From Childhood Poverty to Catfish

2010 ◽  
Vol 1 (3) ◽  
pp. 14-32 ◽  
Author(s):  
France Cheong ◽  
Brian J. Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

From Childhood Poverty to Catfish

2012 ◽  
pp. 79-98
Author(s):  
France Cheong ◽  
Brian Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

scholarly journals A Hybrid Simulation Modelling Framework for Combining System Dynamics and Agent-Based Models

2021 ◽  
Author(s):  
Le Khanh Ngan Nguyen ◽  
◽  
Susan Howick ◽  
Itamar Megiddo ◽  
◽  
...  
Keyword(s):  
System Dynamics ◽  
Hybrid Simulation ◽  
Simulation Modelling ◽  
Agent Based Models ◽  
Agent Based ◽  
Modelling Framework

scholarly journals Simulation Model to Estimate Emotions in Collaborative Networks

2019 ◽  
Vol 9 (23) ◽  
pp. 5202 ◽  
Author(s):  
Ferrada ◽  
Camarinha-Matos
Keyword(s):  
Simulation Model ◽  
Simulation Modelling ◽  
Research Area ◽  
Collaborative Networks ◽  
Collaborative Network ◽  
Agent Based ◽  
Modelling Framework ◽  
Implementation Approach ◽  
Modelling Techniques ◽  
Technical Features

In recent years, the research on collaborative networks has been pointing to the need to put more emphasis on the social interactions of its participants, along with technical features, as a potential direction to finding solutions to prevent failures and potential conflicts. In this context, a modelling framework called Collaborative EMOtion modelling framework (C-EMO), conceived for appraising the collaborative network emotions that might be present in a collaborative networked environment, is presented, and an implementation approach, based on system dynamics and agent-based simulation modelling techniques, for estimating both the collaborative network emotional state and each member’s emotions, is described. The work is divided in two parts: the first considers the design of the models and the second comprises the transformation of these conceptual models into a computer model, providing the proposed simulation model. In order to validate the simulation model, and taking into consideration the novelty of the research area, experiments are undertaken in different scenarios representing several aspects of a collaborative environment and a sensitivity analysis and discussion of the results is performed.

An Agent-Based Modelling Framework for Urban Agriculture

2019 ◽  
Author(s):  
Adam Ghandar ◽  
Georgios Theodoropoulos ◽  
Miner Zhong ◽  
Bowen Zhen ◽  
Shijie Chen ◽  
...  
Keyword(s):  
Urban Agriculture ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Modelling Framework

Absolute pitch accessible to everyone by turning off part of the brain?

2004 ◽  
Vol 9 (2) ◽  
pp. 181-189 ◽  
Author(s):  
TERRY BOSSOMAIER ◽  
ALLAN SNYDER
Keyword(s):  
Adult Population ◽  
Absolute Pitch ◽  
Agent Based ◽  
Early Maturation ◽  
Inhibitory Processes ◽  
Agent Based Modelling ◽  
Music Recognition ◽  
Modelling Techniques ◽  
The Mind ◽  
The Brain

Absolute (or perfect) pitch exists in fewer than 1/10,000 of the adult population and many claim that it cannot be taught. On the other hand, research suggests that the mechanisms for absolute pitch exist in us all but access is inhibited during early maturation. We here argue that this inhibition can be switched off by artificially turning off part of the brain, allowing everyone access to absolute pitch. This possibility has profound implications for understanding the strategies adopted by the complex networks of the mind. We describe agent-based modelling techniques to understand the computational rationale for these inhibitory processes and to develop new artificial music recognition and synthesis techniques.

Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling

2017 ◽  
Vol 6 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Tatyana Eftonova ◽  
Mariam Kiran ◽  
Mike Stannett
Keyword(s):  
Dynamic Behaviour ◽  
Economic Modelling ◽  
Macroeconomic Dynamics ◽  
Agent Based ◽  
Economic Agents ◽  
Agent Based Modelling ◽  
Russian Economy ◽  
Modelling Techniques ◽  
Modelling Approach

Agent-based economic modelling techniques are increasingly being used to complement standard economic simulations. This paper re-models a standard equation-based simulation model of the Russian macroeconomy in an agent-based setup, and uses it to investigate the effect that antimonopoly legislation can be expected to have upon long-term dynamic behaviour. The results reveal various potential outcomes which would have not been visible using traditional equation-based modelling techniques. While the number of economic agents has been kept deliberately small in the work presented here, the modelling approach is scalable to systems incorporating many millions of agents.

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