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agent simulation
Studies are made of the organization and results of multi-agent simulation modeling of a local competitive market of electric energy and power-generating coal.
      
The paper uses a two-stage, multi-agent simulation model to examine the conditions under which technological successions can occur in the presence of network externalities.
      
Using multi-agent simulation to understand trading dynamics of a derivatives market
      
This paper shows that multi-agent simulation (MAS) is a promising approach to better understand the complexity of water uses and water users within sub-basins.
      
Multi-agent simulation of alternative scenarios of collaborative forest management
      
Several scenarios have been developed using multi-agent simulation to examine social and biophysical issues.
      
Modeling dynamic environments in multi-agent simulation
      
We advocate that, for multi-agent simulation, this dynamism must be modeled explicitly as part of the simulated environment, preferably using concepts and constructs that relate to the real world.
      
We apply the formal framework to model a dynamic RoboCup Soccer environment and elaborate on how the framework poses new challenges for exploring the modeling of environments in multi-agent simulation.
      
Multi-agent simulation is applied to explore how different types of task variety cause workgroups to change their task allocation accordingly.
      
In this paper, we create a multi-agent simulation on the base of this concept and provide the interested reader with a software package to apply genetic action trees in a multi-agent simulation to simulate complex social behaviour.
      
Results from the multi-agent simulation suggested that in-group favoritism among collocators caused them to ignore some important resource exchange opportunities with remote individuals.
      
They also demonstrate the value of coupling lab experiments with multi-agent simulation.
      
With artificial life simulation based on multi-agent simulation system we are preparing a simulation that could at least partially substitute the real experiments with real cells.
      
Besides many other advantages, activity-based demand generation also fits well into the paradigm of multi-agent simulation, where each traveler is kept as an individual throughout the whole modeling process.
      
Agent a may or may not be an element of Na, but this depends on the use of the neighborhood in the agent simulation.
      
Agent-directed simulation is very promising and consists of agent simulation, agent-based simulation, and agent-supported simulation.
      
Agent simulation allows simulation of natural or engineered entities with cognitive abilities.
      
A multi-agent simulation program is being developed to study how such micro-level processes affect macro-level outcomes.
      
Cellular automata and multi agent simulation for dynamic land use planning.
      
 

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