There has been a framework sketched for learning deep bidirectional intelligence.The framework has an inbound that features two actions:one is the acquiring action,which gets inputs in appropriate patterns,and the oth...There has been a framework sketched for learning deep bidirectional intelligence.The framework has an inbound that features two actions:one is the acquiring action,which gets inputs in appropriate patterns,and the other is A-S cognition,derived from the abbreviated form of words abstraction and self-organization,which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies.The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration.The framework also has an outbound that comes with two actions.One is called I-S reasoning,which makes inference and synthesis(I-S)and is responsible for performing various tasks including image thinking and problem solving,and the other is called the interacting action,which controls,communicates with,and inspects the environment.Based on this framework,we further discuss the possibilities of design intelligence through synthesis reasoning.展开更多
A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design ...A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported.展开更多
In this paper, we address the demanding task of developing intelligent systems equippedwith machine creativity that can perform design tasks automatically. The main challenge is howto model human beings creativity mat...In this paper, we address the demanding task of developing intelligent systems equippedwith machine creativity that can perform design tasks automatically. The main challenge is howto model human beings creativity mathematically and mimic such creativity computationally. Wepropose a “synthesis reasoning model” as the underlying mechanism to simulate human beingscreative thinking when they are handling design tasks. We present the theory of the synthesisreasoning model, and the detailed procedure of designing an intelligent system based on the model.We o?er a case study of an intelligent Chinese calligraphy generation system which we have developed.Based on implementation experiences of the calligraphy generation system as well as a few othersystems for solving real-world problems, we suggest a generic methodology for constructing intelligentsystems using the synthesis reasoning model.展开更多
基金Project supported by the National New Generation Artificial Intelligence Project,China(No.2018AAA0100700)the Zhiyuan Chair Professorship Start-up Grant from Shanghai Jiao Tong University,China(No.WF220103010)。
文摘There has been a framework sketched for learning deep bidirectional intelligence.The framework has an inbound that features two actions:one is the acquiring action,which gets inputs in appropriate patterns,and the other is A-S cognition,derived from the abbreviated form of words abstraction and self-organization,which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies.The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration.The framework also has an outbound that comes with two actions.One is called I-S reasoning,which makes inference and synthesis(I-S)and is responsible for performing various tasks including image thinking and problem solving,and the other is called the interacting action,which controls,communicates with,and inspects the environment.Based on this framework,we further discuss the possibilities of design intelligence through synthesis reasoning.
基金supported by the National Key R&D Program of China(No.2017YFC1308502)the National Natural Science Foundation of China(No.81471734)
文摘A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported.
文摘In this paper, we address the demanding task of developing intelligent systems equippedwith machine creativity that can perform design tasks automatically. The main challenge is howto model human beings creativity mathematically and mimic such creativity computationally. Wepropose a “synthesis reasoning model” as the underlying mechanism to simulate human beingscreative thinking when they are handling design tasks. We present the theory of the synthesisreasoning model, and the detailed procedure of designing an intelligent system based on the model.We o?er a case study of an intelligent Chinese calligraphy generation system which we have developed.Based on implementation experiences of the calligraphy generation system as well as a few othersystems for solving real-world problems, we suggest a generic methodology for constructing intelligentsystems using the synthesis reasoning model.
