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Authors:
Gidey, Habtom; Hillmann, Peter; Hillmann, Andreas; Knoll, Alois 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
User-like Bots for Cognitive Automation: A Survey 
Title of conference publication:
Machine Learning, Optimization, and Data Science 
Subtitle of conference publication:
9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II 
Series title:
Lecture Notes in Computer Science, LNCS 
Series volume:
14506 
Conference title:
International Conference on Machine Learning, Optimization, and Data Science (9., 2023, Grasmere) ; International Advanced Course & Symposium on Artificial Intelligence & Neuroscience (3., 2023, Grasmere) 
Conference title:
ACAIN 2023 - Advanced Course & Symposium on Artificial Intellegence & Neuroscience 
Venue:
Grasmere, Lake District, England 
Year of conference:
2023 
Date of conference beginning:
22.09.2023 
Date of conference ending:
26.09.2023 
Place of publication:
Cham, Switzerland 
Publisher:
Springer 
Year:
2024 
Pages from - to:
388-402 
Language:
Englisch 
Keywords:
software bot ; cognitive architecture ; cognitive automation 
Abstract:
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, b...    »
 
ISBN:
978-3-031-53965-7 ; 978-3-031-53966-4 
Department:
Fakultät für Informatik 
Institute:
INF 4 - Institut für Angewandte Informatik 
Chair:
Karcher, Andreas 
Open Access yes or no?:
Nein / No 
Fulltext information:

 
Fulltext version:
Accepted Version