The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Context in problem solving: a survey
Abstract
Dealing with context seems to be a major challenge which the field of Artificial Intelligence (AI) will have to face in the next few years. The importance of the challenge is borne out by the various scientific events focusing on context which have been held since 1995. This does not mean that context has not been studied before—it has in such domains as Natural Language Processing—but it has yet to be studied in depth since previous research has only covered few aspects of the problem. We present in this paper a survey of the literature dealing directly and explicitly with context whatever the domain. This makes it possible for us to have a clear view of context in AI. One of the conclusions of this survey is to point out the existence of different types of context in areas such as the representation of knowledge in a computer system, the reasoning that the system carries out using the knowledge, and the interaction the system has with people.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cognition in Practice: Mind, Mathematics and Culture in Everyday Life
Lave, J. (1988) · doi:10.1017/cbo9780511609268 · Cited by 5,148
The epistemology of a rule-based expert system —a framework for explanation
Clancey, W. J. (1983) · Artificial Intelligence · doi:10.1016/0004-3702(83)90008-5 · Cited by 712
Metadata
- Authors
- Brézillon, P.
- Venue
- The Knowledge Engineering Review
- Publisher
- Maximum Academic Press
- Published
- 1999-05
- Volume
- 14
- Issue
- 1
- Pages
- 47-80
- ISSN
- 0269-8889 (ISSN-L)
- 1469-8005
- OpenAlex
- W1991715658
- Cited by
- 274
- References
- 2
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Context in problem solving: a survey. https://app.cochat.ai/papers/10.1017/s0269888999141018
- The paper
- Brézillon, P. (1999). Context in problem solving: a survey. The Knowledge Engineering Review. https://doi.org/10.1017/s0269888999141018
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
