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Ügynökalapú modellezés (ABM)×Legkisebb költségű út / Költség-távolság elemzés×
TudományterületSzimulációTérbeli elemzés
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve1970s–1990s (formalized as a field)1994
MegalkotóThomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)Edsger Dijkstra (shortest path); GIS cost-surface adaptation
TípusComputational simulation methodRaster cost-surface routing
AlapműAxelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. DOI ↗Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
Alternatív nevekABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modelingcost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Kapcsolódó53
ÖsszefoglalóAgent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.
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ScholarGateMódszerek összehasonlítása: Agent-Based Modeling · Least-Cost Path. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare