- #71
Mark Harder
- 246
- 60
Binary, definitely. Aesthetic and subjective notions aside, binary is an irreducible system in the sense that it is the smallest algebraic field, which contains only positive integers (notations for floating point numbers exist, too). The 1 and 0 system represents decisions, the states of switches, anything digital, the information content of a signal or of anything else, I think (As in the game of '20 Questions', where you discover the identity of a secret object by asking enough yes/no questions.) As long as I can use computers, I don't care how long a binary number is, as long as it's not infinite, in which case every number representation is impossible to contain in a computer's finite memory.
Barely relevant: I'm binge watching House, MD on Netflix and in one episode House and team were trying to determine which medication out of a handful they were giving to a patient was damaging him in a specific way that could be observed. They decided to remove the drugs from the patient one at a time until the patient's negative symptoms went away. Subtract one med, wait for specific negative symptom to vanish, repeat if there's no change. Given that the problem drug would kill the patient in time (for the episode to end), and barring critical medical reasons for keeping more than one med in the patient at a time, wouldn't a better algorithm be to remove a randomly chosen half of the drugs from the regimen, wait and watch, keep giving the patient the half-batch on which he thrived and throw out the other half? There'd be a 50% chance that the first trial would improve the patient's health; endgame. Otherwise, remove a random half of the remainder of the regimen and repeat. Randomly removing one out of N drugs at a time, and that's only a 1/N probability. You got to go with binary, sez me.
Barely relevant: I'm binge watching House, MD on Netflix and in one episode House and team were trying to determine which medication out of a handful they were giving to a patient was damaging him in a specific way that could be observed. They decided to remove the drugs from the patient one at a time until the patient's negative symptoms went away. Subtract one med, wait for specific negative symptom to vanish, repeat if there's no change. Given that the problem drug would kill the patient in time (for the episode to end), and barring critical medical reasons for keeping more than one med in the patient at a time, wouldn't a better algorithm be to remove a randomly chosen half of the drugs from the regimen, wait and watch, keep giving the patient the half-batch on which he thrived and throw out the other half? There'd be a 50% chance that the first trial would improve the patient's health; endgame. Otherwise, remove a random half of the remainder of the regimen and repeat. Randomly removing one out of N drugs at a time, and that's only a 1/N probability. You got to go with binary, sez me.
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