Embedded Files
Markov Model and the Game of Life
Markov Model and the Game of Life
Learning objectives
Learning objectives
Get familiar with the following basic concepts through an example of simple Markov Model
Schematic diagram of a model
State variables, parameters
Transition probabilities
Model assumptions
Initial conditions
Model formulation
Steady-state behaviour
Statistical equilibrium
Being conversant with the assumptions of Markov Convergence Theorem and its applications
The notion that complex behaviour/pattern can emerge from simple rules.
Resources
Resources
The video we played in the class.
Reading material (optional)
A few fascinating resources on cellular automata [Not required for Exams]
A few fascinating resources on cellular automata [Not required for Exams]
This video introduces the concepts and algorithms behind Cellular Automata.
A TED talk by Stephen Wolfram on 'Computing a theory of everything'.
A more longish talk by Stephen Wolfram titled "A New Kind of Science". Recommend listening between 25:40 - 30:12.
Page updated
Report abuse