Research status and development trends on evaluation and decision-making for product innovative design driven by man-machine hybrid intelligence
The rapid changes of design environment and the increasing complexity of design requirements make the current product innovation design process more difficult to control.As a new mode that combines the advantages of human intelligence and artificial intelligence,human-machine hybrid intelligence brings new opportunities for the e-valuation and decision-making of product innovation design.Through product innovation design evaluation and deci-sion-making driven by human-machine hybrid intelligence,the dynamic developing factors in the design process can be handled to select the optimal solution from many design schemes.The basic concepts in human-machine hybrid intelligence-driven evaluation and decision-making of product innovation design were systematically summed up.Fo-cusing on its design evaluation and decision-making process,the related key technologies including constraint satis-faction solution of design problems,spoken language semantic analysis of design subjects,multi-modal perception fusion of design data,search and migration of design knowledge and optimization decision-making of design schemes were presented.The research status and application scenarios of conceptual principle scheme verification and collab-orative virtual product evaluation,structural form intention design and multi-modal product evaluation,innovative design elements extraction and intelligent collaborative scheme evolution,as well as product innovation scheme opti-mization and human-computer interaction swarm intelligent decision-making were deeply analyzed in this field.Ai-ming at the cognition differences between human and smart machines,the connection difficulties the between con-sciousness and formalization,as well as the causal ethics,the future research directions of the evaluation and deci-sion-making of product innovation design driven by human-machine hybrid intelligence were pointed out to provide guidance for the further development of this field.
万方数据
维普
