社会化人工智能的适应性

Research on adaptive of social artificial intelligence

摘要:

实现人工智能的社会化是人工智能发展的核心诉求之一。具身人工智能是实现人工智能从实验室到社会化最可能的路径，其多功能性和具身交互能力是应对社会化不完全信息动态博弈的最佳解决方案。深度进化强化学习证明，具身性为人工智能提供了与现实交互和获取多样信息的通道。社会化算法和多功能方案证明，以解决多任务为目标是实现具身人工智能的最佳路径，可以大幅提高其在社会中的适应性。

Abstract:

To realize the socialization of AI is one of the core demands of AI development.Embodied artificial intelligence is the most possible path to realize artificial intelligence from laboratory to socialization. its versatility and embodied interaction ability are the best solution to deal with the dynamic game of social incomplete information. Deep evolutionary reinforcement learning proves that embodiment provides AI with a channel to interact with reality and obtain diverse information. Social algorithms and multi-function solutions prove that the best way to achieve embodied AI is to solve multiple tasks, which can greatly improve its adaptability in society.