中南林业科技大学高水平科研论文引文分析——基于SCI/SSCI/A＆HCI

以网络版ISI Web of Science数据库为依据,对中南林业科技大学自更名以来发表的论文被SCI/SSCI/A＆HCI收录和引用的情况进行了统计分析,并按出版年、科研领域和科研方向、高产作者和高被引作者、科研合作情况及学术影响力等方面做了较为详细的分析研究,最后提出了几点为提升中南林业科技大学的科研实力合理化建议。     

Computational cognitive assistants for futures studies: Toward vision based simulation

Many foresight researchers believe that quantitative simulations have a very restricted contribution in futures studies due to their simplicity and lack of creativity. While qualitative methods, taking advantage of the human cognitive system, have a great potential in addressing a wide range of problems in futures studies, this potential is mostly due to the human visual logic that can handle the task of imagining future scenarios much better than mathematical logic.On the other hand, computational methods benefit from the advantages of silicon-based systems namely speed, large memory, rapid networking, and communication. Hence, it would be extremely beneficial to come up with a solution that combines the positive sides of both qualitative and computational approaches. Cognitive artificial agents are computational units that make use of the human cognitive system. Their interaction with foresight and futures researchers can result in promising solutions for the problems addressed in futures studies. In addition, these agents can serve as a great source of inspiration for taking the first step towards vision based computers that can simulate humans’ imaginations of the future.This paper reviews some of the previous attempts in this field and finally sheds light on the main issues where methods in futures studies can play a key role in the future of Human Computer Interaction systems. Our suggested architecture for a future studies interactions-based system along with its justifications and specifications is provided in the form of a request for proposal.