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            "249": {
                "pageid": 249,
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                "title": "Regeneration",
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                        "*": "{{Note|Original article at [http://www.staredit.net/wiki/index.php/Regeneration Staredit Network Wiki]}}\nIn StarCraft, regeneration is the slow increase of a unit's health, shields, or energy.\n\n===How It Works===\nTo understand regeneration, you have to understand that Starcraft hides data from you.  Health and Shields each are stored in memory in 4 bytes, however Starcraft only tells you the last 3 bytes.  The first byte is actually a hidden value which acts as a timer for regeneration.  1 byte = 8 bits, or 2<sup>8</sup> = 256.\n\nEach frame, a certain regeneration amount is added (or subtracted) to the first byte, according to values in the mpqs:\n\n*Protoss Shields: 7\n*Zerg Health: 4\n*Energy: 8\n*Shield Battery: 1280\n*Recharge Shields: -640 (-632 net)\n*Burning Terran Building: -20\n*Medic: 200\n*Personnel Cloaking(Ghost): -18 (-10 net)\n*Cloaking Field(Wraith): -21 (-13 net)\n*Heal: -100 (-92 net)\n\nSCVs repair units and buildings in a similar way, based on build time and total HP. Multiple SCVs increase the repair rate by adding them together.<br />\nR = roundup(.9 * H/B)<br />\nwhere R = repair rate in 1/256 of hp per frame, H = HP, B = build rate in SCMDraft.<br />\nOne important note is that R is a 2 byte value, which means that when R > 65535, it loops back over to 0. Here is an example:<br />\nA Terran Barracks with a build time of 1, HP of 9999.<br />\nR = roundup(.9 * 256*9999/1) = 2303770. R>65535, so it rolls over in multiples of 65535.<br />\nR = 2303770- k65535, R = 10010. Note that this is still fairly large, and means that each SCV will repair approximately 39 HP every frame.<br />\nA slightly more realistic value is that of the default battlecruiser with 500 HP, 2000 Build time:<br />\nR= roundup(.9 * 500*256/2000) = 58.<br />\n\nBuilding units follows the same formula, and this explains why some buildings/units come out injured, except they start out with 10% of the base HP, plus 1 frame of \"repairing\", plus the time it takes to build. In the case of the terran barracks, it will build in 1 frame and come out with .1 * 9999 + 10010/256 + 10010/256 = 1078.1 HP.\n\n===Healing Rates===\nSince Starcraft is normally played on fastest, or 24 fps, we can calculate the approximate rates of healing:\n*Protoss shields use 7, so 256/7/24=~1.5 seconds per shield point.\n*Zerg Health use 4, so 256/4/24=~2.67 seconds per health point.\n*Medics' Healing uses 200, so 256/200/24=0.053 seconds per health point or 18.75 health per second.\n*Shield batteries use 1280, so 256/1280/24=0.0083 seconds per shield point or 120 shields per second."
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            "198": {
                "pageid": 198,
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                "title": "SCAIL",
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                        "*": "{{Infobox bot\n|id=SCAIL\n|author=Jay Young\n|affiliation=University of Birmingham\n|country=England\n|country2=\n|race=P\n|elo=\n|ladderID=\n|version=3.7.4\n|type=DLL\n|internalDownload=Media:SCAIL.7z\n|externalDownload=\n|language=C++\n|sourceCode=https://dl.dropboxusercontent.com/u/23817376/AIIDE2012/bots/SCAIL.zip\n|github=\n|bitbucket=\n|googleCode=\n|site=\n|tlstream=\n|twitch=\n|own3d=\n|stream=\n|youtube=\n|twitter=\n|facebook=\n|gplus=\n|tlprofile=\n|reddit=\n|iccup=\n|fanclub=\n|achievements=\n}}\n\n==Publications==\n* Jay Young and Nick Hawes. Learning Micro-Management Skills in RTS Games by Imitating Experts. In In Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. [http://www.cs.bham.ac.uk/~jxy734/papers/aiide-2014.pdf PDF]\n* Jay Young and Nick Hawes. Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. In Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-12). [http://www.cs.bham.ac.uk/~jxy734/papers/aiide2012.pdf PDF]\n* Jay Young, Fran Smith, Christopher Atkinson, Ken Poyner and Tom Chothia. SCAIL: An integrated Starcraft AI System. In Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games (CIG-12). [http://www.cs.bham.ac.uk/~jxy734/papers/cig2012.pdf PDF]"
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