Software bots operating in multiple virtual digital platforms must understand
the platforms' affordances and behave like human users. Platform affordances or
features differ from one application platform to another or through a life
cycle, requiring such bots to be adaptable. Moreover, bots in such platforms
could cooperate with humans or other software agents for work or to learn
specific behavior patterns. However, present-day bots, particularly chatbots,
other than language processing and prediction, are far from reaching a human
user's behavior level within complex business information systems. They lack
the cognitive capabilities to sense and act in such virtual environments,
rendering their development a challenge to artificial general intelligence
research. In this study, we problematize and investigate assumptions in
conceptualizing software bot architecture by directing attention to significant
architectural research challenges in developing cognitive bots endowed with
complex behavior for operation on information systems. As an outlook, we
propose alternate architectural assumptions to consider in future bot design
and bot development frameworks.

本研究探讨了开发认知机器人的架构研究挑战，提出了未来机器人设计和开发框架中需要考虑的替代性架构假设，针对虚拟数字平台上操作的软件机器人如何理解平台层面和表现出人类用户行为的问题。