"Learning myopia: An adaptive recency effect in category learning": Correction to Jones and Sieck (2003).

Reports an error in "Learning myopia: An adaptive recency effect in category learning" by Matt Jones and Winston R. Sieck (Journal of Experimental Psychology: Learning, Memory, and Cognition, 2003[Jul], Vol 29[4], 626-640). On page 633, Table 2, the values in columns (T, P) and (P, T) in the dual condition row incorrectly read .10 and .90, respectively. The correct values are .90 and .10, respectively. (The following abstract of the original article appeared in record 2003-06626-013.) Recency effects (REs) have been well established in memory and probability learning paradigms but have received little attention in category learning research. Extant categorization models predict REs to be unaffected by learning, whereas a functional interpretation of REs, suggested by results in other domains, predicts that people are able to learn sequential dependencies and incorporate this information into their responses. These contrasting predictions were tested in 2 experiments involving a classification task in which outcome sequences were autocorrelated. Experiment 1 showed that reliance on recent outcomes adapts to the structure of the task, in contrast to models' predictions. Experiment 2 provided constraints on how sequential information is learned and suggested possible extensions to current models to account for this learning. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

低效气藏成因层次剖析

由于我国低效气藏的储量所占比例很大，故而有必要对其进行深入研究，形成适合于不同层面的研究方法和思路，以期达到指导勘探开发生产的目的。为此，将低效气藏剖析为四个层面（气藏开发特征层面、现有地质特征层面、历史地质成因层面、预测及改造层面），并用层次分析法对其进行了研究：第一层次是直接由生产来认识，第二层次通过分析、化验、监测来了解，第三层次通过地质过程和地质历史回溯来表述，第四层次依据现有地质理论，通过地质过程叠合，最终达到预测、改造、有效动用低效气藏的目的。研究结果认为，可以依据不同层次特征对低效气藏进行分类评价：第一层次从经济效益出发，依据投入产出比进行分类；第二层次着眼气藏现今地质特征，表征其地质特征，而储层分布、渗透性则为分类的主要依据；第三层次从气藏形成地质过程着手，分析低效气藏形成过程，沉积和成岩作用作为分类的关键因素；第四层次基于气藏地质特征，预测开发动态，改造气藏特征，促使气藏有效动用。     

含Zr低合金高强度钢中夹杂物的特性

用电子探针研究了含Zr低合金高强度钢中夹杂物的形貌、大小及分布等特性。结果表明 ,钢样中的夹杂物为圆形 ,呈分散分布 ,其组成系含ZrO2 的复合夹杂物 ,而且MnS依附此复合夹杂物成核和长大。钢中添加少量Zr可明显改善夹杂物形态和分布 ,从而改善钢的强度和韧性     

Plasticity of feature-based selection in triple-conjunction search.

Two experiments examined the disruption of feature-based selection in triple-conjunction search at multiple target transfers. In Experiment 1, after 10 training sessions, a new target possessing previous distractor features was introduced. This produced disruption in RT and fixation number, but no disruption in feature-based selection. Specifically, there was a tendency to fixate objects sharing the target's contrast polarity and shape and this did not change even upon transfer to the new target. In Experiment 2, 30 training sessions were provided with three target transfers. At the first transfer, the results replicated Experiment 1. Subsequent transfers did not produce disruption on any measure. These findings are discussed in terms of strength theory, Guided Search, rule-based approaches to perceptual learning, and the area activation model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

中国区域地质调查现代化与加强深部调查

从对区域地质调查的任务出发，总结了过去区域地质调查工作的特点，即基本上是沿用传统方式进行的。提出和论述了21世纪中国区域地质调查应有新发展，以适应战略转变的要求，即除去运输、通讯、记录及数字化成图等之外，更应当面向土地资源、矿产资源、地质灾害以及提高环境质量的需要, 用现代地学理论指导进行多学科的调查和采集、整理资料，实现3维多参数填图和理论概括，是关系现代地质科学发展的、具有深远战略意义的事。几十年的调查工作已证明深部的地质构造情况与地表层的观察结果是不一样的，与依据地表地质构造情况推测的深层情况也很不同。今后应加强深部探测，发展深部探测技术，取得不同深度层次的高分辨率成像图案，使人们对地球的认识提高到一个新的高度，形成新的空间—时间观念，以更有效地解决我国及地球的资源环境问题。     

面向对象的设计特征与实现语言

在管理信息系统的开发以及分布式数据库系统的设计中，已开始使用面向对象的技术．本文论述了面向对象的设计特征，介绍了用于面向对象设计的各种实现语言，并着重分析了各种实现语言支特面向对象设计的能力．     

Genetic algorithms for symbolic clustering

This paper introduces a novel methodology for clustering of symbolic objects by making use of Genetic Algorithms (GAs). GAs are a family of computational models inspired by evolution. These algorithms encode potential solutions to specific problems on simple chromosome-like data structures and apply recombination operators to these structures so as to preserve critical information. A new type of representation for chromosome structure is presented here along with a new method for mutation. The efficacy of the proposed method is examined by application to numeric data of known number of classes and also to assertion type of symbolic objects drawn from the domain of fat oil, microcomputers, microprocessors and botany. The validity of the clusters obtained is examined.     

Perceptually Grounded Language Learning: Part 2—DETE: A Neural/Procedural Model

In Part 1 of this two-part series, we introduced Katamic memory—a neural network architecture capable of robust sequence learning and recognition. In Part 2, we introduce the Blobs World taskjdomain for language learning and describe the DETE language learning system, which is composed of over 50 Katamic memory modules. DETE currently learns small subsets of English and Spanish via association with perceptual! motor inputs. In addition to Kaiamic memory, DETE employs several other novel features: (1) use of feature planes, to encode visual shapes, spatial relationships and the motions of objects, (2) phase-locking of neural firing, in order to represent focus of atention and to bind objects across multiple feature planes, and (3) a method for encoding temporal relationships, so that DETE can learn utterances involving the immediate past and future. We compare DETE to related models and discuss the implications of this approach for language-learning research.