TY - GEN
T1 - User-Like Bots for Cognitive Automation
T2 - 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023
AU - Gidey, Habtom Kahsay
AU - Hillmann, Peter
AU - Karcher, Andreas
AU - Knoll, Alois
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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 the variability and dynamic nature of digital web environments. 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.
AB - 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 the variability and dynamic nature of digital web environments. 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.
KW - cognitive architecture
KW - cognitive automation
KW - software bot
UR - http://www.scopus.com/inward/record.url?scp=85186265594&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-53966-4_29
DO - 10.1007/978-3-031-53966-4_29
M3 - Conference contribution
AN - SCOPUS:85186265594
SN - 9783031539657
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 388
EP - 402
BT - Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Revised Selected Papers
A2 - Nicosia, Giuseppe
A2 - Ojha, Varun
A2 - La Malfa, Emanuele
A2 - La Malfa, Gabriele
A2 - Pardalos, Panos M.
A2 - Umeton, Renato
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 September 2023 through 26 September 2023
ER -