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Communicative Associative Logic of Cognitive Professional Robot with Imitative Thinking

机译：具有模仿思维的认知专业机器人的交流联想逻辑

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There are two main approaches to hardware-software realization of imitative thinking of cognitive robots. On the basis of machine learning. Such cognitive robots are used in services industry, for the commercial and entertaining purposes. In article approach to creation of cognitive robots on the basis of modeling of communicative and associative logic of imitative thinking of the person is considered. Cognitive robots on the basis of modeling of communicative and associative logic of imitative thinking of the person are used as lecturers and consultants. also in professional activity when concepts and competences are strictly defined. The communicative and associative logic of thinking allows to create the symbolical conceiving robot capable to study, realize information requirements (tasks), to train subject areas, to communicate with the help of the speech, to read and write in various languages. The robot on the basis of symbolical language communicative logic solves a problem of the automated imitation of imitative thinking with associative and communicative symbolical language elements of knowledge. The main practical objectives of imitation of imitative thinking are drawing up the intrinsic focused dictionaries of the developed subject domains of knowledge and standard information requirements; drawing up standard procedures of realization of information requirements; formation of networks from communicative and associative symbolical language elements of knowledge of subject domains; expansion of a natural language to functional; creation of systems of speech and text communication in a natural language and recognitions of the speech of interlocutors.
机译：认知机器人模仿思维的软硬件实现主要有两种方法。在机器学习的基础上。这样的认知机器人用于商业和娱乐目的的服务行业。在本文中，考虑了在模仿人的思维方式的交往和联想逻辑的基础上创建认知机器人的方法。基于人的模仿思维的交流和联想逻辑建模的认知机器人被用作讲师和顾问。在职业活动中，也要严格定义概念和能力。思维的交际和联想逻辑允许创建象征性的构想机器人，该机器人能够学习，实现信息需求（任务），训练学科领域，在语音帮助下进行交流，以多种语言进行读写。基于符号语言交流逻辑的机器人解决了具有联想和交流符号语言知识的自动模仿模仿思维的问题。模仿思维的主要实践目标是制定知识和标准信息要求的发达学科领域的内在重点词典;拟订实现信息要求的标准程序;由学科领域知识的交际和联想符号语言元素形成网络;将自然语言扩展到功能;以自然语言创建语音和文本交流系统，并识别对话者的语音。

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