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Yang, Q., et al. (2023) Spontaneous Recovery of Reward Memory through Active Forgetting of Extinction Memory. Current Biology, 33, 838-848.E3.
https://doi.org/10.1016/j.cub.2023.01.022

has been cited by the following article:

• TITLE: The Reward and Punishment System (Reinforcement Learning System) for Strong Artificial Intelligence and Human

  AUTHORS: Hongwen Cheng

  KEYWORDS: Strong Artificial Intelligence, State Centre, Expectation of Rewards and Punishments, Purpose Centre, Strength Centre, Mindset

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.11, November 4, 2025

  ABSTRACT: The reward and punishment system is one of the fundamental reasons why humans possess intelligence. In order for strong artificial intelligence software to have true intelligence, it must have an appropriate reward and punishment system. This article discusses the structure and functions of the reward and punishment system for strong artificial intelligence from the perspectives of programming and personification, as well as some important reward and punishment phenomena. On this basis, this paper discussed the reward and punishment system that obtained through programming based on my theory how processes stimulus information under the purpose, how to adapt the thinking and behavior of strong artificial intelligence software to the environment through reward and punishment learning, and how to accelerate its learning speed and ability to adapt to the environment.