Wirtualizacja przestrzeni – nowe kierunki aplikacji modelowania wieloagentowego w ekonomii przestrzennej
DOI:
https://doi.org/10.18778/0208-6018.346.01Słowa kluczowe:
modelowanie wieloagentowe, systemy informacji geograficznej, ekonomia miast, ekonomia przestrzennaAbstrakt
W związku z ogromnym postępem technologicznym przed naukami społeczno‑ekonomicznymi otworzyły się nowe płaszczyzny badań złożonych i nie do końca poznanych zjawisk. Jednym z podejść badawczych w tych obszarach jest tzw. modelowanie wieloagentowe (Agent‑Based Modeling) w połączeniu z danymi geograficznymi (GIS). Modelowanie wieloagentowe to metoda, w której budowane są złożone systemy składające się z autonomicznych jednostek (agentów). Między agentami zachodzą interakcje na poziomie mikro, których rezultatem jest ewolucja całego systemu na poziomie makro. Jednym z interesujących trendów modelowania wieloagentowego jest geosymulacja, czyli symulacja wieloagentowa osadzona w świecie wirtualnym, będącym odpowiednikiem realnej, fizycznej przestrzeni. Geosymulacja umożliwia zaawansowane i bardziej realistyczne badania na gruncie ekonomii przestrzennej, socjologii czy psychologii. Niniejszy artykuł pogłębia tę problematykę. Dokonano w nim identyfikacji i porównania dostępnych platform do symulacji wieloagentowej i wybrano trzy, które posiadają wsparcie dla danych geograficznych (GIS). Na tych platformach zaimplementowano dane GIS o zagospodarowaniu przestrzennym dla jednej z dzielnic Poznania. Dokonano również porównania funkcjonalności oprogramowania pod kątem trzech kryteriów: trudności programowania, funkcjonalności i współpracy z danymi GIS oraz dostępności materiałów szkoleniowych. Badania te stanowią wstępny etap opracowania złożonego, społeczno‑ekonomicznego systemu miejskiego, osadzonego w paradygmacie modelowania wieloagentowego.
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