AgentO: An Ontology for Modeling Agentic AI Systems

Lecture notes in computer science 2026

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Authors: Andreas Ekelhart, Kabul Kurniawan, Fajar J.; id_orcid 0000-0003-4569-2496 Ekaputra, Elmar Kiesling
DOI: 10.1007/978-3-032-25159-6_16
Cited by: 1
References: 12

Fields of Study & Subjects

Scientific Computing and Data Management Multi-Agent Systems and Negotiation Business Process Modeling and Analysis

Publication details

Journal / source
Lecture notes in computer science
Publisher
Springer Nature Switzerland
Pages
298–320
Publication date
1 January 2026
Language
EN