<p>Hybrid simulation model by combining agent-based simulation and system dynamic modeling.</p
We are interested in the multi-modeling and simulation of complex systems, that is representing a co...
The benefits of Hybrid Simulation (HS) are well recorded in academic literature. It offers deeper in...
Decisions about Modeling and Simulation (M&S) of Complex Systems (CS) need to be evaluated prior to ...
Hybrid modeling enables us to use strengths of various simulation approaches. System dynamics is a c...
System dynamics (SD), discrete event simulation (DES) and agent-based model (ABM) are three differen...
The availability of large data and immense improvements in technology have extended the modeling cap...
Hybrid Simulation in the Operational Research (OR) domain can be defined as the combination of two o...
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynam...
This paper explores how hybrid modeling may be combined with the system dynamics methodology in orde...
In times of increasing power and capacity in computer, simulation mathematical models are getting mo...
Agent-based (AB) and system dynamics (SD) modeling and simulation techniques have been studied and u...
Hybrid system models — those devised from two or more disparate sub-system models — provide a number...
The growing complexity of systems and problems that stakeholders from the private and public sectors...
This report describes the architecture and implementation of a simulator environment for models of p...
Hybrid agent-landscape models are used as an environment in which to study humans, the environment, ...
We are interested in the multi-modeling and simulation of complex systems, that is representing a co...
The benefits of Hybrid Simulation (HS) are well recorded in academic literature. It offers deeper in...
Decisions about Modeling and Simulation (M&S) of Complex Systems (CS) need to be evaluated prior to ...
Hybrid modeling enables us to use strengths of various simulation approaches. System dynamics is a c...
System dynamics (SD), discrete event simulation (DES) and agent-based model (ABM) are three differen...
The availability of large data and immense improvements in technology have extended the modeling cap...
Hybrid Simulation in the Operational Research (OR) domain can be defined as the combination of two o...
Agent-based modelling approaches are usually based on logical languages, whereas in many areas dynam...
This paper explores how hybrid modeling may be combined with the system dynamics methodology in orde...
In times of increasing power and capacity in computer, simulation mathematical models are getting mo...
Agent-based (AB) and system dynamics (SD) modeling and simulation techniques have been studied and u...
Hybrid system models — those devised from two or more disparate sub-system models — provide a number...
The growing complexity of systems and problems that stakeholders from the private and public sectors...
This report describes the architecture and implementation of a simulator environment for models of p...
Hybrid agent-landscape models are used as an environment in which to study humans, the environment, ...
We are interested in the multi-modeling and simulation of complex systems, that is representing a co...
The benefits of Hybrid Simulation (HS) are well recorded in academic literature. It offers deeper in...
Decisions about Modeling and Simulation (M&S) of Complex Systems (CS) need to be evaluated prior to ...
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