MPredict anythingMIROFISH 米罗鱼
MiroFish 米罗鱼/Social Simulation 社会模拟
Social system, group interaction, and emergent-behavior rehearsal

Social Simulation

Social Simulation社会模拟

Use Social Simulation to rehearse how groups, institutions, norms, incentives, and network pressure may interact when a social system faces a decision, intervention, or public change.

Scenario / Simulation view
Social simulation for a system intervention 社会系统干预的社会模拟
3 rounds
R1
Social groups 社会群体
Group position forms 群体立场形成
R2
Institutions 机构
Norm pressure spreads 规范压力扩散
R3
Norm and network pressure 规范与网络压力
Emergent behavior appears 涌现行为出现
Actors12+
Reaction paths24
Risk signals8
Inputs that make this useful

Bring evidence that gives the simulation a real boundary.

The best runs start with enough context for MiroFish to separate the decision, the actors, and the constraints.

Decision brief

Use the decision, memo, launch note, policy draft, pricing change, or scenario summary behind Social Simulation.

Evidence notes

Add interviews, reports, support notes, competitor claims, public posts, or other context the actors should react to.

Constraint context

Include timing, audience, incentives, limits, and assumptions that should shape the simulated response.

Decision pressure this catches

See where the response starts to move.

Pressure 01

Group position forms

Watch how social groups respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 02

Norm pressure spreads

Watch how institutions respond when this signal appears, then inspect whether the path needs more evidence.

Pressure 03

Emergent behavior appears

Watch how norm and network pressure respond when this signal appears, then inspect whether the path needs more evidence.

Workflow

Turn a market question into a simulated response path.

Each use case page should show how MiroFish moves from seed material to actors, reactions, report structure, and follow-up questions.

Step 01

Frame the question

Define the social system question so the simulation starts with a concrete job.

Step 02

Map actors and incentives

Turn source material into actors, constraints, relationships, and the assumptions worth reviewing.

Step 03

Run reaction rounds

Let social groups, institutions, norm and network pressure move through multiple rounds instead of compressing the answer into one guess.

Step 04

Read the next test

Use the report to find pressure signals, weak evidence, and the follow-up question that should be tested next.

Report Preview

The report makes pressure points visible.

Visitors should understand what they will inspect before they open the full MiroFish workspace.

Scenario report

Group dynamics

  • First pressure signal
  • Actor movement
  • Assumptions to review

Norm signals

  • Reaction path
  • Objection cluster
  • Confidence boundary

Intervention next steps

  • Evidence to collect
  • Message to test
  • Follow-up prompt

What the report should answer

How to read the result.

  • Which social simulation pressure signal appears first
  • Which actors amplify or redirect the path
  • Which assumption should be challenged before acting
  • Which follow-up question should be tested next

What it does not promise

Paths are not certainty.

  • Guaranteed revenue, vote share, scoreline, adoption, or public reaction
  • A substitute for customer research, field data, or accountable judgment
  • Live context unless you provide current source material
  • A final decision without reviewing the evidence boundary
Why structure matters

MiroFish gives the answer a shape you can inspect.

A normal chat answer can be useful, but this workflow makes the actors, reaction rounds, and assumptions easier to challenge.

Reasoning structure

Chatbot

One compressed answer

MiroFish

Actor graph and constraints

Reaction behavior

Chatbot

Advice summary

MiroFish

Multi-round paths

Reviewability

Chatbot

Hard to inspect after the answer

MiroFish

Report, assumptions, and follow-up questions

Related simulation paths

Compare this use case with nearby simulation paths.

MiroFish works best when the page matches the decision you need to rehearse. Use these related paths when the scenario overlaps with another actor model, planning method, or pressure surface.

Open the workspace

Run this use case in MiroFish.

Start simulation
FAQ

Questions before the simulation

What is Social Simulation AI for?+

It helps policy, research, product, strategy, and operations teams rehearse how groups, institutions, norms, incentives, and network pressure may interact inside a social system before an intervention or public change.

How is Social Simulation different from LLM Social Simulation?+

Social Simulation focuses on broader social systems, group dynamics, institutional pressure, norm diffusion, and emergent behavior. LLM Social Simulation focuses more narrowly on language-model actors with roles, memory, and group reaction.

What inputs work best for social simulation?+

Use a policy memo, product change, community rule, organizational intervention, social research question, stakeholder map, incentive model, or public narrative with the affected groups and time horizon clearly stated.