Support: [ Ссылка ] KKnD2: Krossfire is the sequel to KKnD in the KKnD series, released in 1998 for Microsoft Windows. It was released on PlayStation in Europe in late 1998 to early 1999 as KKnD: Krossfire. It is set in the year 2179, 100 years after the Nuclear World War. After spending another four decades underground, hiding from the first loss against the Evolved, the Survivors rose up to a new enemy: the Series 9. The Series 9 robots are machines that have advanced from their farming origins (having the original programming damaged by the nuclear radiation) and taken up arms against the humans, Evolved and Survivor, who destroyed their precious crops, their one and only reason for functioning.

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Gameplay takes place after a worldwide nuclear war, on three map-types over land and water: a barren desert terrain, forest areas, or urban jungles. All three areas provide artifacts from the nuclear war, namely decrepit buildings and polluted water. Like other real-time strategy games such as the Command and Conquer or Starcraft franchises, the primary objective of the game is to eradicate all other factions on a particular playing map. This is done usually through resource management—oil reserves acting as a power source—and maintaining a base of operations while trying to destroy everything else. Fortifications and turrets can be used to protect a base, as well as making use of natural features such as cliffs or buildings. Unlike in KKnD, now each faction has buildings that can provide little more resource units at a constant rate, helping to gather resources, should there be a shortage of oil or if all oil runs out. There are two methods of gameplay: a campaign mode and a multiplayer mode. The campaign mode allows you to play one of three factions, fighting through a triangle-shaped map in order to eradicate all other enemies. Occasionally there can be multiple factions. Multiplayer mode allows for connection through LAN (IPX or TCP/IP), serial cable or modem, or a soloplay mode where one can choose between a variety of maps and settings to play a practice game against one or more AI opponents.

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