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artificial_life_simulation

This repository contains code example of Agent based modeling / Game theory. This codes are written in Matlab R2017a. Game theoy - mathematical framework for strategic interactions of individuals.

Properties of Agent:

  1. Agents are autonomous.
  2. Agents are interdependent.
  3. Agents follow simple rules.
  4. Agents are adaptive and backward-looking.

Agent-based simulations:

  1. The models simulate the simultaneous operations of multiple agents, in an attempt to re-create and predict the actions of complex phenomena.
  2. Agents can be pedestrians, animals, customers, internet users, etc...

Programming an agent-based simulator often goes in five steps:

  1. Initialization - initial state, parameters; environment.
  2. Time loop - processing each time steps.
  3. Agents loop - processing each agents.
  4. Update - Upadating agent i at time t.
  5. Save data - For further analysis.

Reference:

  1. 851-0585-04L -Modeling and simulating Social systems with Matlab by Karsten Donnay and Stefano Balietti.

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