Thinking Fast and Slow in AI: The Role of Metacognition
However, we are still mostly seeing instances of narrow AI: many of these recent developments are typically focused on a very limited set of competencies and goals, e.g., image interpretation, natural language processing, classification, prediction, and many others. Moreover, while these successes can be accredited to improved algorithms and techniques, they are also tightly linked to the availability of huge datasets and computational power. State-of-the-art AI still lacks many capabilities that would naturally be included in a notion of (human) intelligence.
- ▪However, we are still mostly seeing instances of narrow AI: many of these recent developments are typically focused on a very limited set of competencies and goals, e.g., image interpretation, natural language processing, classification, pr
- ▪Moreover, while these successes can be accredited to improved algorithms and techniques, they are also tightly linked to the availability of huge datasets and computational power.
- ▪State-of-the-art AI still lacks many capabilities that would naturally be included in a notion of (human) intelligence.
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Record
| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2110.01834 |
| Publication time | Mon, 28 Sep 2026 03:23:53 +0000 |
| Retrieval time | 2026-09-28T03:26:08.203Z |
| Last seen | 2026-09-28T03:26:08.203Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | bcaJ-p_pXe9W · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2110.01834 (cs) [Submitted on 5 Oct 2021] Title:Thinking Fast and Slow in AI: the Role of Metacognition Authors:Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable View a PDF of the paper titled Thinking Fast and Slow in AI: the Role of Metacognition, by Marianna Bergamaschi Ganapini and 8 other authors View PDF HTML (experimental) Abstract:AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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