Round 3 · simulation 1 · mcts-m4.m4-kor-mcts-index-20y

Round 2029

Round 3 of 20 in simulation 1 of South Korea, tree search, 20 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 2029 (the end of 2028) 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
853
In: 653
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+0.3891
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 2029: 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 653 carried in. Maintenance 662. Spent 152 on actions (build 91, buy 61). 853 carried over.

  • BuyDigital & AI Competence30 credits for 0.93 levelsmctsahead of Digital & AI Competence by 0 per cent
  • BuildTechnical & Vocational Skills30 credits for 2.65 levelsmcts_fill
  • BuildLifelong Learning & Reskilling30 credits for 2.48 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 2029, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Research Talent & Knowledge Creation+1.28+1.280.000.000.00
Digital & AI Competence+0.93+0.930.000.000.00
Technical & Vocational Skills+0.53+0.530.000.000.00
Lifelong Learning & Reskilling+0.50+0.500.000.000.00
Advanced Education+0.27+0.270.000.000.00