Agentbased Model and Net Logo Agentbased model An
Agent-based Model and Net. Logo 成功大學數學系 陳旻宏
Agent-based model An agent-based model (ABM) is a class of computational models for simulating the actions and interactions of autonomous agents. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. http: //en. wikipedia. org/wiki/Agent-based_model
From the lower (micro) level of systems to a higher (macro) level: The models simulate the simultaneous operations and interactions of multiple agents, in an attempt to re-create and predict the appearance of complex phenomena. Simple behavioral rules generate complex behavior. This principle, known as K. I. S. S. ("Keep it simple, stupid") is extensively adopted in the modeling community. Bounded rational: Individual agents are typically presumed to be acting in what they perceive as their own interests, such as reproduction, economic benefit, or social status using heuristics or simple decision-making rules. ABM agents may experience "learning", adaptation, and reproduction.
Net. Logo is an agent-based programming language and integrated modeling environment. Net. Logo was designed, in the spirit of the Logo programming language, to be "low threshold and no ceiling". It teaches programming concepts using agents in the form of turtles, patches, and the observer. http: //en. wikipedia. org/wiki/Net. Logo
Net. Logo Examples Fireflies (Biology): Synchronization of the flashing of fireflies. Wolf-sheep predation (Biology): predator-prey ecosystems. Segregation (Social Science): PD Basic Evolutionary (Social Science/Prisoner's Dilemma) Virus on a Network (Network): the spread of a virus through a network. http: //ccl. northwestern. edu/netlogo/models/
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