Round 2 · simulation 3 · mcts-m2.m2-kor-mcts-tier-rank

Round 2028

Round 2 of 20 in simulation 3 of South Korea, tree search, 20 years: 5 actions, and the index +0.066 to 16.14.

Model 0.1.0 · graph 0.2.0 · parameters 0.1.0

State in and state out

The simulation as it came into 2028 (the end of 2027) and as it left it.

Capability index
16.14 (+0.066)
In: 16.08
Rank by index
6
In: 6
Domains at Tier 1
2
In: 2
Credits carried
190
In: 82
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology16.0816.080.0002
Strategic Infrastructure16.3216.320.0002
National Security14.4114.49+0.0873
Human Capital16.9117.37+0.4551
Information & Influence15.4915.490.0003
Governance & Integrity15.8415.840.0004
Financial Strength16.0716.10+0.0295
Production & Innovation16.8816.89+0.0131
Trade & Investment16.6816.68+0.0082

Decision, shocks and propagation

What happened in 2028: the credits, the tree search (mcts) method's decision and its actions, any shocks and upside events, the tier changes, and the groups that moved most, split into what was invested, lost to decay, struck by events and carried through the dependency graph.

Credits. Income 916, plus 82 carried in. Maintenance 587. Spent 222 on actions (build 178, buy 44). 190 carried over.

  • BuySpace Operations44 credits for 1.74 levelsmcts
  • BuildTechnical & Vocational Skills44 credits for 3.45 levelsmcts_fill
  • BuildLifelong Learning & Reskilling44 credits for 3.11 levelsmcts_fill
  • BuildDigital & AI Competence44 credits for 2.22 levelsmcts_fill
  • BuildAdvanced Education44 credits for 1.88 levelsmcts_fill
The groups that moved most in 2028, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Technical & Vocational Skills+1.44+1.440.000.000.00
Lifelong Learning & Reskilling+1.32+1.320.000.000.00
Digital & AI Competence+0.97+0.970.000.000.00
Space Operations+0.87+0.870.000.000.00
Advanced Education+0.38+0.380.000.000.00
Fiscal Capacity & Public Finance+0.170.000.000.00+0.17