A Multiple-Agent Based System for Forecasting the Ice Cream Demand Using Climatic Information

Author(s):  
Wen-Bin Yu ◽  
Hokey Min ◽  
Bih-Ru Lea
2016 ◽  
Vol 10 (1) ◽  
pp. 103
Author(s):  
D. Susiloningtyas ◽  
M. Boer ◽  
Luky Adrianto ◽  
F. Yulianda

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.


2018 ◽  
Vol 15 (6) ◽  
pp. 382-395
Author(s):  
Byung Hoon Oh ◽  
Kwangyeon Kim ◽  
Han-Lim Choi ◽  
Inseok Hwang

2012 ◽  
Vol 220-223 ◽  
pp. 57-60
Author(s):  
Yu Zhang ◽  
Yi Man Dou ◽  
Wen Zheng Cai ◽  
Yun Qin Zhu

High speed labeling machine builds virtual models and completes the design and realization of simulation manipulation by using the platform of virtual reality application of Eon Studio and SDK software, which realizes the communication message transmission among modules and gives the main function through the multi-party communication mechanism and function description, realizes the man-machine interaction function by applying the event driven and routing mechanism, solves better the conflict of multiple Agent by using Agent based-on rule-based reasoning and improved evidence theory, and eventually meets virtual manipulation function requirements of high speed labeling machine


2013 ◽  
Vol 846-847 ◽  
pp. 1885-1888
Author(s):  
Jian Hua Wang ◽  
Yan Yu ◽  
Jun Jie Guo

Over the years, the traditional computer-assisted teaching can not meet the needs of university teaching, the traditional teaching system software, most of the existence of low intelligence, lack of teaching strategies and other shortcomings.Multi-AGENT technology and intelligent tutoring systems is the current research focus in computer intelligence education. Integrating multi-Agent features and multi-Agent application theories in ITS, this paper proposes a multiple Agent-based intelligent network tutoring system design model, detailedly analyzes the functions of each layer in the system, and presents system database category design and system model features.


2003 ◽  
Vol 145 (1-2) ◽  
pp. 147-180 ◽  
Author(s):  
Thomas Schetter ◽  
Mark Campbell ◽  
Derek Surka

2013 ◽  
Vol 846-847 ◽  
pp. 1889-1892
Author(s):  
Yan Yu ◽  
Jian Hua Wang

Network teaching system has changed the way of teaching, with the artificial intelligence technology, Currently, many traditional network teaching system has been unable to meet the needs of the public.After studying the defects in current teaching systems and combining features of multi-agent systems and their application theories in intelligent teaching systems, this paper, integrating the concept of multi-agent systems, discusses the key technologies in multiple agent-based intelligent tutoring systems based on multiple agent-based intelligent tutoring system models. To achieve true intelligent teaching system, simulate real teaching environments, offer customized teaching services, and really realize students' independent learning and collaborative learning.


2002 ◽  
Vol 39 (2) ◽  
pp. 274-283 ◽  
Author(s):  
Mark Campbell ◽  
Thomas Schetter

Sign in / Sign up

Export Citation Format

Share Document