic logic and other fields, it is natural to consider relativization as an operator taking sentences to sentences. When using the ideas and methods of dynamic logic, one would like to iterate operators. This leads to iterated relativization. We are also concerned with the transitive closure operation, due to its connection to common knowledge. We show that for three fragments of the logic of iterated relativization and transitive closure, the satisfiability problems are fi1 ¹₁–complete. Two of these fragments do not include transitive closure. We also show that the question of whether a sentence in these fragments has a finite (tree) model is fi0 ⁰₁–complete. These results go via reduction to problems concerning domino systems.     

校园排斥对初中生内外化问题的影响:同伴关系与核心自我评价的中介作用

该研究探讨了校园排斥和初中生内外化问题的关系,结合资源保存理论,进一步考察同伴关系（条件性资源）与核心自我评价（人格特质资源）对该效应的链式中介作用。采用青少年校园现实受排斥量表、同伴关系量表、核心自我评价量表、焦虑抑郁量表和外化行为倾向量表,对辽宁省2所中学540名初中生进行调查。结果表明：（1）校园排斥对于初中生的内化及外化问题均具有正向预测作用;（2）同伴关系、核心自我评价在校园排斥与内化问题中起完全中介作用,而在校园排斥与外化问题中起部分中介作用。具体而言,校园排斥通过三条路径影响内外化问题：一是同伴关系的单独中介作用;二是核心自我评价的单独中介作用;三是同伴关系—核心自我评价的链式中介作用。     

大学生自尊与社会适应的关系:积极核心图式与同伴依恋的链式中介效应分析

采用自尊量表、简明核心图式量表、同伴依恋量表和中国大学生适应量表调查华中三省5所大学大一至大三年级共459名大学生,运用偏差校正的百分位Bootstrap方法探索大学生积极核心图式和同伴依恋在自尊和社会适应之间的链式中介作用。结果发现：（1）大学生自尊、积极核心图式、同伴依恋与社会适应两两之间均呈显著正相关;（2）大学生自尊对社会适应的直接效应和间接效应均显著。间接效应包括了三条路径：通过积极核心图式的中介作用、通过同伴依恋的中介作用以及通过积极核心图式-同伴依恋的链式中介作用。这一结论有助于理解自尊对社会适应的作用机制,为未来大学生社会适应能力的提升提供建议。