{"id":475829,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:21","modified_gmt":"2023-09-05T11:11:21","slug":"agent-based-model-abm","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/agent-based-model-abm\/","title":{"rendered":"Arac\u0131 tabanl\u0131 model (ABM)"},"content":{"rendered":"<h2>Etmen Tabanl\u0131 Modelin (ABM) K\u00f6keni Tarihi<\/h2>\n<p>Etmen tabanl\u0131 modelleme (ABM), karma\u015f\u0131k sistemleri anlamak i\u00e7in bireylerin (ajanlar\u0131n) davran\u0131\u015flar\u0131n\u0131 ve etkile\u015fimlerini sim\u00fcle eden bir hesaplamal\u0131 modelleme tekni\u011fidir. ABM kavram\u0131n\u0131n ge\u00e7mi\u015fi 1940&#039;lara kadar uzan\u0131yor, ancak 1990&#039;larda bilgi i\u015flem g\u00fcc\u00fc ve teknolojisindeki ilerlemelerle \u00f6n plana \u00e7\u0131kt\u0131.<\/p>\n<p>ABM&#039;nin ilk s\u00f6z\u00fc, 1944&#039;te &quot;Oyunlar Teorisi ve Ekonomik Davran\u0131\u015f&quot; adl\u0131 kitaplar\u0131nda h\u00fccresel otomat fikrini ortaya koyan matematik\u00e7i John von Neumann ve ekonomist Oskar Morgenstern&#039;in \u00e7al\u0131\u015fmalar\u0131na kadar uzanabilir. H\u00fccresel otomat, sim\u00fclasyonun temelini att\u0131. \u0131zgara benzeri bir ortamda basit kurallara sahip bireysel arac\u0131lar.<\/p>\n<h2>Etmen Tabanl\u0131 Model (ABM) Hakk\u0131nda Detayl\u0131 Bilgi<\/h2>\n<p>Etmen tabanl\u0131 modelleme, etmenlerin belirli kurallar\u0131 takip eden, birbirleriyle ve \u00e7evreleriyle etkile\u015fime giren \u00f6zerk varl\u0131klar oldu\u011fu bir sim\u00fclasyon yakla\u015f\u0131m\u0131d\u0131r. Bu ajanlar, bir pop\u00fclasyondaki bireylerden, biyolojik sistemdeki h\u00fccrelerden, hatta bir bilgisayar a\u011f\u0131ndaki yaz\u0131l\u0131m ajanlar\u0131ndan herhangi biri olabilir. Sim\u00fclasyon ayr\u0131k zaman ad\u0131mlar\u0131nda ilerler ve etmenler kendi i\u00e7 durumlar\u0131na ve \u00e7evre ko\u015fullar\u0131na g\u00f6re kararlar al\u0131rlar.<\/p>\n<p>ABM, bireysel davran\u0131\u015flara ve etkile\u015fimlere sahip heterojen etmenlerin modellenmesine olanak sa\u011flad\u0131\u011f\u0131 i\u00e7in karma\u015f\u0131k sistemlerin anla\u015f\u0131lmas\u0131nda esnek ve a\u015fa\u011f\u0131dan yukar\u0131ya bir yakla\u015f\u0131m sa\u011flar. Basit etmenlerin etkile\u015fimlerinden karma\u015f\u0131k modellerin veya davran\u0131\u015flar\u0131n ortaya \u00e7\u0131kt\u0131\u011f\u0131, ortaya \u00e7\u0131kan olaylar\u0131 sim\u00fcle edebilir ve sistemin dinamiklerine dair i\u00e7g\u00f6r\u00fcler sa\u011flayabilir.<\/p>\n<h2>Etmen Tabanl\u0131 Modelin (ABM) \u0130\u00e7 Yap\u0131s\u0131<\/h2>\n<p>Etmen Tabanl\u0131 Modelin i\u00e7 yap\u0131s\u0131 a\u015fa\u011f\u0131daki bile\u015fenlerden olu\u015fur:<\/p>\n<ol>\n<li>\n<p><strong>Temsilciler<\/strong>: Sistemdeki her birinin nitelikleri, davran\u0131\u015f kurallar\u0131 ve karar verme yetenekleri olan bireysel varl\u0131klar.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7evre<\/strong>: Arac\u0131lar\u0131n davran\u0131\u015f\u0131n\u0131 etkileyen kendi kurallar\u0131 ve ko\u015fullar\u0131yla, arac\u0131lar\u0131n faaliyet g\u00f6sterdi\u011fi alan.<\/p>\n<\/li>\n<li>\n<p><strong>Etkile\u015fimler<\/strong>: Etmenler birbirleriyle ve \u00e7evreleriyle etkile\u015fime girerek durumlar\u0131nda ve genel sistemde de\u011fi\u015fikliklere yol a\u00e7ar.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00fcz\u00fck<\/strong>: Her temsilci, davran\u0131\u015flar\u0131n\u0131, karar verme s\u00fcre\u00e7lerini ve etkile\u015fimlerini belirleyen belirli kurallara uyar.<\/p>\n<\/li>\n<li>\n<p><strong>Zaman<\/strong>: Sim\u00fclasyon, etmenlerin durumlar\u0131n\u0131 g\u00fcncelledi\u011fi ve etkile\u015fimde bulundu\u011fu ayr\u0131 zaman ad\u0131mlar\u0131nda ilerler.<\/p>\n<\/li>\n<\/ol>\n<h2>Etmen Tabanl\u0131 Modelin (ABM) Temel \u00d6zelliklerinin Analizi<\/h2>\n<p>Arac\u0131 Tabanl\u0131 Modelin temel \u00f6zellikleri \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>\n<p><strong>Merkezi olmayan y\u00f6netim<\/strong>: Temsilciler ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015ft\u0131klar\u0131 ve yerel bilgilere dayanarak kararlar verdikleri i\u00e7in ABM modelleri merkezi de\u011fildir.<\/p>\n<\/li>\n<li>\n<p><strong>Ortaya \u00c7\u0131k\u0131\u015f<\/strong>: Karma\u015f\u0131k k\u00fcresel modeller ve davran\u0131\u015flar, basit etmenlerin etkile\u015fimlerinden ortaya \u00e7\u0131kar.<\/p>\n<\/li>\n<li>\n<p><strong>Heterojenlik<\/strong>: Arac\u0131lar, ger\u00e7ek d\u00fcnya sistemlerinin daha ger\u00e7ek\u00e7i temsiline olanak tan\u0131yan \u00e7e\u015fitli niteliklere, davran\u0131\u015flara ve karar verme s\u00fcre\u00e7lerine sahip olabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Uyarlanabilirlik<\/strong>: ABM, temsilcilerin zaman i\u00e7inde stratejilerini \u00f6\u011frendikleri ve ayarlad\u0131klar\u0131 uyarlanabilir davran\u0131\u015flar\u0131 temsil edebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Duyarl\u0131l\u0131k analizi<\/strong>: ABM, etmen davran\u0131\u015f\u0131ndaki veya parametrelerdeki de\u011fi\u015fikliklerin sistemin genel davran\u0131\u015f\u0131 \u00fczerindeki etkisini incelemek amac\u0131yla duyarl\u0131l\u0131k analizi i\u00e7in kullan\u0131labilir.<\/p>\n<\/li>\n<\/ol>\n<h2>Arac\u0131 Tabanl\u0131 Model T\u00fcrleri (ABM)<\/h2>\n<p>Sistemin uygulamas\u0131na ve karma\u015f\u0131kl\u0131\u011f\u0131na ba\u011fl\u0131 olarak \u00e7e\u015fitli Etmen Tabanl\u0131 Model t\u00fcrleri vard\u0131r. Baz\u0131 yayg\u0131n t\u00fcrler \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>\n<p><strong>Sosyal Sistemler<\/strong>: ABM&#039;ler kalabal\u0131k davran\u0131\u015flar\u0131, g\u00f6r\u00fc\u015f dinamikleri ve hastal\u0131klar\u0131n yay\u0131lmas\u0131 gibi insan toplumlar\u0131n\u0131 modellemek i\u00e7in kullan\u0131l\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Ekonomik Sistemler<\/strong>: ABM&#039;ler piyasa dinamiklerini, t\u00fcketici davran\u0131\u015flar\u0131n\u0131 ve finansal sistemleri incelemek i\u00e7in kullan\u0131l\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Ekolojik Sistemler<\/strong>: ABM&#039;ler ekosistemleri, biyolojik \u00e7e\u015fitlili\u011fi ve \u00e7evresel de\u011fi\u015fikliklerin etkilerini ara\u015ft\u0131rmak i\u00e7in kullan\u0131l\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Ula\u015f\u0131m Sistemleri<\/strong>: ABM&#039;ler trafik ak\u0131\u015f\u0131n\u0131, toplu ta\u015f\u0131may\u0131 ve \u015fehir planlamas\u0131n\u0131 sim\u00fcle etmek i\u00e7in kullan\u0131l\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Biyolojik Sistemler<\/strong>: H\u00fccre davran\u0131\u015f\u0131n\u0131, pop\u00fclasyon dinamiklerini ve evrimsel s\u00fcre\u00e7leri modellemek i\u00e7in biyolojide kullan\u0131lan ABM&#039;ler.<\/p>\n<\/li>\n<\/ol>\n<table>\n<thead>\n<tr>\n<th>ABM t\u00fcr\u00fc<\/th>\n<th>Ba\u015fvuru<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Sosyal Sistemler<\/td>\n<td>Kalabal\u0131k davran\u0131\u015f\u0131, g\u00f6r\u00fc\u015f dinamikleri, hastal\u0131\u011f\u0131n yay\u0131lmas\u0131<\/td>\n<\/tr>\n<tr>\n<td>Ekonomik Sistemler<\/td>\n<td>Piyasa dinamikleri, t\u00fcketici davran\u0131\u015flar\u0131, finansal sistemler<\/td>\n<\/tr>\n<tr>\n<td>Ekolojik Sistemler<\/td>\n<td>Ekosistemler, biyolojik \u00e7e\u015fitlilik, \u00e7evresel de\u011fi\u015fiklikler<\/td>\n<\/tr>\n<tr>\n<td>Ula\u015f\u0131m Sistemleri<\/td>\n<td>Trafik ak\u0131\u015f\u0131, toplu ta\u015f\u0131ma, \u015fehir planlamas\u0131<\/td>\n<\/tr>\n<tr>\n<td>Biyolojik Sistemler<\/td>\n<td>H\u00fccre davran\u0131\u015f\u0131, pop\u00fclasyon dinamikleri, evrimsel s\u00fcre\u00e7ler<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Etmen Tabanl\u0131 Modeli (ABM) Kullanma Yollar\u0131, Sorunlar ve \u00c7\u00f6z\u00fcmleri<\/h2>\n<p>Etmen tabanl\u0131 modelleme, \u00e7ok y\u00f6nl\u00fcl\u00fc\u011f\u00fc nedeniyle \u00e7e\u015fitli alanlarda uygulama alan\u0131 bulur. Baz\u0131 yayg\u0131n kullan\u0131m durumlar\u0131 \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>\n<p><strong>Politika Testi<\/strong>: ABM&#039;ler, uygulamadan \u00f6nce farkl\u0131 politikalar\u0131n etkilerini sim\u00fcle etmek i\u00e7in kullan\u0131l\u0131r ve politika yap\u0131c\u0131lar\u0131n bilin\u00e7li kararlar almas\u0131na yard\u0131mc\u0131 olur.<\/p>\n<\/li>\n<li>\n<p><strong>Tahmine Dayal\u0131 Analiz<\/strong>: ABM&#039;ler karma\u015f\u0131k sistemlerin farkl\u0131 ko\u015fullar alt\u0131ndaki davran\u0131\u015f\u0131n\u0131 tahmin etmek i\u00e7in kullan\u0131labilir.<\/p>\n<\/li>\n<li>\n<p><strong>Risk de\u011ferlendirmesi<\/strong>: ABM&#039;ler, hastal\u0131k salg\u0131nlar\u0131 veya finansal piyasalar gibi sistemlerdeki potansiyel risklerin ve zay\u0131f noktalar\u0131n de\u011ferlendirilmesine yard\u0131mc\u0131 olur.<\/p>\n<\/li>\n<li>\n<p><strong>Kaynak y\u00f6netimi<\/strong>: ABM&#039;ler ula\u015f\u0131m, enerji ve \u015fehir planlamas\u0131 gibi alanlarda kaynak tahsisini optimize edebilir.<\/p>\n<\/li>\n<\/ol>\n<p>Ancak ABM&#039;leri kullanman\u0131n zorluklar\u0131 vard\u0131r:<\/p>\n<ul>\n<li>\n<p><strong>Hesaplama Yo\u011funlu\u011fu<\/strong>: B\u00fcy\u00fck \u00f6l\u00e7ekli ABM&#039;ler hesaplama a\u00e7\u0131s\u0131ndan yo\u011fun olabilir ve g\u00fc\u00e7l\u00fc bilgi i\u015flem kaynaklar\u0131 gerektirir.<\/p>\n<\/li>\n<li>\n<p><strong>Veri kullan\u0131labilirli\u011fi<\/strong>: ABM&#039;ler kalibrasyon ve do\u011frulama i\u00e7in her zaman kolayl\u0131kla bulunamayan kapsaml\u0131 verilere ihtiya\u00e7 duyabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Do\u011frulama ve Do\u011frulama<\/strong>: ABM&#039;lerin do\u011frulu\u011funu ve g\u00fcvenilirli\u011fini sa\u011flamak, genellikle basitle\u015ftirmeler ve varsay\u0131mlar i\u00e7erdi\u011finden zorlay\u0131c\u0131 olabilir.<\/p>\n<\/li>\n<\/ul>\n<p>Bu sorunlar\u0131n \u00e7\u00f6z\u00fcmleri \u015funlar\u0131 i\u00e7erir:<\/p>\n<ul>\n<li>\n<p><strong>Paralel Hesaplama<\/strong>: Sim\u00fclasyonlar\u0131 h\u0131zland\u0131rmak i\u00e7in paralel hesaplama tekniklerinin kullan\u0131lmas\u0131.<\/p>\n<\/li>\n<li>\n<p><strong>Veri Toplama Stratejileri<\/strong>: Etkin veri toplama stratejileri geli\u015ftirmek ve farkl\u0131 kaynaklardan gelen verileri kullanmak.<\/p>\n<\/li>\n<li>\n<p><strong>Duyarl\u0131l\u0131k analizi<\/strong>: ABM sonu\u00e7lar\u0131n\u0131n sa\u011flaml\u0131\u011f\u0131n\u0131 de\u011ferlendirmek i\u00e7in duyarl\u0131l\u0131k analizi yap\u0131lmas\u0131.<\/p>\n<\/li>\n<\/ul>\n<h2>Ana \u00d6zellikler ve Benzer Terimlerle Di\u011fer Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<table>\n<thead>\n<tr>\n<th>karakteristik<\/th>\n<th>Arac\u0131 Tabanl\u0131 Model (ABM)<\/th>\n<th>Sistem Dinami\u011fi (SD)<\/th>\n<th>Monte Carlo sim\u00fclasyonu<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ayr\u0131nt\u0131 D\u00fczeyi<\/td>\n<td>Bireysel temsilciler i\u00e7in y\u00fcksek d\u00fczeyde ayr\u0131nt\u0131<\/td>\n<td>Stoklar\u0131n ve ak\u0131\u015flar\u0131n toplu davran\u0131\u015f\u0131<\/td>\n<td>\u0130statistiksel \u00f6rnekleme y\u00f6ntemi<\/td>\n<\/tr>\n<tr>\n<td>Temsilci Etkile\u015fimi<\/td>\n<td>Ajanlar birbirleriyle ve \u00e7evreyle do\u011frudan etkile\u015fime girer<\/td>\n<td>Etkile\u015fim geri bildirim d\u00f6ng\u00fcleri arac\u0131l\u0131\u011f\u0131yla ger\u00e7ekle\u015fir<\/td>\n<td>Temsilci etkile\u015fimi yok<\/td>\n<\/tr>\n<tr>\n<td>Ortaya \u00c7\u0131k\u0131\u015f<\/td>\n<td>Ajan etkile\u015fimleri nedeniyle ortaya \u00e7\u0131kan olaylar g\u00f6zlemlenebilir<\/td>\n<td>Ortaya \u00e7\u0131k\u0131\u015fa daha az vurgu<\/td>\n<td>\u00c7\u0131k\u0131\u015f g\u00f6zlenmedi<\/td>\n<\/tr>\n<tr>\n<td>Karar verme<\/td>\n<td>Temsilciler kendi kurallar\u0131na g\u00f6re \u00f6zerk bir \u015fekilde karar verirler.<\/td>\n<td>Karar verme kurallara dayal\u0131d\u0131r<\/td>\n<td>Kararlar olas\u0131l\u0131ksald\u0131r<\/td>\n<\/tr>\n<tr>\n<td>Karma\u015f\u0131kl\u0131k Y\u00f6netimi<\/td>\n<td>Karma\u015f\u0131k ve uyarlanabilir sistemleri modellemek i\u00e7in \u00e7ok uygundur<\/td>\n<td>Geri bildirim d\u00f6ng\u00fclerine sahip sistemler i\u00e7in daha iyi<\/td>\n<td>Stokastik s\u00fcre\u00e7lere uygun<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Etmen Tabanl\u0131 Modele (ABM) \u0130li\u015fkin Gelece\u011fin Perspektifleri ve Teknolojileri<\/h2>\n<p>Ajan Tabanl\u0131 Modellemenin gelece\u011fi, teknoloji ve bilgi i\u015flem g\u00fcc\u00fcndeki ilerlemeler nedeniyle umut verici umutlar ta\u015f\u0131yor. Baz\u0131 temel perspektifler ve teknolojiler \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>\n<p><strong>Yapay Zeka Entegrasyonu<\/strong>: Daha ger\u00e7ek\u00e7i ve uyarlanabilir etmenler olu\u015fturmak i\u00e7in yapay zeka tekniklerini ABM&#039;lere entegre etmek.<\/p>\n<\/li>\n<li>\n<p><strong>B\u00fcy\u00fck Veri ve ABM<\/strong>: ABM&#039;lerin do\u011frulu\u011funu ve ge\u00e7erlili\u011fini geli\u015ftirmek i\u00e7in b\u00fcy\u00fck verilerden yararlanmak.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7ok \u00f6l\u00e7ekli ABM<\/strong>: Bireysel ajanlardan k\u00fcresel davran\u0131\u015fa kadar farkl\u0131 analiz d\u00fczeylerini birbirine ba\u011flayabilen \u00e7ok \u00f6l\u00e7ekli ABM&#039;lerin geli\u015ftirilmesi.<\/p>\n<\/li>\n<li>\n<p><strong>Sanal Ortamlarda ABM<\/strong>: Etkile\u015fimli sim\u00fclasyonlar ve oyun uygulamalar\u0131 i\u00e7in ABM&#039;lerin sanal ortamlarda kullan\u0131lmas\u0131.<\/p>\n<\/li>\n<\/ol>\n<h2>Proxy Sunucular\u0131 Nas\u0131l Kullan\u0131labilir veya Arac\u0131 Tabanl\u0131 Model (ABM) ile Nas\u0131l \u0130li\u015fkilendirilebilir?<\/h2>\n<p>Proxy sunucular\u0131, \u00f6zellikle web kaz\u0131ma, veri toplama ve da\u011f\u0131t\u0131lm\u0131\u015f sim\u00fclasyonlar\u0131 i\u00e7eren senaryolarda, Arac\u0131 Tabanl\u0131 Modellemenin performans\u0131n\u0131 ve verimlili\u011fini art\u0131rmada \u00e7ok \u00f6nemli bir rol oynar.<\/p>\n<ol>\n<li>\n<p><strong>Veri toplama<\/strong>: ABM&#039;ler \u00e7e\u015fitli \u00e7evrimi\u00e7i kaynaklardan kapsaml\u0131 veri toplamay\u0131 gerektirebilir. Proxy sunucular ara\u015ft\u0131rmac\u0131lar\u0131n farkl\u0131 IP adreslerinden veri toplamas\u0131na olanak tan\u0131yarak h\u0131z s\u0131n\u0131rlar\u0131n\u0131 ve IP engellemeyi ortadan kald\u0131r\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Da\u011f\u0131t\u0131lm\u0131\u015f Bilgi \u0130\u015flem<\/strong>: B\u00fcy\u00fck \u00f6l\u00e7ekli sim\u00fclasyonlarda ABM&#039;ler hesaplama a\u00e7\u0131s\u0131ndan yo\u011fun olabilir. Proxy sunucular\u0131, sim\u00fclasyon g\u00f6revlerinin birden fazla IP adresine da\u011f\u0131t\u0131lmas\u0131n\u0131 sa\u011flayarak hesaplama s\u00fcresini azalt\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Anonimlik ve Gizlilik<\/strong>: Proxy sunucular, hassas veriler i\u00e7eren ara\u015ft\u0131rmalar yaparken veya k\u0131s\u0131tl\u0131 kaynaklara eri\u015firken ara\u015ft\u0131rmac\u0131lar\u0131n anonimli\u011fini ve gizlili\u011fini sa\u011flar.<\/p>\n<\/li>\n<li>\n<p><strong>Y\u00fck dengeleme<\/strong>: Proxy sunucular\u0131, veri toplama veya sim\u00fclasyonlar s\u0131ras\u0131nda y\u00fck\u00fcn dengelenmesine yard\u0131mc\u0131 olarak sunucunun a\u015f\u0131r\u0131 y\u00fcklenmesini \u00f6nler.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Arac\u0131 Tabanl\u0131 Model (ABM) hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 inceleyebilirsiniz:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.santafe.edu\/what-we-do\/projects\/agent-based-modeling\" target=\"_new\" rel=\"noopener nofollow\">Santa Fe Enstit\u00fcs\u00fc \u2013 Etmen Tabanl\u0131 Modelleme<\/a><\/li>\n<li><a href=\"https:\/\/jasss.soc.surrey.ac.uk\/\" target=\"_new\" rel=\"noopener nofollow\">Yapay Toplumlar ve Sosyal Sim\u00fclasyon Dergisi (JASSS)<\/a><\/li>\n<li><a href=\"https:\/\/ccl.northwestern.edu\/netlogo\/\" target=\"_new\" rel=\"noopener nofollow\">NetLogo \u2013 \u00c7ok Arac\u0131l\u0131 Programlanabilir Modelleme Ortam\u0131<\/a><\/li>\n<li><a href=\"https:\/\/www.anylogic.com\/agent-based-modeling\/\" target=\"_new\" rel=\"noopener nofollow\">AnyLogic \u2013 Arac\u0131 Tabanl\u0131 Sim\u00fclasyon Yaz\u0131l\u0131m\u0131<\/a><\/li>\n<\/ol>\n<p>Sonu\u00e7 olarak Etmen Tabanl\u0131 Modelleme, bireysel etmenlerin davran\u0131\u015flar\u0131n\u0131 ve etkile\u015fimlerini sim\u00fcle ederek karma\u015f\u0131k sistemlere ili\u015fkin de\u011ferli bilgiler sa\u011flayan g\u00fc\u00e7l\u00fc bir hesaplama arac\u0131d\u0131r. Teknolojideki s\u00fcrekli ilerlemeler ve \u00e7e\u015fitli alanlarda artan uygulamalarla ABM, gelecekte de karma\u015f\u0131k sistemleri anlama ve y\u00f6netmede hayati bir teknik olmaya devam edecek. Proxy sunucularla birle\u015ftirildi\u011finde ABM&#039;ler daha da \u00e7ok y\u00f6nl\u00fc ve verimli hale gelir ve ara\u015ft\u0131rmac\u0131lar\u0131n daha b\u00fcy\u00fck \u00f6l\u00e7ekli sorunlar\u0131n \u00fcstesinden gelmesine ve web&#039;den de\u011ferli veriler \u00e7\u0131karmas\u0131na olanak tan\u0131r.<\/p>","protected":false},"featured_media":467509,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475829","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Agent-based model (ABM) - An Overview<\/mark>","faq_items":[{"question":"What is Agent-based Modeling (ABM)?","answer":"<p>Agent-based Modeling (ABM) is a computational modeling technique that simulates the behavior of individual entities called agents and their interactions to understand complex systems. It provides a bottom-up approach to study emergent phenomena and diverse behaviors in various fields.<\/p>"},{"question":"How did Agent-based Modeling (ABM) originate?","answer":"<p>The concept of ABM traces back to the 1940s with the introduction of cellular automata by John von Neumann and Oskar Morgenstern. However, it gained prominence in the 1990s due to advancements in computing technology.<\/p>"},{"question":"How does Agent-based Modeling (ABM) work?","answer":"<p>ABM involves agents that follow specific rules and interact with each other and their environment in discrete time steps. The simulation progresses based on agent decisions, resulting in emergent patterns and system dynamics.<\/p>"},{"question":"What are the key features of Agent-based Modeling (ABM)?","answer":"<p>The key features of ABM include decentralization, emergence of complex patterns, heterogeneity in agents' behavior, adaptability, and sensitivity analysis to understand system dynamics better.<\/p>"},{"question":"What types of systems can be modeled using Agent-based Modeling (ABM)?","answer":"<p>ABM finds application in various fields, including social systems, economic systems, ecological systems, transportation systems, and biological systems. It can simulate crowd behavior, market dynamics, ecosystems, traffic flow, and more.<\/p>"},{"question":"How can Agent-based Modeling (ABM) be used?","answer":"<p>ABM is used for policy testing, predictive analysis, risk assessment, and resource management. It helps in making informed decisions, forecasting system behavior, assessing vulnerabilities, and optimizing resource allocation.<\/p>"},{"question":"What are the challenges in using Agent-based Modeling (ABM)?","answer":"<p>The challenges in using ABM include computational intensity for large-scale models, data availability for calibration and validation, and ensuring accuracy and reliability.<\/p>"},{"question":"What are the perspectives and technologies of the future related to Agent-based Modeling (ABM)?","answer":"<p>The future of ABM includes AI integration, leveraging big data, multi-scale modeling, and using ABM in virtual environments for interactive simulations.<\/p>"},{"question":"How are proxy servers associated with Agent-based Modeling (ABM)?","answer":"<p>Proxy servers enhance ABM by enabling efficient data collection, distributed computing for large-scale simulations, ensuring anonymity and privacy, and load balancing tasks.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/475829","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/475829\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/467509"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=475829"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}