Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Business Dynamics
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Agent Based and System Dynamics Modeling: A Call for Cross Study and Joint Research
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
System dynamics and agent-based simulations for workforce climate
Proceedings of the 38th conference on Winter simulation
Simple Models of Influenza Progression Within a Heterogeneous Population
Operations Research
Contrasting a system dynamics model and an agent-based model of food web evolution
MABS'06 Proceedings of the 2006 international conference on Multi-agent-based simulation VII
Agent-based modeling and simulation
Winter Simulation Conference
Accounting for individual behaviors in a pandemic disease spread model
Winter Simulation Conference
Systems dynamics or agent-based modelling for immune simulation?
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Proceedings of the 2011 Summer Computer Simulation Conference
A beginner's guide to systems simulation in immunology
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Modeling the spread of community-associated MRSA
Proceedings of the Winter Simulation Conference
Agent-based conceptual model representation using BPMN
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
An agent-based approach to modeling online social influence
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Agent-based simulation (ABS) is a recent modeling technique that is being widely used in modeling complex social systems. Forrester's System Dynamics (SD) is another longstanding technique for modeling social systems. Several classical models of systems, such as the Kermack-McKendrick model of epidemiology, the Lotka-Volterra equations for modeling predator-prey relationships, and the Bass model for innovation diffusion are formulated as systems of differential equations and have corresponding System Dynamics representations as difference equations. The ABS and SD modeling approaches take fundamentally different perspectives when modeling a system, which can be characterized as bottom-up (ABS) versus top-down (SD). Yet many systems can be equivalently modeled by either approach. In this paper, we present a formal specification for SD and ABS models, use the specification to derive equivalent ABS representations, and present an example of an SIR epidemic model having SD and ABS counterparts.