9.11. Self Check¶
- Correct! When f=0.039 and k=0.065 the pattern that is produced looks like the patterns on animals. Though, this has not yet been proven.
- Incorrect, please refer back to section.
Q-1: There is a possibility for animal patterns to be based on diffusion reactions?
Q-2: Percolation models can be represented using cellular automatons. Below is an out of order representation of the processes of a 2-D CA that simulates percolation. Place them in the correct order.
- Percolation models can be represented using cellular automatons. Below is an out of order representation of the processes of a 2-D CA that simulates percolation. Place them in the correct order
- Each cell is either “porous” with probability q or “non-porous” with probability 1-q
- When the simulation begins, all cells are considered “dry” except the top row, which is “wet”
- During each time step, if a porous cell has at least one wet neighbor, it becomes wet. Non-porous cells stay dry
- The simulation runs until it reaches a “fixed point” where no more cells change state
- If there is a path of wet cells from the top to the bottom row, we say that the CA has a “percolating cluster”
- Critical phenomena
- Incorrect, critical phenomena are a common set of behaviors that a wide variety of systems display when they are at or near a critical point.
- Phase change
- Random walk
- Incorrect. Random walk is used to estimate the the critical value more precisely
- None of the above
- Incorrect. There is one right answer
Q-3: What is the the rapid change in behavior near the critical value called?
Q-4: Please put the test_perc function together so that it will run.def test_perc(perc): --- num_wet = perc.num_wet() --- while True: perc.step() --- if perc.bottom_row_wet(): return True --- new_num_wet = perc.num_wet() --- if new_num_wet == num_wet: return False --- num_wet = new_num_wet
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