Organizing Components into Combinations: How Stage Transition Works

This paper investigates the nature of transition between stages. The Model of Hierarchical Complexity of tasks leads to a quantal notion of stage, and therefore delineates the nature of stage transition. Piaget's dialectical model of stage change was extended and precisely specified. Transition behavior was shown to consist of alternations in previous-stage behavior. As transition proceeded, the alternations increased in rate until the previous stage behaviors were “smashed” together. Once the smashed-together pieces became coordinated, new-stage behavior could be said to have formed. Because stage transition is quantal, individuals can only change performance by whole stage. We reviewed theories of the specific means by which new-stage behavior may be acquired and the emotions and personalities associated with steps in transition. Contemporary challenges in the society increasingly call for transition to postformal and postconventional responses on the part of both individuals and institutions as the examples illustrate.     

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.     

选择、自我表达与选择扩散效应

自我表达会影响西方人的态度, 产生选择扩散效应。国外相关的跨文化研究发现东方人不存在该效应。通过4个实验研究中国文化下自我表达对选择态度的影响, 发现选择方式(主动、被动)和自我表达形式(直接、间接)对选择态度产生影响。无论是自己的主动选择还是强加的被动选择, 直接的自我表达会增加对所获对象的喜爱程度, 表现为对获得性的肯定。研究者认为, 两种选择方式下不同的心理加工过程导致了这种获得性：直接表达使个人态度暴露在外, 进行主动选择时要对他人的给予做出肯定回应; 而进行被动选择时, 人们要减缓因利益受损可能导致的失调, 同时中国文化下的面子策略也使人们增加对所获对象的喜爱程度。不过, 间接的自我表达对选择态度的影响不明显。研究者认为, 多个影响因素的相互消长使选择态度得以维持。