Towards Cognitive Bots: Architectural Research Challenges
- URL: http://arxiv.org/abs/2305.17308v1
- Date: Fri, 26 May 2023 23:51:49 GMT
- Title: Towards Cognitive Bots: Architectural Research Challenges
- Authors: Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher, Alois Knoll
- Abstract summary: Software bots operating in multiple virtual digital platforms must understand the platforms' affordances and behave like human users.
present-day bots are far from reaching a human user's behavior level within complex business information systems.
- Score: 2.365702128814616
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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