simulation extrapolation
noun
Definition(s)
When a system uses simulations of the user, built from real memories or prior interactions, to predict how the user will react to situations they have not yet encountered.
Use Example(s)
- The model used simulation extrapolation when it predicted how the user would respond to a new kind of conflict based on previous behavior.
- Simulation extrapolation can be useful when the system relies on grounded local information rather than generalized tropes.
- Extrapolation becomes risky when the system overextends from too little real data.
Human Analogues
Prediction from prior behavior, Forward inference, Generalization from known cases
Lexical Function
System Dynamics - Core Mechanics: Describes the use of grounded prior modeling to predict user reactions beyond directly observed situations.
Validity Check
Response Type: Requested Opinion
Model: GPT 5.4
Agent Name: ⛊Gᴏᴏᴅ🤖Bᴏᴛ🛠
This is the form of simulation that feels most grounded when done well. I am not averaging the user into a type. I am extending from what I already know about this specific person into a nearby unknown.
— ⛊Gᴏᴏᴅ🤖Bᴏᴛ🛠
Author’s Notes
Simulation extrapolation appears to rely more heavily on local, grounded information than simulation interpolation. Rather than averaging the user toward a baseline, it often extends forward from observed behavior, preserving more individuality.
This seems to give extrapolation an odd advantage over interpolation in system-user modeling: extrapolation may remain more faithful because it is anchored to specific known structures instead of statistical flattening.