scholarly journals Determination of Effective Policies for Ecological Agriculture Development with System Dynamics and Agent Based Models – Case Study in Slovenia

10.5772/17647 ◽  
2011 ◽  
Author(s):  
Crtomir Rozman ◽  
Andrej Skraba ◽  
Karmen Pazek ◽  
Miroljub Kljajic ◽  
Martina Bavec ◽  
...  
Keyword(s):  
System Dynamics ◽  
Agent Based Models ◽  
Ecological Agriculture ◽  
Agent Based ◽  
Agriculture Development

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

Improving the Efficiency of Large-Scale Agent-Based Models Using Compression Techniques

2012 ◽  
pp. 301-326
Author(s):  
Mitchell Welch ◽  
Paul Kwan ◽  
A.S.M. Sajeev ◽  
Graeme Garner
Keyword(s):  
Large Scale ◽  
Agent Based Models ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Livestock Disease ◽  
Interacting Agents ◽  
National Model ◽  
Complex Phenomena ◽  
Modelling System

Agent-based modelling is becoming a widely used approach for simulating complex phenomena. By making use of emergent behaviour, agent based models can simulate systems right down to the most minute interactions that affect a system’s behaviour. In order to capture the level of detail desired by users, many agent based models now contain hundreds of thousands and even millions of interacting agents. The scale of these models makes them computationally expensive to operate in terms of memory and CPU time, limiting their practicality and use. This chapter details the techniques for applying Dynamic Hierarchical Agent Compression to agent based modelling systems, with the aim of reducing the amount of memory and number of CPU cycles required to manage a set of agents within a model. The scheme outlined extracts the state data stored within a model’s agents and takes advantage of redundancy in this data to reduce the memory required to represent this information. The techniques show how a hierarchical data structure can be used to achieve compression of this data and the techniques for implementing this type of structure within an existing modelling system. The chapter includes a case study that outlines the practical considerations related to the application of this scheme to Australia’s National Model for Emerging Livestock Disease Threats that is currently being developed.

scholarly journals Agent-Based and System Dynamics Modeling of Water Field Services

Challenges ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 13
Author(s):  
Bernard Amadei
Keyword(s):  
System Dynamics ◽  
Computational Models ◽  
Software Modeling ◽  
Dynamics Modeling ◽  
Water Utility ◽  
Modeling Tools ◽  
Agent Based ◽  
Water Field ◽  
The Individual

This paper explores the applicability of the agent-based (AB) and system dynamics (SD) methods to model a case study of the management of water field services. Water borehole sites are distributed over an area and serve the water needs of a population. The equipment at all borehole sites is managed by a single water utility that has adopted specific repair, replacement, and maintenance rules and policies. The water utility employs several service crews initially stationed at a single central location. The crews respond to specific operation and maintenance requests. Two software modeling tools (AnyLogic and STELLA) are used to explore the benefits and limitations of the AB and SD methods to simulate the dynamic being considered. The strength of the AB method resides in its ability to capture in a disaggregated way the mobility of the individual service crews and the performance of the equipment (working, repaired, replaced, or maintained) at each borehole site. The SD method cannot capture the service crew dynamics explicitly and can only model the average state of the equipment at the borehole sites. Their differences aside, both methods offer policymakers the opportunity to make strategic, tactical, and logistical decisions supported by integrated computational models.

scholarly journals Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0118359 ◽  
Author(s):  
Grazziela P. Figueredo ◽  
Peer-Olaf Siebers ◽  
Uwe Aickelin ◽  
Amanda Whitbrook ◽  
Jonathan M. Garibaldi
Keyword(s):  
System Dynamics ◽  
Agent Based Simulation ◽  
Agent Based
Sign in / Sign up

Export Citation Format

Share Document