有效的领导者及其权力的行使

本文在大量关于领导与权力的研究基础上 ,深入阐述了领导者的权力的本质及其基础 ,并区分了领导者的职权与个人权力 ,认为一味地依靠职权作为领导的基础只能产生各种消极的组织行为 ,而有效的领导者往往依靠个人权力来影响职工 ,激励职工。最后 ,本文也讨论形成个人权力的途径以及个人权力行使方法和注意的问题。     

Memory for temporal order in novel sequential action

ABSTRACT

Order is critical for many daily activities. Developmental research has shown that memory for order in action is the least prioritised in a processing hierarchy, and is sensitive to deviant input. The current research investigated these aspects of sequence learning are also present in adults. Participants learned a novel sequence across several exemplars with either easy- or difficult-to-categorize items, which either did or did not involve a deviant order on one exemplar, and were later asked to recall the sequence. Memory for individual sub-actions and order was stronger in the easy conditions, and the deviant order significantly deteriorated ordered recall in the difficult condition only. These findings support the theorised processing hierarchy, with the presence of a deviant order having a larger effect on memory when the load at the earlier item stage is increased. These results have implications for theories of working memory and learning in real-world contexts.     

Marginally Represented Patients and the Moral Authority of Surrogates

Abstract

Incapacitated adult patients are commonly divided into two groups for purposes of decision making; those with a surrogate and those without. Respectively, these groups are often referred to as represented and unrepresented, and the relative ethics of decision making between them raises two particular issues. The first issue involves the differential application of the best interests standard between groups. Second is the prevailing notion that representedness and unrepresentedness are categorical phenomena, though it is more aptly understood as a multidimensional and continuous variable based on relational moral authority. This paper examines the nature of representedness as it relates to ethical norms of surrogate decision making.     

Modeling the emergence of informational content by adaptive networks for temporal factorisation and criterial causation

Propagated activation of neurons through their network is an important process in the brain. Another crucial part of neural processing concerns adaptation over time of characteristics of this network such as connection strengths or excitability thresholds. This adaptation can be slow, as in learning from a multiple experiences, or it can be fast, as in memory formation. These adaptive network characteristics can be considered informational criteria for activation of a neuron. This then is viewed as a form of emergent information formation. Activation of neurons is determined by such information via a process termed criterial causation. In the current paper, the relationship of criterial causation with the principle of temporal factorisation for the dynamics of the world in general is explored. Temporal factorisation describes how the world represents information about its past in its present state, which then in turn determines the world’s future. In the paper, it is shown how these processes are analysed in more detail and modeled by (adaptive) network models.