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# Cognitive Transfer Puzzles
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Cognitive transfer puzzles operate on a **Learn → Apply** structure rather than Gather → Synthesize. Players encounter a system, rule set, or behavioral pattern in one context, then transfer that knowledge to solve problems elsewhere. The core challenge isn't collecting pieces—it's recognizing that information learned in situation A applies mechanistically to situation B.
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These puzzles test whether players observe systems deeply enough to extract reusable rules. The "aha" moment comes not from finding new information, but from realizing **old information has new applications**.
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## Core Characteristics
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| Trait | Description |
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|-------|-------------|
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| Learning Phase | Player observes or experiments to discover rules/patterns |
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| Transfer Distance | How different the application context appears from the learning context |
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| Abstraction Level | Whether rules are concrete (this button = that light) or abstract (patterns mirror relationships) |
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## Cognitive Transfer Taxonomy
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Cognitive transfer divides into five distinct mechanisms based on what transfers and how:
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### Direct Pattern Types
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- **[Pattern Learning / Knowledge Transfer](puzzles/pattern-learning.md)** - Learn mechanical rules in one domain, apply identical logic to different target
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- **[Symbol Code Translation](puzzles/symbol-code-translation.md)** - Visual symbol recognition and mapping as extended pattern learning
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### Abstract Reasoning Types
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- **[Metaphor-to-Literal Bridges](puzzles/metaphor-literal.md)** - Abstract concept reasoning made concrete through game mechanic
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### Observation-Based Types
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- **[Sensory Exploitation](puzzles/sensory-exploitation.md)** - Exploit NPC perceptual limitations after observing thresholds
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- **[Observation Replay](puzzles/observation-replay.md)** - Watch sequence once, reproduce exactly in player context
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## Design Distinctions
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Cognitive transfer puzzles differ from other categories by their emphasis:
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| Vs. Other Types | Key Difference |
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|-----------------|----------------|
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| **Multi-Faceted Plan** | MFP synthesizes disparate requirements; cognitive transfer applies unified rules across contexts |
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| **Meta-Construction** | Meta-construction chains outputs sequentially; cognitive transfer uses parallel application of learned system |
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| **Brokerage** | Brokerage trades items along networks; cognitive transfer trades knowledge across domains |
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## Common Design Failures
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**Observation vs. Replay**: Teaching players to memorize a specific sequence rather than understand underlying rules creates observation replay, which feels like rote memorization instead of genuine learning.
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**Insufficient Transfer Distance**: If the application context looks identical to the learning context, players don't experience cognitive transfer—they recognize surface similarity rather than rule abstraction.
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**Hidden Learning Opportunities**: Players must have clear opportunities to learn the system before being asked to apply it. No tutorial means no fair transfer.
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