Cited by 146Artificial Intelligence ApplicationsAI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Introduction to Artificial Intelligence

Open access
Flasiński, Mariusz·2016·Springer eBooks

Integrity signals

Registry

Crossref · 10.1007/978-3-319-40022-8

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Flasiński, M.
Affiliations
Jagiellonian University (PL)
Corresponding author
Flasiński, Mariusz
Venue
Springer eBooks
Published
2016
OpenAlex
W2505167243
Cited by
146
References
0
Citations by year
2026: 5 · 2025: 14 · 2024: 21 · 2023: 20 · 2022: 24 · 2021: 19 · 2020: 19 · 2019: 10 · 2018: 9 · 2017: 5
FWCI
1.66
Type
book
Language
en
Open access
Locations
  • Springer eBooks (publishedVersion)
  • Jagiellonian University Repository (Jagiellonian University) (submittedVersion, cc-by-nc-nd)
  • DIAL (Catholic University of Leuven) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
Keywords
artificial intelligence, computational intelligence, search algorithms, evolutionary computation, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, artificial neural networks, cognitive architecture, intelligence theory, philosophy of mind, psychology of intelligence, history of artificial intelligence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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