读《通过数据挖掘来更好地平衡游戏》

最近翻查游戏平衡方面的资料,在Gamasutra上看到这篇 Better Game Design through Data Mining ,觉得有些参考价值,它给出了数据挖掘(统计学)在游戏中的应用和能解决的问题,以及游戏设计中一些难题(主要是处理玩家抱怨和socail方面的问题),在游戏平衡方面也是很有参考价值的文章。感觉文章的内容跟WoW的设计很有关联,在WoW设计中一定也运用了相关理论。在Ghostcrawler的一篇nerf shaman的蓝帖里也可以察觉到这点。

以下是一些抄录和注解,供自己参考:

1. To balance the economy — 平衡物价等
2. To catch cheaters — 通过分析与平均水平相差甚远的数据来揪出作弊者
3. To cut production costs — 物品都倾注了资金、时间、人力来设计, 通过分析物品的被使用频率来确定物品设计的成功与否,然后通过将不成功的物品重新设计(patch)后再推出,以免浪费
4. To increase customer renewal — 找出表现较差的职业(low-performance class)进行调整以免玩家流失

Data mining takes numbers, processes them, and makes new numbers. These numbers cannot tell you how each player feels. The player may be misinformed or biased about the balance of the game, but she is always right about how she feels. Some players’ feelings may be immature, and some players may have contradictory responses. Yet the paradox is that they are all right. Every player’s emotional response is valid. The data also does a poor job of revealing how players feel about each game asset. It does not indicate which asset has beautiful modeling, expressive animation, or a compelling story.

数据不能告诉你玩家的感受。玩家可能是不理智、充满偏见的,但是他们说出了心里的感受。所有玩家的情绪反馈都是真实反映了玩家心中的感受。数据不能揭示出玩家对一个道具的感受,比如道具好看与否、帅不帅等。

传统的调查方法是问卷调查(survey),但是那是不客观的,不一定正确的。人们总会出于各种原因口是心非。每个人都说是不平衡的受害者,而真正的受害者却选择了沉默,然后静静地绝望地离开游戏。数据挖掘是客观的,能从各个角度分析游戏,为游戏设计人员提供了全局观。

Recycle old data into new design.
1. Live: Scoop up lots of raw data in the live service. — 关键:样本
2. Archive: From here, clean it up and store it for safe keeping in an archive.
3. Statistics: Sift through the data to create statistics, which are more informative than the raw data.
4. Analysis: Then apply the actual mining, which yields knowledge about player performance. –关键:图表、clusters
5. Hypothesis: Propose hypotheses about how to tune the game.
6. Test: Test each hypothesis and then introduce the new design into the live service. — 经常是失败的,或者没有预期理想,但是一点一点的进步总比什么都不做好。
然后回到第一步,形成一个循环

平衡的时候尽量保持修改的独立性,只影响到目标群体,不要牵涉其他群体,这样更容易修改(见Part3的图)。

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Author: SuperFatCow

I am a human-being.

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