Agent-based Generalization
Agent-Based Generalization is a cartographic generalization method in which autonomous computational agents, representing geographic features or map objects, iteratively perform localized generalization operations through rule-based behaviors and spatial interactions, thereby collectively achieving global map simplification while preserving spatial relationships and context-specific constraints.
21
Publications
725
Citations
65
Authors
29
Institutions
Publications per year
2017–2026
12
Parents
21
The application of agents in automated map generalization
S. Lamy, Anne Ruas, Y. Demazeu et al. · 1999 · 86 citations
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté et al. · 2021 · 52 citations
1–5 of 21
65
4
h-index
4
h-index
Institut national de l’information géographique et forestière, France
4 publications · 145 citations
4
h-index
4
h-index
Institut national de l’information géographique et forestière, France
3 publications · 191 citations
3
h-index
1–5 of 65
29
Institut national de l’information géographique et forestière
Saint-Mandé, France
4 h-index
8 publications
257 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
100 citations

Université Laval
Québec, Canada
2 h-index
5 publications
58 citations
Paris-Est Sup
Champs-sur-Marne, France
2 h-index
4 publications
114 citations
Université Gustave Eiffel
Champs-sur-Marne, France
2 h-index
4 publications
196 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
240 citations
University of Washington
Seattle, United States
2 h-index
2 publications
80 citations
New York University
New York, United States
2 h-index
8 publications
88 citations
1–8 of 29
Repository · 5 publications · 207 citations
5
h-index
AJIC · 1 publications · 30 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 14 citations
1
h-index
1–5