arXiv:2604.21044v1 Announce Type: new Abstract: In some complex domains, certain problem-specific decompositions can provide advantages over monolithic designs by enabling comprehension and specification of the design. In this paper we present an intuitive and tractable approach to reasoning over large and complex data sets. Our approach is based on Active Data, i.e., data as atomic objects that actively interact with environments. We describe our intuition about how this bottom-up approach impr
Full text archived locally
✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 22 Apr 2026]
Active Data
Richard Arthur, Virginia DiDomizio, Louis Hoebel
In some complex domains, certain problem-specific decompositions can provide advantages over monolithic designs by enabling comprehension and specification of the design. In this paper we present an intuitive and tractable approach to reasoning over large and complex data sets. Our approach is based on Active Data, i.e., data as atomic objects that actively interact with environments. We describe our intuition about how this bottom-up approach improves designs confronting computational and conceptual complexity. We describe an implementation of the base Active Data concepts within the air traffic flow management domain and discuss performance for this implementation.
Comments: 9 pages, 7 figures, 2 tables
Subjects: Artificial Intelligence (cs.AI)
ACM classes: E.2; H.3.1; H.3.3; I.2.11; I.2.4
Cite as: arXiv:2604.21044 [cs.AI]
(or arXiv:2604.21044v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2604.21044
Focus to learn more
Journal reference: In: Meersman, R., Tari, Z., Schmidt, D.C. (eds) OTM 2003. Lecture Notes in Computer Science, vol 2888. Springer, Berlin, Heidelberg
Related DOI:
https://doi.org/10.1007/978-3-540-39964-3_91
Focus to learn more
Submission history
From: Richard Arthur [view email]
[v1] Wed, 22 Apr 2026 19:42:09 UTC (463 KB)
Access Paper:
view license
Current browse context:
cs.AI
< prev | next >
new | recent | 2026-04
Change to browse by:
cs
References & Citations
NASA ADS
Google Scholar
Semantic Scholar
Export BibTeX Citation
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Demos
Related Papers
About arXivLabs
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)