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Socio-Natural Thought Semantic Link Network: A Method of Semantic Networking in the Cyber Physical Society

机译:社会自然思想的语义链接网络:网络物理社会中的语义网络方法

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Humans have been recognizing, establishing and making use of various relations consciously and unconsciously since the formation of human society. Waving and maintaining various relations accompany everyoneȁ9;s life. Humansȁ9; social behaviors create or emphasize relations. Various networks evolve with the development of society. Some relational networks gradually become independent of individualsȁ9; life during evolution so that they become a part of knowledge and culture sharable cross generations. The study of social relations trace back to the age of Laozi (576ȁ3;BC), Confucius (551ȁ3;479 BC), Thales (624 BCȁ3;546 BC) and Socrates (469 BCȁ3;399 BC). The formal definition of general relation traces to the invention of set theory in 1874. Humans have intelligence to observe and participate in social processes, to think, and to know the effect of establishing a relation. Humans can also actively select appropriate relations and persons according to requirement, situation and social rules. Machines are obviously limited in these abilities. Various graph-based models have been used to connect resources in the cyber space. Two issues are fundamental: (1) machines know little relation in human society and the nature, data structures in machines are for machines to process not for humans to read, so it is not realistic to expect machines to discover social and natural laws and resolve relevant issues without human instruction; and, (2) machines are hard to know the effect of establishing and making use of relations, and to explain computing result according to society and nature. The cause is that machines do not have any worldview. Connecting various networks and machines with nature, society, and even human minds can create a new world where individuals have semantic images that can enhance mutual understanding. The semantic images can be constructed by a Semantic Link Network SLN consisting of nodes with rich semantics--, semantic links between nodes, and rules for reasoning, influencing and evolving the network. Waving semantic link networks in the cyber physical society and exploring the laws of semantic networking are challenge issues.
机译:自人类社会形成以来,人类一直在自觉和不自觉地认识,建立和利用各种关系。挥舞和维护各种关系伴随着每个人的生命。人类ȁ9;社会行为创造或强调关系。各种网络随着社会的发展而发展。一些关系网络逐渐独立于个人ȁ9。进化过程中的生命,使它们成为知识和文化可跨代共享的一部分。社会关系的研究可追溯到老子(576ȁ3; BC),孔子(551ȁ3; 479 BC),Thales(624BCȁ3; 546 BC)和Socrates(469BCȁ3; 399 BC)的时代。一般关系的正式定义可以追溯到1874年集合论的发明。人类具有观察和参​​与社会过程,思考和了解建立关系的作用的智力。人们还可以根据需求,处境和社会规则积极选择合适的关系和人员。机器显然在这些功能上受到限制。各种基于图形的模型已用于连接网络空间中的资源。有两个基本问题:(1)机器对人类社会与自然的关系知之甚少,机器中的数据结构是供机器处理而不供人类阅读的,因此,期望机器发现社会和自然法则并解决问题是不现实的未经人类指导的相关问题; (2)机器很难了解建立和利用关系的效果,并且很难根据社会和自然来解释计算结果。原因是机器没有任何世界观。将各种网络和机器与自然,社会乃至人类的思想联系起来,可以创建一个新世界,其中的个人拥有可以增进相互理解的语义图像。语义图像可以由语义链接网络SLN构造,该语义链接网络SLN由具有丰富语义的节点,节点之间的语义链接以及推理,影响和发展网络的规则组成。在网络物理社会中挥舞语义链接网络并探索语义网络的规律是挑战性的问题。

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