Exploiting Distributed Cognition to Make Tacit Knowledge Explicating

Distributed cognition is a new development trend of cognitivism, and is also a new research field of knowledge manage- ment. The study discusses that tacit knowledge explicating activity is a distributed cognitive activity, whose success depends on interaction of each of these factors in distributed cognitive system and none of the factor could be neglected. Further, the study exploits distributed cognition to explore how to design these factors in the system so that tacit knowledge explicating can be accomplished successfully.

An Improved Method for Web Text Affective Cognition Computing Based on Knowledge Graph

The goal of research on the topics such as sentiment analysis and cognition is to analyze the opinions,emotions,evaluations and attitudes that people hold about the entities and their attributes from the text.The word level affective cognition becomes an important topic in sentiment analysis.Extracting the(attribute,opinion word)binary relationship by word segmentation and dependency parsing,and labeling those by existing emotional dictionary combined with webpage information and manual annotation,this paper constitutes a binary relationship knowledge base.By using knowledge embedding method,embedding each element in(attribute,opinion,opinion word)as a word vector into the Knowledge Graph by TransG,and defining an algorithm to distinguish the opinion between the attribute word vector and the opinion word vector.Compared with traditional method,this engine has the advantages of high processing speed and low occupancy,which makes up the time-costing and high calculating complexity in the former methods.

Exploration on the Cognitive Schema and Its Transformation of Knowledge Management

Knowledge management(KM) has been receiving considerable attention in the human-system research community.And it is one of the key issues on what the cognitive structure(schema) is and how it transfers.From different perspectives,such as the cognitive science,the concepts,elements and characteristics of cognitive schema,the knowledge structure,knowledge acquisition and influence of schema on it,this paper explores the cognitive schema of knowledge management.

Cognitive Views on the Representation and Acquisition of L2 Grammatical Knowledge

The role of implicit and explicit learning,depth of processing and elaboration as well as involvement load hypothesis in second language grammatical acquisition were examined in this paper.We conclude that psychologists have associated better learning with depth of processing,or degree of elaboration.The Involvement Load Hypothesis can be conceived as a first attempt to stimulate researchers as well as practitioners to operationalize traditional general labels into task-specific components.

Research on Network Cognition Model and Mechanism of Intelligent Information Network

Intellectualization has been an inevitable trend in the information network,allowing the network to achieve the capabilities of self-learning,self-optimization,and self-evolution in the dynamic environment.Due to the strong adaptability to the environment,the cognitive theory methods from psychology gradually become an excellent approach to construct the intelligent information network(IIN),making the traditional definition of the intelligent information network no longer appropriate.Moreover,the thinking capability of existing IINs is always limited.This paper redefines the intelligent information network and illustrates the required properties of the architecture,core theory,and critical technologies by analyzing the existing intelligent information network.Besides,we innovatively propose a novel network cognition model with the network knowledge to implement the intelligent information network.The proposed model can perceive the overall environment data of the network and extract the knowledge from the data.As the model’s core,the knowledge guides the model to generate the optimal decisions adapting to the environmental changes.At last,we present the critical technologies needed to accomplish the proposed network cognition model.

On the trails of markers and proxies:the socio-cognitive technologies of human movement,knowledge assemblage,and their relevance to the etiology of nasopharyngeal carcinoma

Bacteria,pigs,rats,pots,plants,words,bones,stones,earrings,diseases,and genetic indicators of all varieties are markers and proxies for the complexity of interweaving trails and stories integral to understanding human movement and knowledge assemblage in Southeast Asia and around the world.Understanding human movement and knowledge assemblage is central to comprehending the genetic basis of disease,especially of a cancer like nasopharyngeal carcinoma.The problem is that the markers and trails,taken in isolation,do not all tell the same story.Human movement and knowledge assemblage are in constant interaction in an adaptive process of co-production with genes,terrain,climate,sea level changes,kinship relations,diet,materials,food and transport technologies,social and cognitive technologies,and knowledge strategies and transmission.Nasopharyngeal carcinoma is the outcome of an adaptive process involving physical,social,and genetic components.

A Cognitive Science Framework for the Analysis of Knowledge-Based Systems

The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.

On Constructing the Cognitive Model of Knowledge Acquisition in Globalization-Oriented Study

This paper which is directed to constructing the cognitive model of knowledge acquisition in view of the increasing need of globalization-oriented study, points out features of globalization-oriented study, and proposes the importance and necessity for constructing the CMKAGS （cognitive model of knowledge acquisition in globalization-oriented study） which includes attention, background knowledge, and chunking memory that involves semantic chunking, information encoding as well as choice of information encoding. The cognitive model of knowledge acquisition in question aims at helping e-learners to memorize their learned knowledge and improve their studies effectively and efficiently, whether they study in enhanced conditions or in natural conditions

Information Comprehension Based on the New Knowledge Acquired by Cognitive Subject as the Fourth Dimension Set

On the basis of studying general comprehension model of information, this paper puts forward the Four Dimensions Set Information Comprehension Model （FDSICM） based on regarding the new knowledge acquired by cognitive subject as the fourth dimension set. Making use of the Four Dimension Set Information Comprehension Model （FDSICM）, this paper analyzes the information attributes and expatiates from three levels the comprehension of the information meaning.

The Theory of Bio-Medical Knowledge Integration(Ⅸ)──A venture in methodology for operations on the cognitive segment in HER

This paper pointed out, in the cognitive or semantic processes, the data of EHR reflect their physical nature, which makes mathematics and informatics of less computing capability. Based on this argument a new concept cognitive segment (CS), which is considered with having both physical and formalized quality, was introduced. Centered on CS, the paper presented a series of new basic concepts and their definitions, a set of symbols and expressions, and afterwards explored the types, quasi-formalized expressions, mapping nature, methodology for operations, two distinguished differences, commonsensible background analyses, cognitive dimension regression, supervising function of CSs.

Mathematical Model of Embodied Symbols: Cognition and Perceptual Symbol System

A mathematical model of perceptual symbol system is developed. This development requires new mathematical methods of dynamic logic (DL), which have overcome limitations of classical artificial intelligence and connectionist approaches. The paper discusses these past limitations, relates them to combinatorial complexity (exponential explosion) of algorithms in the past, and relates it further to the static nature of classical logic. DL is a process-logic;its salient property is evolution of vague representations into crisp. We first consider one aspect of PSS: situation learning from object perceptions. Next DL is related to PSS mechanisms of concepts, simulators, grounding, embodiment, productiveity, binding, recursion, and to the mechanisms relating embodied-grounded and amodal symbols. We discuss DL capability for modeling cognition on multiple levels of abstraction. PSS is extended toward interaction between cognition and language. Experimental predictions of the theory are discussed. They might influence experimental psychology and impact future theoretical developments in cognitive science, including knowledge representation, and mechanisms of interaction between perception, cognition, and language. All mathematical equations are also discussed conceptually, so mathematical understanding is not required. Experimental evidence for DL and PSS in brain imaging is discussed as well as future research directions.

The Relationship between Assessment Skills and Nursing Knowledge

This research aimed to clarify the relationship between nursing students’ levels of structural knowledge and assessment skills. Participants were 17 third-year university students majoring in nursing who participated individually in the experiments. The experiments included a nursing-scene task, free-recall task, and sorting task. Experiments were conducted before and after their clinical practice. Each student’s level of structural knowledge was calculated from the free-recall and sorting task responses, and each student’s assessment skill was calculated from the nursing-scene task responses. Levels of structural knowledge were significantly higher in post-examination compared with pre-examination (p p n = 5) had significantly higher scores for their conclusions and reasons than the low-structured group (n = 5) (p p < 0.10). Well-structured knowledge of students in the high-structured group seemed to enable them to acquire and activate highly related information during assessment. Students in the high-structured group apparently made assessments not only by using information given but also by over viewing information comprehensively.

Fuzzy Methodology for Taxonomy and Knowledge Base Design

This paper summarizes the research results dealing with washer and nut taxonomy and knowledge base design, making the use of fuzzy methodology. In particular, the theory of fuzzy membership functions, similarity matrices, and the operation of fuzzy inference play important roles.A realistic set of 25 washers and nuts are employed to conduct extensive experiments and simulations.The investigation includes a complete demonstration of engineering design. The results obtained from this feasibility study are very encouraging indeed because they represent the lower bound with respect to performance, namely correctrecognition rate, of what fuzzy methodology can do. This lower bound shows high recognition rate even with noisy input patterns, robustness in terms of noise tolerance, and simplicity in hardware implementation. Possible future works are suggested in the conclusion.

Constructivism Representatives about Cognition Process

The article provides an analysis of the approach to cognition in the theory of constructivism according to different constructivism concepts such as： methodical constructivism, scientific-theoretical constructivism, natural epistemology, personal construct theory, social constructivism, concepts of some radical constructivism representatives, constructive realism. The analysis demonstrates that constructivism helps to establish subject＇s control over the reality perceived by him when eliminating any deviations or resentments from his preferable target condition. In this case, the model of the world cognized contains only the aspects which are relevant to subject＇s purposes and actions. It is advanced the idea the current stage of science development is connected with the change of its fundamental bases. As a result, the model of the reality becomes a result of interaction between subject of scientific and cognitive activity with the reality, but the ideas of constructivism in its classical meaning don＇t correspond to this conclusion. The author proves that cognition based on the constructive realism is the most appropriate to the modern stage of epistemology development as it cancels the opposition of constructivism and realism in some extent and promotes getting a rational knowledge about the reality by subject.

Semantic model and optimization of creative processes at mathematical knowledge formation

The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the formation of deductive theory is represented as the development of a certain informational space, the elements of which are structured in the form of the orientated semantic net. This net is properly metrized and characterized by a certain system of coverings. It allows injecting net optimization parameters, regulating qualitative aspects of knowledge system under consideration. To regulate the creative processes of the formation and realization of mathematical know- edge, stochastic model of formation deductive theory is suggested here in the form of branching Markovian process, which is realized in the corresponding informational space as a semantic net. According to this stochastic model we can get correct foundation of criterion of optimization creative processes that leads to “great main points” strategy (GMP-strategy) in the process of realization of the effective control in the research work in the sphere of mathematics and its applications.

Survey on Knowledge Toward Diabetic Periodontal Condition and Oral Health Among Medical Staff and Patients

The study was conducted to understand the cognitive status of medical staff and patients on the status of periodontal disease and oral health care in patients with diabetes,and to provide reference for the implementation and improvement of diabetes management and health education.Using the Diabetes Periodontal Status and Oral Health Knowledge Questionnaire,108 doctors,190 nurses,and 212 inpatients were investigated.This study demonstrated that,the total scores of doctors,nurses,and patients with diabetes periodontal status and oral health knowledge were(31.18±5.14),(28.58±4.09)and(18.67±3.45)points,respectively.The results of regression analysis showed that education level,department,and related training experience(p<0.05,p<0.01)were the influencing factors of the diabetic periodontal status and oral health knowledge level of the medical staff,meanwhile the monthly income,department,and relevant training experience(p<0.05,p<0.01)were the factors influencing the diabetic periodontal status and oral health care knowledge level of the patients.In summary,the cognitive level of diabetic periodontal status and oral health care knowledge of the medical staff and patients’needs to be improved.Medical staff should pay attention to the study of diabetic periodontal status and oral health care knowledge,further perform a good job in the relevant health education of patients,which is helpful to maintain good oral hygiene.

具身智能知识服务:元宇宙与AIGC等新技术赋能下的知识服务新图景

[目的/意义]智能技术的发展为知识服务领域带来前所未有的变革。研究具身智能知识服务的理论逻辑、技术基础、体系框架和应用前景,可以为知识服务领域提供新的理论参照和实践指导。[方法/过程]基于具身认知理论,深刻理解具身智能知识服务的在场性、主动性和连接性特征。进一步分析以元宇宙、AIGC、数智人和人形机器人等作为技术基座所构建的具身智能知识服务体系框架,涵盖具身知识的生成、加工、传播、反馈等要素,并探讨具身智能知识服务在教育培训、公共文化、文化旅游和医疗健康等不同服务场景中的应用。[结果/结论]分析具身智能知识服务体系框架的构建和应用图景,有助于建立更全面和智能的知识服务网络,满足用户的知识需求,提高具身智能知识服务的效能并推动具身智能知识服务的高质量发展。

知识、想象力与深度学习——与吉莉安·贾德森教授关于基兰·伊根的研究的对话

20世纪80、90年代以来,加拿大西蒙菲莎大学基兰•伊根教授带领团队开展了“富有想象力的教育”“深度学习研究项目”等研究,系统地探讨了课程知识、学习、理解、想象与想象力的本质,以及知识理解的本质与类型、知识与想象力的关系,开发了想象力培养的认知工具,提出了在学科教学中培育学生想象力的教学策略。在深度学习研究中,建立了深度学习的知识标准和教学基本准则。2006年以来,针对我国中小学课程实施中存在的问题,我们组建了深度教学研究团队。围绕教学价值观、课程知识观、教学过程观和学习活动观的转变,采取3K研究方式,探讨了指向核心素养的教与学的理念与策略,并开展了国际合作研究。围绕基兰•伊根教授关于知识、想象力与深度学习研究等方面的创新贡献,对话和访谈西蒙菲莎大学吉莉安•贾德森教授,以期为我国深化课程与教学改革,破解核心素养发展的难题提供借鉴。

在线学习个性化推荐中多维度学习者模型研究

随着在线学习平台的广泛使用,在线学习资源快速增长,“信息迷航”问题亟待解决。针对在线学习个性化推荐中以单一特征为主,多维度学习者模型研究较少的问题,文中以CELTS-11学习者模型规范为基础,以教育学相关理论为指导,对学习者的学习风格、知识状态、认知能力、兴趣偏好等多维度的个性化特征进行细化分类研究。利用教育数据挖掘等技术获得学习者特征项,进而构建出个性化的多维度学习者模型。该模型为后续在线学习个性化的推送服务提供有力的依据。

多媒体视频健康知识宣教对乳腺癌化疗患者疾病认知及自我管理的作用效果

目的探讨多媒体视频健康知识宣教对乳腺癌化疗患者疾病认知及自我管理的作用效果。方法选取2019年1月至2022年1月于江苏省人民医院接受化疗的92例乳腺癌患者,按随机数字表法将其分为对照组和试验组,每组46例。对照组接受传统常规护理宣教,试验组在对照组基础上接受多媒体视频健康知识宣教,两组均宣教6周。比较两组干预前后化疗知识掌握情况、自我管理效能及化疗不良反应。结果干预前,两组化疗调查问卷各维度评分比较,差异无统计学意义(P>0.05);干预后,两组化疗调查问卷各维度评分均高于干预前,且试验组高于对照组,差异有统计学意义(P<0.05)。干预前,两组健康促进策略问卷(SUPPH)各维度评分比较,差异无统计学意义(P>0.05);干预后,两组SUPPH各维度评分均高于干预前,且试验组高于对照组,差异有统计学意义(P<0.05)。试验组化疗不良反应总发生率低于对照组,差异有统计学意义(P<0.05)。结论多媒体视频健康知识宣教可提升乳腺癌化疗患者对化疗知识认知及自我效能水平,降低不良反应发生率。