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Autorinnen/Autoren:
Gidey, Habtom; Hillmann, Peter; Hillmann, Andreas; Knoll, Alois
Dokumenttyp:
Konferenzbeitrag / Conference Paper
Titel:
User-like Bots for Cognitive Automation: A Survey
Titel Konferenzpublikation:
Machine Learning, Optimization, and Data Science
Untertitel Konferenzpublikation:
9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part II
Serie/Reihe:
Lecture Notes in Computer Science, LNCS
Band:
14506
Konferenztitel:
International Conference on Machine Learning, Optimization, and Data Science (9., 2023, Grasmere) ; International Advanced Course & Symposium on Artificial Intelligence & Neuroscience (3., 2023, Grasmere)
Konferenztitel:
ACAIN 2023 - Advanced Course & Symposium on Artificial Intellegence & Neuroscience
Tagungsort:
Grasmere, Lake District, England
Jahr der Konferenz:
2023
Datum Beginn der Konferenz:
22.09.2023
Datum Ende der Konferenz:
26.09.2023
Verlagsort:
Cham, Switzerland
Verlag:
Springer
Jahr:
2024
Seitenbereich:
388-402
Sprache:
Englisch
Stichwörter:
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 zum Inhalt:
https://doi.org/10.1007/978-3-031-53966-4_29
Fakultät:
Fakultät für Informatik
Institut:
INF 4 - Institut für Angewandte Informatik
Professorin/Professor:
Karcher, Andreas
Open Access:
Nein / No
<u>Angaben zum Volltext</u>:

Volltext-Version:
Accepted Version
 BibTeX