Some insights into the emergence of agent-based modelling

Heath, Brian L.; Hill, Raymond R.

doi:10.1057/jos.2010.16

Cited by 27 publications

(11 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The macro system-level behavior emerges from the sum of the individual agent behavior patterns (Behdani 2012). Thus, the advantages of ABS are based on the ability to explain and evaluate complex adapting systems and their unexpectedly occurring new behavior (Heath and Hill 2010).…”

Section: Agent-based Simulationmentioning

confidence: 99%

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

Stoelzle

Wildhaber

2019

Advances in Production, Logistics and Traffic

View full text Add to dashboard Cite

show abstract

Section: Agent-based Simulationmentioning

confidence: 99%

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

Stoelzle

Wildhaber

2019

Advances in Production, Logistics and Traffic

View full text Add to dashboard Cite

show abstract

“…ABM adalah pendekatan pemodelan dalam menganalisis sistem yang kompleks dalam dunia nyata. Menurut Health & Hill (2010) terdapat tiga hal yang mengawali pemunculan metode untuk pemodelan ini, yaitu (1) kemunculan dan perkembangan komputer, (2) kesadaran akan kebutuhan untuk kompleksitas, serta (3) pemahaman akan sistem. Saat ini pemodelan berbasis agen menjadi metode pemodelan yang tepat untuk alternatif pemecahan masalah dalam sistem yang kompleks.…”

Section: Pendahuluan Latar Belakangunclassified

Pemodelan Berbasis Agen (Abm) Untuk Pengelolaan Aktivitas Migrasi Musiman Nelayan Andon Cumi-Cumi Di Pulau Salura

Susiloningtyas

Boer

Adrianto

et al. 2016

Jurnal Sosial Ekonomi Kelautan dan Perikanan

View full text Add to dashboard Cite

Perikanan cumi-cumi di Pulau Salura dibentuk oleh adanya agen nelayan andon, penduduk lokal, serta sumberdaya cumi-cumi. Kehadiran nelayan andon yang melakukan migrasi musiman dari Tanjung Luar di Pulau Lombok sampai ke Pulau Salura dengan aktivitas penangkapan cumi-cumi menjadikan sistem perikanan cumi-cumi ini menjadi berbeda dengan daerah lain. Intensitas migrasi dari nelayan andon yang tinggi berpengaruh terhadap perilaku penduduk lokal, serta kelimpahan sumberdaya cumi-cumi yang ada. Tujuan dari penelitian ini adalah mengkaji model pengelolaan aktivitas migrasi musiman dengan pengaturan alat tangkap yang dibawa. Metode yang digunakan adalah dengan pemodelan berbasis agen (ABM/Agent Base Model) melalui perangkat lunak Netlogo 6.2. Hasil penelitian menunjukkan bahwa pengaturan jumlah unit kapal yang terlibat dalam enangkapan cumi-cumi dalam waktu satu tahun harus diatur. Terdapat sembilan periode migrasi musiman yang dilakukan,sehingga model pengaturan jumlah unit kapal yang optimal untuk dapat menjaga kelimpahan cumi-cumi dan jumlah panenan nelayan adalah sebanyak 18 unit kapal setiap tahunnya. Populasi kelimpahan cumi-cumi yang dihasilkan sebesar 330 kuintal dengan masa regenerasi 42 hari, dan menghasilkan jumlah panenan sebesar 913 kuintal. (Agent Base Model For Seasonal Migration Activity of Squid Andon Fishers at Salura Island)Squid fishery system at Salura Island maked by multiple agent, as andon fishers, local peoples and squid resources. The presence of andon fishers who seasonally migrate from Tanjung Luar of Lombok Island to Salura Island with squid fishing activities makes the squid fishery system is to be different from other regions. The intensity of the migration of high andon fishers affected the behavior of the local population, as well as squid abundance of resources available. The purpose of this study was to manage the number of ships or fishing gear.The method is agent-based modeling (ABM / Agent Base Model) by used Netlogo 6.2 software. The results showed that the behavior of the agent can be analyzed from behaviors and activities. Setting the number of ships involved in catching squid in a year should be set. There are nine periods of seasonal migration is done, so that the optimal number of ships to be able to maintain the abundance of squid and the number of fishers are harvesting as many as 18 ships annually. The abundance of squid produced by 330 quintal with 42-day period of regeneration, and the squid harvest is 913 quintal.

show abstract

“…The origins of ABS lie in the desire to study complex (adaptive) systems and their emergent behaviours (Heath and Hill, 2010). The approach, that was popularised by the Sante Fe…”

Section: Is the Flat White Model An Agent-based Simulation?mentioning

confidence: 99%

Modelling without queues: adapting discrete-event simulation for service operations

Robinson

2015

Journal of Simulation

View full text Add to dashboard Cite

Some insights into the emergence of agent-based modelling

Cited by 27 publications

References 3 publications

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

Pemodelan Berbasis Agen (Abm) Untuk Pengelolaan Aktivitas Migrasi Musiman Nelayan Andon Cumi-Cumi Di Pulau Salura

Modelling without queues: adapting discrete-event simulation for service operations

Contact Info

Product

Resources

About