Agent-based Model: Multi-agent system, Computational sociology, Computational model, Robert Axelrod, Evolutionary programming, Monte Carlo method, Backronym - Tapa blanda

Sinopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. An agent-based model is a class of computational models for simulating the actions and interactions of autonomous agents with a view to assessing their effects on the system as a whole. 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. The models simulate the simultaneous operations and interactions of multiple agents, in an attempt to re-create and predict the appearance of complex phenomena. The process is one of emergence from the lower level of systems to a higher level. As such, a key notion is that simple behavioral rules generate complex behavior.

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