User-Like Bots for Cognitive Automation: A Survey
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Abstract (arXiv)
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 web environments' variability and dynamic nature. 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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 5 of its 66 references that are in the map. First posted on arXiv 20 Nov 2023.
Builds on
5 of 66 references.
References · 5
- 2023Consciousness in Artificial Intelligence: Insights from the Science of Consciousnesscited by 99
- 2021Software Engineering for AI-Based Systems: A Surveycited by 68
- 2020Engineering AI Systems: A Research Agendacited by 37
- 2023Towards Cognitive Bots: Architectural Research Challengescited by 5
- 2019Explainable Software Bot Contributions: Case Study of Automated Bug Fixescited by 4
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
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