Agent based graphical user interface architecture for consumer products

1996 ◽  
Vol 42 (4) ◽  
pp. 1044-1049 ◽  
Author(s):  
N. Kushiro ◽  
K. Sato ◽  
N. Komiya ◽  
M. Nakata ◽  
M. Inoue ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Consumer Products ◽  
Agent Based

Modelling and Simulating Complex Systems in Biology

2020 ◽  
pp. 898-929
Author(s):  
Pascal Ballet ◽  
Jérémy Rivière ◽  
Alain Pothet ◽  
Michaël Theron ◽  
Karine Pichavant ◽  
...  
Keyword(s):  
High Schools ◽  
User Interface ◽  
Middle Schools ◽  
Graphical User Interface ◽  
Source Code ◽  
Agent Based ◽  
Molecular Systems ◽  
Qualitative Survey ◽  
Multi Agent ◽  
Research And Education

Modelling and teaching complex biological systems is a difficult process. Multi-Agent Based Simulations (MABS) have proved to be an appropriate approach both in research and education when dealing with such systems including emergent, self-organizing phenomena. This chapter presents NetBioDyn, an original software aimed at biologists (students, teachers, researchers) to easily build and simulate complex biological mechanisms observed in multicellular and molecular systems. Thanks to its specific graphical user interface guided by the multi-agent paradigm, this software does not need any prerequisite in computer programming. It thus allows users to create in a simple way bottom-up models where unexpected behaviours can emerge from many interacting entities. This multi-platform software has been used in middle schools, high schools and universities since 2010. A qualitative survey is also presented, showing its ability to adapt to a wide and heterogeneous audience. The Java executable and the source code are available online at http://virtulab.univ-brest.fr.

scholarly journals Modelling and Simulating Complex Systems in Biology

2017 ◽  
pp. 128-158 ◽  
Author(s):  
Pascal Ballet ◽  
Jérémy Rivière ◽  
Alain Pothet ◽  
Michaël Theron ◽  
Karine Pichavant ◽  
...  
Keyword(s):  
High Schools ◽  
User Interface ◽  
Middle Schools ◽  
Graphical User Interface ◽  
Source Code ◽  
Agent Based ◽  
Molecular Systems ◽  
Qualitative Survey ◽  
Multi Agent ◽  
Research And Education

Modelling and teaching complex biological systems is a difficult process. Multi-Agent Based Simulations (MABS) have proved to be an appropriate approach both in research and education when dealing with such systems including emergent, self-organizing phenomena. This chapter presents NetBioDyn, an original software aimed at biologists (students, teachers, researchers) to easily build and simulate complex biological mechanisms observed in multicellular and molecular systems. Thanks to its specific graphical user interface guided by the multi-agent paradigm, this software does not need any prerequisite in computer programming. It thus allows users to create in a simple way bottom-up models where unexpected behaviours can emerge from many interacting entities. This multi-platform software has been used in middle schools, high schools and universities since 2010. A qualitative survey is also presented, showing its ability to adapt to a wide and heterogeneous audience. The Java executable and the source code are available online at http://virtulab.univ-brest.fr.

HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

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