TY - GEN
T1 - Towards Cognitive Bots
T2 - 16th International Conference on Artificial General Intelligence, AGI 2023
AU - Gidey, Habtom Kahsay
AU - Hillmann, Peter
AU - Karcher, Andreas
AU - Knoll, Alois
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - cognitive architecture
KW - cognitive bot
KW - problematization
UR - http://www.scopus.com/inward/record.url?scp=85163314640&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-33469-6_11
DO - 10.1007/978-3-031-33469-6_11
M3 - Conference contribution
AN - SCOPUS:85163314640
SN - 9783031334689
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 105
EP - 114
BT - Artificial General Intelligence - 16th International Conference, AGI 2023, Proceedings
A2 - Hammer, Patrick
A2 - Alirezaie, Marjan
A2 - Strannegård, Claes
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 16 June 2023 through 19 June 2023
ER -