Human-Interface Approach Towards Multi-Agent System Field Optimization

Abstract

There were still some issues regarding human-interface occurred in multi-agent field or artificial intelligence. In general, due to the rapid advancement of technology into more interactive and intelligent, better human-interface improved the needs of multi-agent systems and artificial intelligence for more use of technologies that can help solve human problems. Vice versa, the human-interface could be improved and eased by using multi-agent or artificial intelligence. In the future aspect, there is also a prospect from the perspective that the human-interface itself could be used to improve the multi-agent or artificial intelligence’s internal process. It needs a learning process as a part of their life cycle to achieve the end goal. It could be a more efficient way to give the agent or the AI some knowledge to choose what is best or meaningful for its next generation of learning. This improvement concept hopes can reduce the duration of the learning process and cut the computation cost of the processing. In this paper, we would explain about the related issues of human-interface aspect in the multi-agent or artificial intelligence field that we got into a study as the specific works of this research into the discussion.