The Function, Mechanism, And Evolution Of Learning: A Review Of Sara J. Shettleworth’s Cognition, Evolution, And Behavior.

Behavior is a property of living animals and is therefore a biological phenomenon. This book shows us what it looks like to have a truly biological science of behavior. Such a science needs to discover the laws that control behavior as it is occurring, and it is this that behavior analysts and other psychologists interested in animal behavior and learning have done so well. The science also needs to explain, however, the role that behavior plays in the life of the individual and in the existence of the species, and this has not been part of the agenda for most psychologists. Shettleworth addresses all of these questions about behavior. She views learning in terms of what it accomplishes for the individual and then provides insight into its causal laws and its evolution. All of this is accomplished with a critical eye and unremitting rigor. These accomplishments occur in the context of a theory based on a unique combination of domain‐general and domain‐specific processes that takes a major step in the direction of showing what students of animal behavior and animal learning have to offer each other.     

错误管理理论:一种新的认知偏差理论

基于统计学上的两类基本错误而提出的错误管理理论,为一种新的认知偏差--适应性偏差提供了理论上的解释.作者在阐述这一理论的同时,指出了错误管理理论在社会心理学领域,尤其在侵犯等一些应用性的社会心理领域,具有不可估量的理论意义和实践价值.     

On the current status of the evolutionary theory of behavior dynamics

The evolutionary theory of behavior dynamics is a complexity theory that instantiates the Darwinian principles of selection, reproduction, and mutation in a genetic algorithm. The algorithm is used to animate artificial organisms that behave continuously in time and can be placed in any experimental environment. The present paper is an update on the status of the theory. It includes a summary of the evidence supporting the theory, a list of the theory's untested predictions, and a discussion of how the algorithmic operations of the theory may correspond to material reality. Based on the evidence reviewed here, the evolutionary theory appears to be a strong candidate for a comprehensive theory of adaptive behavior.     

区分适应性自恋和非适应性自恋:多视角的证据

近40年来, 正常人的自恋得到了越来越多的关注.日益增加的证据显示正常人的自恋可以按照适应功能进一步区分为适应性自恋和非适应性自恋两类.本文对揭示两类自恋差异的证据进行了全面梳理, 包括二者的成分构成,适应功能,人格基础,发展规律和遗传基础.这些结果促进了对自恋复杂性的认识, 加深了对现有研究的理解, 同时也突出了未来区分二者的重要性.将来需要从理论上进一步澄清二者的差异, 编制相应的量表, 探讨二者在其它方面的不同, 特别是二者是否具有不同的神经基础.     

Developing new online calibration methods for multidimensional computerized adaptive testing

Multidimensional computerized adaptive testing (MCAT) has received increasing attention over the past few years in educational measurement. Like all other formats of CAT, item replenishment is an essential part of MCAT for its item bank maintenance and management, which governs retiring overexposed or obsolete items over time and replacing them with new ones. Moreover, calibration precision of the new items will directly affect the estimation accuracy of examinees’ ability vectors. In unidimensional CAT (UCAT) and cognitive diagnostic CAT, online calibration techniques have been developed to effectively calibrate new items. However, there has been very little discussion of online calibration in MCAT in the literature. Thus, this paper proposes new online calibration methods for MCAT based upon some popular methods used in UCAT. Three representative methods, Method A, the ‘one EM cycle’ method and the ‘multiple EM cycles’ method, are generalized to MCAT. Three simulation studies were conducted to compare the three new methods by manipulating three factors (test length, item bank design, and level of correlation between coordinate dimensions). The results showed that all the new methods were able to recover the item parameters accurately, and the adaptive online calibration designs showed some improvements compared to the random design under most conditions.     

NARRATIVE AND MEANING IN SCIENCE AND RELIGION

Differences of understanding in science and in religion can be explored via the distinction between paradigmatic and narrative modes of explanation. Although science is inclusive of the paradigmatic, I propose that in explaining the behavior of complex adaptive systems, and in the human sciences in particular, narratives may well constitute the best scientific explanations. Causal relationships may be embedded within, and expressions of higher-order constraints provided by, complex system dynamics, best understood via the temporal organization of intentionalities that constitute narrative. Complex adaptive systems, out of which intentions emerge, have behavioral trajectories that are in principle unique, contingent, and nondeterministic even in stable states and unpredictable across phase transitions. Given such unpredictability, the only explanation can be an interpretive story that retrospectively retraces the actual changes in dynamics. Without narrative, personality traits and human actions are incomprehensible. Such phenomena do not permit a reduction of purposive acts to nonpurposive elements or of reasons to the causes they constrain. Causality does not exhaust meaning. Given the role of narratives in human lives, religion and mythology provide larger stories within which individual stories make sense. Differences between narrative and historical truth suggest how we can be constituted by what we imagine ourselves to be.     

适应性记忆：方位记忆的生存优势

采用“间接学习—回忆”实验范式,考查方位记忆的生存优势及生存记忆的性别差异。在电脑屏幕上下左右4个方位随机呈现动物或食物图片,被试相对于中央点对捕获动物或采集食物的难易程度进行评价,然后进行方位回忆测验。实验1和实验2为2（情境：生存情境vs.比赛情境）×2（性别：男vs.女）的被试间设计,发现当狩猎动物或采集食物活动与生存相关时,图片方位回忆的正确率较大;实验3为2（情境：生存狩猎情境vs.生存采集情境）×2（性别：男vs.女）的混合设计,发现不同性别被试在两种生存情境中的图片回忆正确率存在差异。表明方位记忆具有生存优势,生存记忆存在性别差异。     

计算机化多阶段自适应测验研究述评

摘 要 计算机化多阶段自适应测验是基于计算机技术的测验形式,它将题目集合作为测试单元,通过多阶段自适应的形式对被试进行测试和评分。近年来通过研究各种测验形式,发现其比计算机化自适应测验和传统纸笔测验突显出更大优势。与传统纸笔测验相比,其具有参数不变性、能力估计更精确等优势。与计算机化自适应测验相比,其具有可控制题目特性、被试可检查题目等优势。如何减小测量误差,使其应用更加便捷、有效,是未来研究的发展方向。     

Overcoming the winner's curse: an adaptive learning perspective

The winner's curse phenomenon refers to the fact that the winner in a common value auction, in order to actually win the auction, is likely to have overestimated the item's value and consequently is likely to gain less than expected and may even lose (i.e., it is said to be “cursed”). Past research, using the “Acquiring a company” task has shown that people do not overcome this bias even after they receive extensive feedback. We suggest that the persistence of the winner's curse is due to a combination of two factors: variability in the environment that leads to ambiguous feedback (i.e., choices and outcomes are only partially correlated) and the tendency of decision makers to learn adaptively. We show in an experiment that by reducing the variance in the feedback, performance can be significantly improved. Copyright © 2007 John Wiley & Sons, Ltd.