314PK-1.10 version of Gouzi's super large balance MOD, imitating the historical process

Dog-headed things are good.

Nonsense: I have been having a game shortage recently, so I came back to play 314PK and even updated the original version. My brain was kicked by a donkey. Gouzi has a problem with playing games. He likes to change them to suit his own psychological needs, otherwise he won't be able to play anymore.

The current test version file is 1.12 (because I have been debugging the best data while playing)

This modified balance MOD corresponds to the timeline. There will not be a few powerful ones appearing quickly. It will take at least 10 years of fighting and 7 forces will be formed. 5 in 20 years and 4 in 30 years. Anyway, the bigger it is, the harder it is. Attacking is difficult, defending is easy, and the number of troops depends entirely on money.

And the surrender was cancelled…

Regional modification income:

AI money: Each city is basically maintained at 20,000 to 40,000.

AI military ration: Each city is basically maintained at 120,000 to 190,000.

AI troops: after 2 years of game time, each city will maintain around 10,000; after 4 years of game time, each city will maintain around 20,000; after 6 years of game time, each city will maintain around 30,000; and so on.

PS: Basically, Boss Cao had 8 years, and basically had about 180,000 troops. If from 195 to 200, there would be a situation like the Battle of Guandu. Boss Cao would directly overthrow Yuan Shao, and his troops would be about 200,000. Basically, I played several levels. By 203, it was basically a battle between large armies. Players use money more wildly than AI. When I use money myself, I basically can't sustain much in the early stage. I rely on selling food to survive. Basically, if you want to attack the city with 10,000 to 20,000 troops in the early stage, you must have reasonable tactics, various companies and generals, and multiple troops to set off...

Terrain modification:

Modified ideas: The road to Bashu is difficult, so take more of the right path and less of the trails. Crossing the mountain requires various facilities to help, such as arrays and military bands to ensure that morale does not drop to red in the middle.

Army speed: streets > flat land (mountain roads) > sand > wetlands > shoals > deep forests > low mountains > dense forests > middle mountains > poisonous swamps > high mountains

Explanation: According to the original settings, the amount of AI pathfinding data calculation is judged based on numerical points. The path with the minimum number of points will be calculated, causing the AI ​​to cross mountains and rivers to cause trouble. The current values ​​are to ensure that the AI ​​takes the high road, more of the right path, and less of the side path. Perfectly realize that AI will not boast about mountains or jump into seas.

Brief test: Crossing rivers, it takes 6 to 8 days to move one square, crossing mountains and ridges takes 2 to 3 days to move one square, and morale is not maintained enough. It takes 1 to 2 days to walk through a deep forest. If you fall into a poisonous swamp, your troops will basically be at a loss. The speed of a poisonous swamp is at the same level as climbing over mountains and ridges. When walking on flat ground and roads, you can walk 2 to 3 squares in one day. Maybe you don’t have a sense of how many squares to walk. Let’s put it this way, if you take the big roads and flat ground in one round, you can directly cross regions. Take Hebei as an example. When Yuan Shao attacks Gongsun, the soldiers in Yecheng can reach Peking in one month (3 rounds) by taking the main road. If a mobile formation is used, they can reach Peking in 2 rounds, provided that the AI ​​does not block the road. Under my modification, the AI ​​thieves like to use stone walls, earth walls, formations, and arrow towers to block the main road.

Formation modifications:

Modify your thinking: Every formation is not innocent, it is useful.

Before modification After modification Focus on modified content.

Fish Scal …