Using Agent Based Modelling to Integrate Data on Attitude Change

2014 ◽  
Vol 19 (1) ◽  
pp. 159-174 ◽  
Author(s):  
Edmund Chattoe-Brown
Keyword(s):  
Attitude Change ◽  
Research Strategy ◽  
Attitude Dynamics ◽  
Data Types ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Attitude Research ◽  
Research Interviews ◽  
Using Data ◽  
Integrate Data

This article has two goals. Firstly, it shows how a relatively novel technique (Agent Based Modelling, hereafter ABM) can integrate different data types that are often used only in separate strands of research (interviews, experiments and surveys). It does this by comparing a well-known ABM of attitude dynamics with an alternative model using data from surveys and experiments. Secondly, the article explains ABM methodology and why it is important to the distinctiveness of ABM as a research method. In particular, the ramifications of differing approaches to ABM calibration and validation are discussed using the two different ABM as examples. The article concludes by showing how ABM might provide a progressive research strategy for integrating different data types and thus different disciplines in attitude research.

Leveraging peer-to-peer farmer learning to facilitate better strategies in smallholder dairy husbandry

2020 ◽  
pp. 105971232097136
Author(s):  
Devotha G Nyambo ◽  
Edith T Luhanga ◽  
Zaipuna O Yonah ◽  
Fidalis DN Mujibi ◽  
Thomas Clemen
Keyword(s):  
Milk Yield ◽  
Peer Learning ◽  
Peer To Peer ◽  
Inexpensive Method ◽  
Dairy Farmers ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Farmer Groups ◽  
Using Data ◽  
New Strategies

Peer-to-peer learning paradigm is seldom used in studying how farmers can increase yield. In this article, agent-based modelling has been applied to study the chances of dairy farmers increasing annual milk yield by learning better farming strategies from each other. Two sets of strategies were considered; in one set ( S), each farmer agent would possess a number of farming strategies based on their knowledge, and in a second set [Formula: see text], farmer agents would possess farming strategies that they have adopted from their peers. Regression models were used to determine litres of milk that could be produced whenever new strategies were applied. By using data from Ethiopia and Tanzania, 28 and 25 determinants for increase in milk yield were fitted for the two countries, respectively. There was a significant increase in average milk yield as the farmer agents interacted and updated their [Formula: see text]– from baseline data, average milk yield of 12.7 ± 4.89 and 13.62 ± 4.47 to simulated milk yield average of 17.57 ± 0.72 and 20.34 ± 1.16 for Tanzania and Ethiopia, respectively. The peer-to-peer learning approach details an inexpensive method manageable by the farmers themselves. Its implementation could range from physical farmer groups to online interactions.

scholarly journals The “mutual ignoring” mechanism of cyberbalkanization: triangulating observational data analysis and agent-based modelling

2018 ◽  
Author(s):  
Chung-hong Chan ◽  
King-wa Fu
Keyword(s):  
Data Analysis ◽  
Balance Theory ◽  
Network Configuration ◽  
Agent Based ◽  
Agent Based Modelling ◽  
The Social ◽  
Social Balance Theory ◽  
Social Balance ◽  
Using Data ◽  
Facebook Pages

Cyberbalkanization has been observed in some online activities, but its mechanism remains uncertain. Drawing on the Social Balance Theory, we theorized that the formation of “mutual ignoring” triads (three actors in a group with only a pair of interacts) in a network is a key procedure for cyberbalkanization. A cyberbalkanized network was constructed using data shared on Facebook Pages during the 2014 Hong Kong protests. Our findings indicate “mutual ignoring” was a prominent triad network configuration, whereas no such configuration was found in randomly generated networks. Our empirical-based observation was retested with simulation by agent-based model, confirming that “mutual ignoring” is essential for the emergence of cyberbalkanization. A strategy is then suggested to minimize cyberbalkanization.

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Skin Stem Cell Hypotheses and Long Term Clone Survival – Explored Using Agent-based Modelling

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
X. Li ◽  
A. K. Upadhyay ◽  
A. J. Bullock ◽  
T. Dicolandrea ◽  
J. Xu ◽  
...  
Keyword(s):  
Stem Cell ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

A Comparison between Agent-Based and GIS-Based Tsunami Evacuation Simulations: A Case Study for Tofino, BC

2021 ◽  
Author(s):  
Joseph Kim ◽  
Tomoyuki Takabatake ◽  
Ioan NISTOR ◽  
Tomoya Shibayama
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Mortality Rates ◽  
Geographical Information ◽  
Evacuation Planning ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Validation Tool

Soft measures such as evacuation planning are recommended to mitigate the loss of life during tsunamis. Two types of evacuation models are widely used: (1) Agent-based modelling (ABM) defines sets of rules that individual agents in a simulation follow during a simulated evacuation. (2) Geographical information systems (GIS) are more accessible to city planners, but cannot incorporate the dynamic behaviours found in ABMs. The two evacuation modelling methodologies were compared through a case study by assessing the state of evacuation preparedness and investigating potential mitigation options. The two models showed different magnitudes for mortality rates and facility demand but had similar trends. Both models agreed on the best solution to reduce the loss of life for the community. GIS may serve as a useful tool for initial investigation or as a validation tool for ABMs. ABMs are recommended for use when modelling evacuation until GIS methodologies are further developed.

Agent-based modelling of car platooning for traffic optimization

2021 ◽  
Author(s):  
Michal Lemiec ◽  
Karol Malinowski ◽  
Mateusz Szymonski ◽  
Maria Ganzha ◽  
Marcin Paprzycki
Keyword(s):  
Agent Based ◽  
Agent Based Modelling ◽  
Traffic Optimization
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