Software bots have attracted increasing interest and popularity in both
research and society. Their contributions span automation, digital twins, game
characters with conscious-like behavior, and social media. However, there is
still a lack of intelligent bots that can adapt to web environments'
variability and dynamic nature. Unlike human users, they have difficulty
understanding and exploiting the affordances across multiple virtual
environments.
Despite the hype, bots with human user-like cognition do not currently exist.
Chatbots, for instance, lack situational awareness on the digital platforms
where they operate, preventing them from enacting meaningful and autonomous
intelligent behavior similar to human users.
In this survey, we aim to explore the role of cognitive architectures in
supporting efforts towards engineering software bots with advanced general
intelligence. We discuss how cognitive architectures can contribute to creating
intelligent software bots. Furthermore, we highlight key architectural
recommendations for the future development of autonomous, user-like cognitive
bots.

本文旨在探讨认知架构在支持具备高级综合智能的软件机器人工程方面的作用，以及如何利用认知架构创造智能软件机器人。此外，我们还强调了未来发展自主用户智能型机器人的关键架构建议。