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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, bots wit...     »
ISBN:
978-3-031-53965-7 ; 978-3-031-53966-4
DOI:
10.1007/978-3-031-53966-4_29
URL:
https://doi.org/10.1007/978-3-031-53966-4_29
Department:
Fakultät für Informatik
Institute:
INF 4 - Institut für Angewandte Informatik
Chair:
Karcher, Andreas
Open Access yes or no?:
Nein / No
<u>Fulltext information</u>:

Fulltext version:
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