Round 1 · simulation 25 · mcts-m2.m2-kor-mcts-index

Round 2027

Round 1 of 20 in simulation 25 of South Korea, tree search, 20 years: 5 actions, and the index +0.052 to 16.05.

Model 0.1.0 · graph 0.2.0 · parameters 0.1.0

State in and state out

The simulation as it came into 2027 (the end of 2026) and as it left it.

Capability index
16.05 (+0.052)
In: 16.00
Rank by index
6
In: 6
Domains at Tier 1
2
In: 2
Credits carried
87
In: 0
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 Capital16.4916.96+0.4681
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 2027: 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 888. Maintenance 580. Spent 222 on actions (build 133, buy 44, partner 44). 87 carried over.

  • PartnerDigital & AI Competence44 credits for 1.69 levelsmctsahead of Technical & Vocational Skills by 0 per cent
  • BuildTechnical & Vocational Skills44 credits for 3.75 levelsmcts_fill
  • BuildLifelong Learning & Reskilling44 credits for 3.47 levelsmcts_fill
  • BuyResearch Talent & Knowledge Creation44 credits for 1.83 levelsmcts_fill
  • BuildAdvanced Education44 credits for 1.88 levelsmcts_fill
The groups that moved most in 2027, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Research Talent & Knowledge Creation+1.83+1.830.000.000.00
Technical & Vocational Skills+0.75+0.750.000.000.00
Lifelong Learning & Reskilling+0.69+0.690.000.000.00
Digital & AI Competence+0.56+0.560.000.000.00
Advanced Education+0.38+0.380.000.000.00