EDBT 2026 Demo / reviewers in the wild / expert
Sitraka Oliva Raharivelo
dblp:228/4463
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Multi-agent systems · 62% Knowledge representation and reasoning · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
normative multi-agent systems |
0.5 | 1 | 2021 | Modeling Institutions in Socio-Ecosystems · IJCAI 2021 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
description logic |
0.1 | 1 | 2021 | Modeling Institutions in Socio-Ecosystems · IJCAI 2021 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › temporal reasoning
spatio-temporal reasoning |
0.1 | 1 | 2021 | Modeling Institutions in Socio-Ecosystems · IJCAI 2021 |
Methods — techniques the papers use, named apart from their topics
description logic · 0.5allen's algebra · 0.5RCC8 · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Modeling Institutions in Socio-EcosystemsabstractIn socio-ecosystems, human activities are structured in time and space by interactions between different regulatory systems with different collective goals. These regulatory systems are modeled by institutions and organizations, and the regulatory mechanisms by norms applied to agents in Multi-Agent Systems (MAS). However, little is said about sharing resources, space and time. In particular, temporal and spatial expressivity is often limited in MAS for institutions and norms. This research proposes an institutional MAS model capable of representing multiple institutions and norms in the socio-ecosystem, in order to account for the multiplicity of interactions through agents, resources, space and time. We propose an extension of Descriptive Logic for the description of institutions and norms, and use Allen's algebra and the RCC8 to represent time and space. The resulting model allows us to know the norms applicable to an agent located socially, spatially and temporally. Sitraka Oliva Raharivelo, Jean-Pierre Müller |
IJCAI | 1 |