Overture for the Stochastic Theory of Communication with matplotlib widgets and matplotlib animations


Description:

State of a cell is represented as RGB. Number of possible states (state space size) for each cell is limited to alphabet_size^number_of_parameters = 3^3 = 27.

alphabet_size = 3 ({0, 1, 2})
number_of_parameters = 3 (R, G, B)

Base rule (connection): 1. none of two cells in the neighborhood can have same state. 2. if no possible states remain, cell keeps its state.

#entropy #communication #synergy #selforganization #multiagent

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Overture for the Stochastic Theory of Communication with matplotlib widgets and matplotlib animations


Description:

State of a cell is represented as RGB. Number of possible states (state space size) for each cell is limited to alphabet_size^number_of_parameters = 3^3 = 27.

alphabet_size = 3 ({0, 1, 2})
number_of_parameters = 3 (R, G, B)

Base rule (connection): 1. none of two cells in the neighborhood can have same state. 2. if no possible states remain, cell keeps its state.

#entropy #communication #synergy #selforganization #multiagent

hottg.com/complexsystemssimulations/10

1.41K viewsedited  Feb 23 at 17:14