RysPicz Posted September 16, 2021 Share Posted September 16, 2021 On 9/15/2021 at 4:04 AM, FighterChamp said: You explained maths better than college professors This so much. I found it hard to believe that even an anti-maths person like myself understood everything you wrote. Props! FighterChamp 1 Link to comment
Atricos Posted September 16, 2021 Author Share Posted September 16, 2021 5 hours ago, RysPicz said: This so much. I found it hard to believe that even an anti-maths person like myself understood everything you wrote. Props! I didn't expect many people would understand it, so thank you! Link to comment
TohnR Posted September 18, 2021 Share Posted September 18, 2021 On 9/11/2021 at 11:01 PM, Kiralexis said: If they're not actually serving a purpose, why have they been here since Generation 1? Did the formulas change over the years, or is it a PokeMMO thing? Because devs probably threw random percentage values in there and didn't bothered to see if they were even worth using to begin with I assume. Very nice paper, are you by any chance a Uni math teacher or a thesis student ? Your paper looks very much like what we get handed for classes in here tbh Link to comment
Minks Posted September 18, 2021 Share Posted September 18, 2021 On 9/11/2021 at 11:29 PM, Paul said: dn? deez nuts haha gottem TheBloo 1 Link to comment
Greymore Posted October 7, 2021 Share Posted October 7, 2021 (edited) Hello ! I just read your paper and, forgive me if I'm wrong, but I think there is a slight flaw in the logic with respect to its title. The paper aims at providing the "optimal Safari Zone strategy" but what it actually does is providing the catching probability of a single Pokémon encoutered in the Safari Zone depending on the action of the player (ball, bait or rock), which is a different thing in my opinion. In my understanding, an "optimal Safari Zone strategy" should focus on optimizing the player actions to catch as many of the Pokémon you're looking for in a single Safari Zone run. For example, let's say I want to catch a rare Safari Zone Pokémon (e.g. Tauros). I may run around for like 5 minutes and waste like 200 steps to finally get one to appear. When it does appear, your paper is probably right that my best strategy to catch this particular one Pokémon is just to throw balls at it. However, it fails to account for the cost of failure. If the Pokémon does flee, then I'm down for 5 more minutes of running around and wasting 200 more steps. I am most well served by first throwing a bait then throw balls while the Pokémon is eating (and repeat when it stops eating) because that reduces the flee rate and having the pokémon flee in this scenario is costly in terms of time and money. The opposite example is let's say I want to catch a very common Safari Zone Pokémon (e.g. Magikarp). In this case the limiting factor of my run is the number of Safari Balls because I don't really care if the Magikarp flees as I can just fish up a new one directly. That means I am most well served by throwing a rock at it first because that means I will have to throw less Safari Balls overall, which means more Magikarps caught on a single run, thus being a more optimal run. Because of the above, I think the flee rate should be weighted in some way by the encounter rate (e) to truly be an optimal strategy. I expect you would end up with a formula with c, f, and e rather than "only throw balls". To decide which is the optimal Safari Zone strategy to farm for a given Pokémon, you'd then need to enter its values for c, f and e in the formula and, depending on the result, I expect either "bait then balls" (for low encounter rates and high flee rates) or "rock then balls" (for high encounter rates and low flee rates) to be the optimal strategy. What do you think ? To be honest, I'm too lazy (and less capable than you) to actually do the actual maths for those. Edited October 7, 2021 by Greymore ScizoMonkey 1 Link to comment
ActualBlueBlu Posted July 7, 2022 Share Posted July 7, 2022 this is like that one time a master of math made a entire pdf to find out if Dream cheated or not in his speedrun of minecraft i love this , great work on this research Link to comment
ronarid Posted July 13, 2022 Share Posted July 13, 2022 (edited) if i understood right, if you have few balls yet and many steps, you can catch more pokemon by throwing them a rock before a ball, avoiding running out of balls; meanwhile i would confirm the uselessness of the baits (but this would totally change if a pokemon never flees after throwing a bait, witch it never happened to me as far as i remember) Edited July 13, 2022 by ronarid Link to comment
Jgaw Posted July 13, 2022 Share Posted July 13, 2022 Start: Do you know How to catch a pokemon?? By throwing a pokeball Now you know. End. Link to comment
ScizoMonkey Posted July 14, 2022 Share Posted July 14, 2022 On 10/7/2021 at 4:45 AM, Greymore said: Hello ! I just read your paper and, forgive me if I'm wrong, but I think there is a slight flaw in the logic with respect to its title. The paper aims at providing the "optimal Safari Zone strategy" but what it actually does is providing the catching probability of a single Pokémon encoutered in the Safari Zone depending on the action of the player (ball, bait or rock), which is a different thing in my opinion. In my understanding, an "optimal Safari Zone strategy" should focus on optimizing the player actions to catch as many of the Pokémon you're looking for in a single Safari Zone run. For example, let's say I want to catch a rare Safari Zone Pokémon (e.g. Tauros). I may run around for like 5 minutes and waste like 200 steps to finally get one to appear. When it does appear, your paper is probably right that my best strategy to catch this particular one Pokémon is just to throw balls at it. However, it fails to account for the cost of failure. If the Pokémon does flee, then I'm down for 5 more minutes of running around and wasting 200 more steps. I am most well served by first throwing a bait then throw balls while the Pokémon is eating (and repeat when it stops eating) because that reduces the flee rate and having the pokémon flee in this scenario is costly in terms of time and money. The opposite example is let's say I want to catch a very common Safari Zone Pokémon (e.g. Magikarp). In this case the limiting factor of my run is the number of Safari Balls because I don't really care if the Magikarp flees as I can just fish up a new one directly. That means I am most well served by throwing a rock at it first because that means I will have to throw less Safari Balls overall, which means more Magikarps caught on a single run, thus being a more optimal run. Because of the above, I think the flee rate should be weighted in some way by the encounter rate (e) to truly be an optimal strategy. I expect you would end up with a formula with c, f, and e rather than "only throw balls". To decide which is the optimal Safari Zone strategy to farm for a given Pokémon, you'd then need to enter its values for c, f and e in the formula and, depending on the result, I expect either "bait then balls" (for low encounter rates and high flee rates) or "rock then balls" (for high encounter rates and low flee rates) to be the optimal strategy. What do you think ? To be honest, I'm too lazy (and less capable than you) to actually do the actual maths for those. I agree with you about the rocks on common Pokemons. It is the best way to not waste balls. However for rare Pokemons I really think the ball only is way better. Because the flee rate of pokemon like Chansey, Kangaskan, Cyndaquill or Totodile is horribly high. So you just loose one turn and you usually only have one or two turns to catch them Link to comment
crov Posted August 22, 2022 Share Posted August 22, 2022 if you have a link to the pdf or the latex source text that would be awesome! Link to comment
TohnR Posted August 22, 2022 Share Posted August 22, 2022 On 10/7/2021 at 11:45 AM, Greymore said: The paper aims at providing the "optimal Safari Zone strategy" but what it actually does is providing the catching probability of a single Pokémon encoutered in the Safari Zone depending on the action of the player (ball, bait or rock), which is a different thing in my opinion. In my understanding, an "optimal Safari Zone strategy" should focus on optimizing the player actions to catch as many of the Pokémon you're looking for in a single Safari Zone run. Yea no actually nobody really care about that aspect in reality. What people want to know is the best method to catch rare pokemon / shinies in safari. Considering Safari costs are neglectable in game. But your reasoning is fair Link to comment
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