The role of cognitive architectures in general artificial intelligence

The term “Cognitive Architectures” indicates both abstract models of cognition, in natural and artificial agents, and the software instantiations of such models which are then employed in the field of Artificial Intelligence (AI). The main role of Cognitive Architectures in AI is that one of enabling the realization of artificial systems able to exhibit intelligent behavior in a general setting through a detailed analogy with the constitutive and developmental functioning and mechanisms underlying human cognition. We provide a brief overview of the status quo and the potential role that Cognitive Architectures may serve in the fields of Computational Cognitive Science and Artificial Intelligence (AI) research.     

The developmental difference of inattentional blindness in 3-to-5-year-old preschoolers and its relationship with fluid intelligence

Preschoolers can focus on the events that they are interested in and shield other information that may still be obvious and important, and this phenomenon is termed as inattentional blindness (IB). The present study investigated the developmental differences in IB and explored its relationship with fluid intelligence in 3-to-5-year-old preschoolers. With the involvement of one hundred and thirty-five preschoolers, it was found that the IB rates decreased with age during 3-to-5-year-olds. Fluid intelligence could significantly predict the incidence of IB in 4-year-olds, which means that those with higher fluid intelligence scores experience less IB. It implied that the ability to detect unintentional stimuli increased from 3-to-5-year-olds, whereas age was an impact factor to the relationship between fluid intelligence and IB.     

MEMORY ALTERING TECHNOLOGIES AND THE CAPACITY TO FORGIVE: WESTWORLD AND VOLF IN DIALOGUE

I explore the impact of memory altering technologies in the science fiction drama (2016–2020) in order to show that unreconciled altered traumatic memory may lead to a dystopian breakdown of society. I bring Miroslav Volf's theological perspectives on memory into conversation with the plot of Westworld in order to reveal connections between memory altering technologies and humanity's responsibility to remember rightly. Using Volf's theology of remembering as an interpretive lens, I analyze characters’ inability to remember rightly while recalling partial memories of their trauma. In virtue of this examination, I contend that memory altering technologies may inhibit individuals from relational processes of healing, such as forgiveness. Consequently, I argue that this study leads to a richer understanding of the potential that memory altering technologies have for undermining humanity's ability to interact in a relational capacity, specifically in terms of forgiveness.     

团体儿童智力测验（GITC）全国城市常模的制订

论文阐述了制订团体儿童智力测验（ＴｈｅＧｒｏｕｐＩｎｔｅｌｌｉｇｅｎｃｅＴｅｓｔｆｏｒＣｈｉｌｄｒｅｎ,简称ＧＩＴＣ）全国城市常模的过程。分布在全国各地的协作组成员对随机抽取的年龄在９岁至１８岁范围内的３９１６名中小学生施行了本测验。论文对施测结果进行了分析并报告了有关全国常模的基本信息。     

CONSCIOUSNESS AND THE MACHINE

Abstract. We consider only the relationship of consciousness to physical reality, whether physical reality is interpreted as the brain, artificial intelligence, or the universe as a whole. The difficulties with starting the analysis with physical reality on the one hand and with consciousness on the other are delineated. We consider how one may derive from the other. Concepts of universal or pure consciousness versus local or ego consciousness are explored with the possibility that consciousness may be physically creative. We examine whether artificial intelligence can possess consciousness as an extension of the interrelationship between consciousness and the brain or material reality.     

小学优等生与学习不良学生智力特征的比较研究

本研究运用 WISC-CR研究了小学阶段一、三、五年级优生与学习不良儿童在智力水平与智力结构上的异同。研究结果表明 :1优生与学习不良儿童在智力水平上有十分显著的差异 ,优生的平均智商为 1 2 0 .1 ,学习不良儿童的平均智商为 97.4;2优生在操作分量表与语言分量表上的得分比较均匀 ,但学习不良儿童的操作智商显著地优于语言智商 ;3优生与学习不良儿童在智力结构上也不尽相同 ,优生在词汇、积木、类同等分测验上的得分高 ,在算术、背数、排列等分测验上的得分较低 ;学习不良儿童在拼图、译码、填图、词汇等分测验上的得分较高 ,在常识、算术、背数等上的得分较低。     

A general index of self-reported sleep: the sleep quotient

Utilizing multiple sleep measures, a practice common to virtually all sleep assessments, poses problems both for statistical analyses in the form of inflated Type I error rate and for interpretation by the inability to specify general sleep change. A sleep quotient (SQ) is proposed that appears to overcome these problems. The paper presents archival norms for self-report sleep data, demonstrates the use of these norms in transforming novel data to standardized units, and casts the standardized score in the form of an intelligence quotient, now called a SQ, with a mean of 100 and a standard deviation of 15. Previously published data are reanalyzed by use of SQ scores, methods of interpreting SQ data are demonstrated, and advantages of SQ analyses are described. The SQ appears to be a valid, useful composite sleep index permitting the measurement of general sleep.     

The status of the concept of intelligence

Psychometric studies have shown that “general intelligence” should be broken down into the ability to apply learned solutions to new problems (crystallized intelligence) and the ability to deal with novel intellectual problems (fluid intelligence). This distinction has been amplified upon by studies of individual differences in information processing. Crystallized intelligence depends on the problem-solving schema that people have acquired and upon their efficiency in accessing information in long-term memory. Fluid intelligence is associated with the ability to access and manage relatively large amounts of information in working memory. Measures of fluid and crystallized intelligence are important predictors of objectively measured workplace performance. Studies of actual and simulated workplaces have shown that this is largely due to differences in people's ability to manage information and the speed with which the details of a job can be grasped.     

Cognitive Science: What One Needs to Know

Cognitive science is a new paradigm that informs and involves several disciplines, including artificial intelligence, neuroscience, cognitive psychology, cognitive ethology, and the philosophy of mind. Cognitive science studies the mind as an information processor, with the computer often operating as a metaphor for the operations of the mind. Developments in the cognitive sciences stand to affect tremendously how we think of the mind and, consequently, how we think of theological and religious claims that concern the human subject. The unity of self, claims of human uniqueness, the relation of mind and body, human nature, and the personal agency of God are all areas of religious import in which the cognitive sciences need to be taken into account.