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In contrast, Professor Westerhoff and colleagues have used agent models to build realistic markets on which they impose taxes of various kinds to see what happens.
MADCABS combines agent models with traditional differential equations models.
Standish states that reflection is essential for agent models.
Agent models of different market players are established according to their behavior.
Miyashita [81] investigated different GP-based agent models and showed interesting preliminary results.
It defines agent models and proposes a high-level methodology for agent-oriented analysis and design.
Similar(32)
It is currently difficult for environmental modellers with limited software engineering background to construct such field-agent models, as modelling frameworks mostly do not support the integration of fields and agents.
7): Moderate-agent models: In "moderate-complexity-agent", or "moderate-agent" models, agents incorporate abstractions of cognitive processes at a level of complexity intermediate between that of simple-agent and complex-agent models.
Like simple-agent models, moderate-agent models abstract from the complexities of human behavior in order to gain insight about patterns in populations.
Unlike complex-agent models, moderate-agent models are not intended to capture behavior in a way that might one day approach the sophistication of real humans.
Agent-based models are typically "simple-agent" models, in which agents behave according to simple rules, or "complex-agent" models which incorporate complex models of cognitive processes.
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