Unreal Tournament 3 Mod: foxMod Splitscreen and AI Improvements

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Published by GameFront.com 7 years ago , last updated 1 year ago

Posted on December 17, 2012, CJ Miozzi Unreal Tournament 3 Mod: foxMod Splitscreen and AI Improvements

It’s great to see that the Unreal Tournament 3 community is still working away at mods. Here’s a Mutator and INI modification project for proper splitscreen support, improved gamepad support, Hor+ FOV scaling, and improved AI by modder foxBox. That’s right — splitscreen, four-player support on a PC. Download it here.

Splitscreen support features:

  • Allows local players to drop-in and drop-out mid-game via “Splitscreen Players” slider option (dynamically select number of splitscreen players from 0 to 3)
  • Local profile system for splitscreen players to automatically save their settings
  • Shared settings such as A/V and Network settings can only be set by first player
  • Per-player FOV setting
  • When voting, splitscreen players will automatically mirror the first player’s votes
  • Automatic XBL guest-style player renaming (“fox”, “fox(2)”, “fox(3)” instead of “Player258″)
  • Automatic adjustment of audio when splitscreen is active (see known bugs – previously, each viewport played volume at 100%, becoming astronomically loud when 4 players were active)

AI Improvements:

  • Anti-stuck measures for AI, fixing issues such as bots getting stuck in DM-Turbine
  • Bots use tow cables more often
  • Better follow behavior – bots utilize Link Gun properly when following and break off for combat when appropriate (within range and LOS to leader)
  • Initial orders for bots are now randomly assigned; influenced by other bots’ orders
  • Bots now allowed to use hunting and “devious” behavior in team games and when large numbers of bots are present (more CPU intensive, but shouldn’t be a problem)
  • Bots now use larger squads for better coordination
  • Bots now use any vehicle of opportunity, not just squad vehicles
  • When near a flag carrier and in a fast vehicle (Scorpion, Manta, etc.), bots will position themselves to tow the flag carrier (basic behavior, but it helps)
  • Bots try harder to get a vehicle unstuck before simply abandoning it
  • Bots with no passengers in an air vehicle will attempt to fetch passengers when not in combat (optimal Cicada usage for starters)
  • Bots now attempt to get out and heal vehicles when not busy
  • Bots now prefer non-vehicle paths when on foot (helps them sneak around vehicles)

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