"探索AI前沿：2021机器意识综述与展望"

The study of machine consciousness is one of the most cutting-edge research areas in artificial intelligence. Developing conscious robots holds important scientific significance and practical value for the advancement of AI and robotics. This paper provides an overview of the concepts and theories related to consciousness and sentience, followed by a detailed discussion on the concept, research classification, implementation methods, and computational models of machine consciousness. Special emphasis is placed on quantum methods for achieving machine consciousness. The paper also summarizes the current challenges facing machine consciousness and explores potential future developments, presenting a comprehensive framework for the implementation of machine consciousness. The authors, Qin Rui-Lin, Zhou Chang-Le, and Chao Fei, have provided a thorough review of the state of research in machine consciousness in their paper "A Survey on Machine Consciousness," published in 2021 in the journal Automatica, DOI: 10.16383/j.aas.c200043. This comprehensive survey contributes to the understanding and advancement of machine consciousness in the field of artificial intelligence, shedding light on the forefront of research in this fascinating area of study.