Round 2 · simulation 3 · mcts-m4.m4-kor-mcts-index-30y

Round 2028

Round 2 of 30 in simulation 3 of South Korea, tree search, 30 years: 5 actions, and the index +0.043 to 16.05.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1

State in and state out

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

Capability index
16.05 (+0.043)
In: 16.00
Rank by index
6
In: 6
Domains at Tier 1
2
In: 2
Credits carried
535
In: 335
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology16.0816.080.0002
Strategic Infrastructure16.3216.320.0002
National Security14.4114.410.0003
Human Capital16.4916.88+0.3901
Information & Influence15.4915.490.0003
Governance & Integrity15.8415.840.0004
Financial Strength16.0716.070.0005
Production & Innovation16.6316.630.0001
Trade & Investment16.6816.680.0002

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 1,014, plus 335 carried in. Maintenance 662. Spent 152 on actions (build 91, buy 61). 535 carried over.

  • BuyTechnical & Vocational Skills30 credits for 1.11 levelsmcts
  • BuildLifelong Learning & Reskilling30 credits for 2.48 levelsmcts_fill
  • BuildDigital & AI Competence30 credits for 1.82 levelsmcts_fill
  • BuyResearch Talent & Knowledge Creation30 credits for 1.28 levelsmcts_fill
  • BuildAdvanced Education30 credits for 1.32 levelsmcts_fill
The groups that moved most in 2028, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Research Talent & Knowledge Creation+1.28+1.280.000.000.00
Technical & Vocational Skills+1.11+1.110.000.000.00
Lifelong Learning & Reskilling+0.50+0.500.000.000.00
Digital & AI Competence+0.36+0.360.000.000.00
Advanced Education+0.27+0.270.000.000.00