wk 10 Cellular Automata

Question 1

Game of life

Answer 1

0-1 dies
2-survive
3-myltiply
4-die

Question 2

Glider

Answer 2

Persistent emergent phenomena that appears, survives indefinitely.

Unexpected complicated behaviour.

Question 3

embracing emergence

Answer 3

start with a system of locally interacting elements according to simple rules that spontaneously give rise to emergent propertie

Question 4

Weak ALife (ARITIFICIAL LIFE PHYLOSOPHY)

Answer 4

– computer simulations are just that, simulations and
investigations of life

Question 5

Strong ALife (ARITIFICIAL LIFE PHYLOSOPHY)

Answer 5

life is not just restricted to a carbon-based chemical
process. Life can be ‘created’ in silico

Question 6

State Transition Rules

Answer 6

The states of an automaton change over time in discrete timesteps

The state of each cell is modified in parallel at each timestep according to the state transition rules (STR)

These determine the new states of each of the cells in the next timestep from the states of that cells neighbours

Question 7

Important properties of a CA:

Answer 7

‒ Localism
o States are updated based on the properties of the neighbourhood
‒ Parallelism
o The state of every cell is updated in parallel
‒ Homogeneity
o The same set of rules is applied across the automaton

Question 8

Cellular Automata Models for Enzyme Kinetics

Answer 8

Enzyme reactions are dynamic, and even with frequent experiments, the dynamic process cannot fully be seen