abstract-strategy

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Abstract Strategy Game Design

抽象策略游戏设计

Purpose

设计目标

Design abstract strategy games—games with perfect information, no randomness, and strategic depth. Provides frameworks for ideation, design, and evaluation.

设计抽象策略游戏——这类游戏具备完全信息、无随机性且富有策略深度。提供构思、设计与评估的框架。

Core Definition

核心定义

Abstract strategy games require:

Perfect Information: All game state visible to all players
No Randomness: Outcomes determined solely by player decisions
Minimal Theme: Mechanics over narrative
Player Agency: Success depends on strategic thinking

抽象策略游戏需满足：

完全信息：所有玩家均可查看全部游戏状态
无随机性：结果完全由玩家决策决定
极简主题：机制优先于叙事
玩家自主性：胜负取决于策略思考

Quick Reference: Game Types

快速参考：游戏类型

Type	Core Mechanic	Examples
Connection	Form paths/networks	Hex, TwixT
Territory	Control areas	Go, Othello
Capture	Eliminate pieces	Chess, Checkers
Pattern	Create arrangements	Gomoku, Pentago
Racing	Reach goal first	Chinese Checkers

类型	核心机制	示例
连接类	构建路径/网络	Hex、TwixT
领地类	控制区域	围棋（Go）、奥赛罗（Othello）
捕获类	消灭棋子	国际象棋（Chess）、跳棋（Checkers）
图案类	创造特定排列	五子棋（Gomoku）、Pentago
竞速类	率先抵达目标	中国跳棋（Chinese Checkers）

Design Principles

设计原则

The Holy Grail: Depth-to-Complexity Ratio

终极目标：深度-复杂度比

Maximum strategic depth with minimum rules complexity.

How to achieve:

Start with single strong core mechanism
Remove anything that doesn't support the core
Every rule should create multiple strategic implications
Prefer emergent complexity over explicit rules

以最低的规则复杂度实现最高的策略深度。

如何达成：

从单一强大的核心机制入手
移除所有不支持核心机制的内容
每条规则都应产生多种策略影响
优先选择涌现式复杂度而非显性规则

Meaningful Decision Architecture

有意义的决策架构

Four components of meaningful choice:

Awareness: Players understand options
Consequence: Immediate and long-term effects
Permanence: Decisions have lasting impact
Reminders: Game state reflects past choices

Ideal Parameters:

Branching factor: 20-40 moves/turn for human play
Horizon: 3-5 moves ahead with effort
Multiple paths: 3-4 viable strategies minimum

有意义选择的四个组成部分：

认知度：玩家清楚了解可选方案
关联性：具备即时与长期影响
持久性：决策具有持续影响
可见性：游戏状态能反映过往决策

理想参数：

分支因子：人类玩家每回合有20-40种可选走法
决策视野：稍加思考就能预判3-5步后的局面
多元路径：至少存在3-4种可行策略

Core Mechanisms Toolkit

核心机制工具包

Board Topology

棋盘拓扑

Grids: Square, hexagonal, triangular, irregular
Connectivity: How spaces relate
Edges: How boundaries affect strategy
Size: Larger = exponentially more complex

网格：方形、六边形、三角形、不规则形
连通性：棋盘格子间的关联方式
边界：边界对策略的影响
尺寸：尺寸越大，复杂度呈指数级增长

Piece Systems

棋子系统

Uniform: All pieces identical (Go)
Differentiated: Unique abilities (Chess)
Transforming: Change during play (Checkers kings)
Ownership: Fixed vs. capturable

统一型：所有棋子完全相同（如围棋）
差异化型：棋子具备独特能力（如国际象棋）
变形型：游戏过程中可改变形态（如跳棋王）
所有权：固定归属 vs 可被捕获

Movement & Placement

移动与放置

Placement only: Pieces don't move once placed (Go)
Movement only: Pieces start on board (Chess)
Hybrid: Both placement and movement (Hive)

仅放置：棋子一旦放置就无法移动（如围棋）
仅移动：棋子初始就在棋盘上（如国际象棋）
混合型：兼具放置与移动（如Hive）

Victory Conditions

胜利条件

Elimination, Position, Pattern, Territory, Points, Stalemate

消灭对手、占据特定位置、形成特定图案、控制领地、积分达标、和棋（Stalemate）

Balance Considerations

平衡性考量

First-Player Advantage Mitigation

先手优势缓解方案

Pie Rule: Second player can swap after first move
Komi: Point compensation for second player
Variable Setup: Randomized starting positions
Simultaneous: Both move at once

Pie规则：后手玩家可在先手第一步后交换双方位置
贴目（Komi）：为后手玩家提供分数补偿
可变开局：随机化初始布局
同步行动：双方同时走棋

Avoiding Degenerate Strategies

避免退化策略

No single dominant path
Counter-strategies exist for every strong position
Passive play punishable
Aggressive play doesn't guarantee victory

不存在单一主导路径
每个强势局面都有对应的反制策略
消极玩法会受到惩罚
激进玩法无法保证必胜

Design Process

设计流程

Three Starting Points

三种起始路径

1. Mechanism-First

Identify interesting core mechanic
Build minimal game around it
Add only what enhances core
Remove everything else

2. Experience-First

Define target player experience
Identify mechanisms that create it
Prototype and test rapidly
Iterate on feedback

3. Constraint-Based

Set specific limitations (components, time, space)
Find creative solutions within constraints
Often leads to elegant designs

1. 机制优先

确定有趣的核心机制
围绕该机制构建最简游戏框架
仅添加能强化核心机制的内容
移除所有无关内容

2. 体验优先

定义目标玩家体验
确定能实现该体验的机制
快速制作原型并测试
根据反馈迭代

3. 约束驱动

设置特定限制条件（组件、时间、空间）
在约束内寻找创意解决方案
往往能诞生简洁优雅的设计

When to Add/Remove Complexity

何时增减复杂度

Add when:

Core feels solved too quickly
Players master in <10 plays
Decisions feel obvious

Remove when:

Rules take >10 minutes
Players forget rules
Strategies feel arbitrary

Scrap when:

No tweaking fixes fundamentals
Core mechanism isn't interesting
Feels like inferior version of existing game

增加复杂度的场景：

核心机制被快速破解
玩家在不到10局内就能精通
决策显得过于明显

移除复杂度的场景：

规则讲解耗时超过10分钟
玩家容易遗忘规则
策略显得随意无逻辑

废弃项目的场景：

任何调整都无法修复核心问题
核心机制缺乏趣味性
感觉是现有游戏的劣质变体

Brainstorming Techniques

头脑风暴技巧

1. Mechanism Extraction from Non-Games

1. 从非游戏场景提取机制

Extract from physics, biology, economics, chemistry, social systems:

Pieces that "decay" unless refreshed (entropy)
Moves creating "waves" along patterns (physics)
Pieces forming "bonds" limiting movement (chemistry)
"Market" squares with fluctuating values (economics)

从物理、生物、经济、化学、社会系统中提取灵感：

棋子需“刷新”否则会“衰变”（熵原理）
走棋会沿特定图案产生“波动”（物理）
棋子形成“化学键”限制移动（化学）
“市场格”的价值会波动（经济）

2. Extreme Property Isolation

2. 极端属性孤立

Take one property to absolute extreme:

Game where pieces visible only when adjacent to your others
Every move must maintain rotational symmetry
Pieces exist only one turn unless refreshed
Board wraps in non-intuitive ways (Klein bottle)

将某一属性推向极致：

仅当棋子与己方其他棋子相邻时才可见
每一步走棋都必须保持旋转对称性
棋子仅存在一回合，除非被刷新
棋盘以非直观方式衔接（如克莱因瓶）

3. Impossible Constraint Challenges

3. 不可能约束挑战

Start with seemingly impossible constraints:

Game on a 1D line
Pieces in probability clouds until observed
Victory condition voted on by piece positions
Pieces leave "trails" becoming new pieces

从看似不可能的约束条件入手：

在一维直线上设计游戏
棋子处于概率云状态，被观察后才确定位置
胜利条件由棋子位置投票决定
棋子移动留下的“轨迹”会变成新棋子

4. Anti-Pattern Starting Points

4. 反模式起点

Design intentionally bad games, then invert:

Always-draw game → Add accumulating positional advantages
Pure calculation → Add pieces that change rules
Dominant strategy → Make it vulnerable to specific counters

先设计故意糟糕的游戏，再进行反转：

必和游戏 → 添加累积位置优势
纯计算游戏 → 添加可改变规则的棋子
存在主导策略的游戏 → 让该策略易被特定方法反制

5. Mathematical Structure Mining

5. 数学结构挖掘

Pieces move along Hamiltonian paths only
Positions valued by prime factorization
Fractal boards with repeating patterns
Moves must preserve mathematical invariants

棋子仅能沿哈密顿路径移动
位置价值由质因数分解决定
具有重复图案的分形棋盘
走棋必须保持数学不变量

Evaluation Framework

评估框架

Strategic Richness Indicators

策略丰富度指标

Depth:

Games last 20+ meaningful turns
Opening, midgame, endgame feel distinct
Multiple viable opening strategies
Comebacks possible but not trivial

Complexity:

New players grasp rules in <5 minutes
Experts keep discovering patterns
High-level play looks different from beginner

深度：

一局游戏包含20+个有意义的回合
开局、中局、残局体验截然不同
存在多种可行的开局策略
翻盘可行但并非易事

复杂度：

新玩家可在5分钟内掌握规则
资深玩家能持续发现新规律
高阶玩法与新手玩法差异明显

Common Failures

常见问题

Problem	Symptoms	Solution
Analysis Paralysis	Excessive turn time	Limit options, clearer objectives
Solved Game	Same outcome always	Increase branching, add variety
Kingmaker	Loser picks winner	Simultaneous resolution

问题	症状	解决方案
决策瘫痪	每回合耗时过长	限制可选方案，明确目标
已破解游戏	结果始终相同	增加分支因子，提升多样性
造王者问题	失败者能决定胜者	采用同步结算方式

Testing Protocol

测试流程

Phase 1: Proof of Concept

阶段1：概念验证

Test core mechanic in isolation
Verify basic fun factor
Identify broken strategies

单独测试核心机制
验证基础趣味性
识别有缺陷的策略

Phase 2: Mechanics

阶段2：机制测试

Test each subsystem
Look for unintended interactions
Measure game length

测试每个子系统
寻找意外的机制交互
测量游戏时长

Phase 3: Integration

阶段3：整合测试

Full game, all systems
Different skill levels
Quantitative data

完整游戏，启用所有系统
邀请不同水平的玩家参与
收集量化数据

Phase 4: Blind Testing

阶段4：盲测

Players learn from rulebook only
Identify ambiguities
Test learning curve

玩家仅通过规则手册学习游戏
识别规则中的歧义点
测试学习曲线

Testing Checklist

测试清单

Mechanical

机制层面

Balance

平衡层面

Experience

体验层面

Accessibility

易用性层面

Quick Evaluation Filters

快速评估筛选

30-Second Test: Can you explain core concept in 30 seconds?

Originality Test: Does it feel like variant of existing game?

Decision Test: Are there obviously interesting decisions?

Depth Test: Could this sustain interest for 50+ plays?

30秒测试：能否在30秒内解释核心概念？

原创性测试：是否感觉是现有游戏的变体？

决策测试：是否存在明显有趣的决策点？

深度测试：能否保持玩家50+局的兴趣？

Session Structure (2 Hours)

工作坊流程（2小时）

10 min: Pick 3-4 brainstorming techniques
60 min: Generate 15-20 ideas per technique
20 min: Expand 5-10 promising ideas
20 min: Combine and explore hybrids
10 min: Apply filters, select for prototyping

10分钟：选择3-4种头脑风暴技巧
60分钟：每种技巧生成15-20个想法
20分钟：拓展5-10个有潜力的想法
20分钟：组合并探索混合想法
10分钟：应用筛选标准，选出适合原型制作的想法

Anti-Patterns

反模式

1. Complexity as Depth

1. 将复杂度等同于深度

Pattern: Adding rules, exceptions, and special cases to make the game feel "deeper." Why it fails: Complexity and depth are different. Complex rules create burden; depth emerges from simple rules with rich interactions. Chess has simpler rules than many shallow games. Fix: Ruthlessly remove complexity that doesn't add strategic options. If a rule requires explanation but doesn't create interesting decisions, cut it.

模式：通过添加规则、例外情况和特殊案例让游戏看起来“更有深度”。 问题所在：复杂度与深度是不同的概念。复杂的规则会造成负担；深度源于简单规则的丰富交互。国际象棋的规则比许多浅度游戏更简单。 解决方案：无情地移除无法增加策略选择的复杂度。如果一条规则需要额外解释但无法创造有趣的决策，就删掉它。

2. Solved Game Blindness

2. 对“已破解游戏”视而不见

Pattern: Creating a game where optimal play always produces the same outcome—often draws or first-player wins. Why it fails: Once players discover the solution, the game becomes rote execution rather than strategic exploration. No amount of polish fixes a solved game. Fix: Test extensively with strong players. If games start converging on identical patterns, add asymmetry or increase branching factor. The pie rule helps but doesn't solve fundamental issues.

模式：设计出最优玩法总能产生相同结果的游戏——通常是和棋或先手必胜。 问题所在：一旦玩家发现破解方法，游戏就变成机械执行而非策略探索。再多的打磨也无法修复已破解的游戏。 解决方案：与高水平玩家进行大量测试。如果游戏开始出现相同的模式，添加不对称性或增加分支因子。Pie规则有帮助但无法解决根本问题。

3. Decision Paralysis

3. 决策瘫痪

Pattern: Every position has dozens of equally viable options with unclear consequences. Why it fails: Strategic games need meaningful comparison between choices. When all options seem equivalent, decisions become random rather than strategic. Fix: Reduce branching factor or create clearer evaluation heuristics. Players should be able to identify 3-5 promising moves without analyzing every possibility.

模式：每个局面都有数十种看似可行的选项，且后果不明确。 问题所在：策略游戏需要在选项间进行有意义的比较。当所有选项看起来都相当时，决策就会变得随机而非基于策略。 解决方案：降低分支因子或创建更清晰的评估启发式。玩家无需分析每一种可能性就能找出3-5个有潜力的走法。

4. Theme Creep

4. 主题蔓延

Pattern: Adding narrative or thematic elements that don't connect to mechanical decisions. Why it fails: Abstract strategy games work because mechanics are the content. Theme that doesn't inform decisions is decoration that slows play without adding depth. Fix: Either commit to a themed game (different framework) or keep theme purely cosmetic. Don't let theme suggest mechanics that don't serve strategy.

模式：添加与机制决策无关的叙事或主题元素。 问题所在：抽象策略游戏的核心是机制。无法为决策提供信息的主题只是装饰，会拖慢游戏节奏却无法增加深度。 解决方案：要么彻底转向主题游戏（使用不同框架），要么仅保留纯装饰性的主题。不要让主题引导出不利于策略的机制。

5. Perfect Information Violations

5. 违反完全信息原则

Pattern: Adding hidden information, simultaneous resolution, or dice "for variety." Why it fails: Abstract strategy games are defined by perfect information and determinism. Adding randomness or hidden elements creates a different game type with different design principles. Fix: If the game needs variety, add it through board setup, victory condition selection, or piece starting positions—not through mid-game randomness.

模式：为了“增加多样性”而添加隐藏信息、同步结算或骰子。 问题所在：抽象策略游戏的定义就是完全信息与确定性。添加随机性或隐藏元素会变成另一种类型的游戏，需要不同的设计原则。 解决方案：如果游戏需要多样性，可通过棋盘布局、胜利条件选择或棋子初始位置实现——而非游戏过程中的随机性。

Integration

技能整合

Inbound (feeds into this skill)

输入技能（为该技能提供支持）

Skill	What it provides
brainstorming	Ideation techniques for mechanism discovery
research	Historical game analysis and mathematical structure research

技能	提供内容
brainstorming	用于机制探索的构思技巧
research	历史游戏分析与数学结构研究

Outbound (this skill enables)

输出技能（该技能为其提供支持）

Skill	What this provides
(playtesting)	Designs ready for player validation
(rulebook writing)	Tested mechanics ready for documentation

技能	提供内容
(playtesting)	已准备好进行玩家验证的设计方案
(rulebook writing)	已测试完成、可用于文档编写的机制

Complementary

互补技能

Skill	Relationship
brainstorming	Use brainstorming for raw idea generation; abstract-strategy provides evaluation and refinement frameworks

技能	关系
brainstorming	用brainstorming生成原始想法；抽象策略游戏设计提供评估与优化框架