Round 4 · simulation 5 · mcts-m3.m3-kor-mcts-tier-rank

Round 2030

Round 4 of 20 in simulation 5 of South Korea, tree search, 20 years: 0 actions, and the index +0.151 to 16.22.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1

State in and state out

The simulation as it came into 2030 (the end of 2029) and as it left it.

Capability index
16.22 (+0.151)
In: 16.07
Rank by index
6
In: 6
Domains at Tier 1
3
In: 2
Credits carried
908
In: 544
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology15.9916.00+0.0043
Strategic Infrastructure16.2016.29+0.0952
National Security14.4114.49+0.0843
Human Capital17.6418.14+0.5021
Information & Influence15.5915.90+0.3082
Governance & Integrity15.8315.94+0.1084 → 3
Financial Strength15.8615.90+0.0395
Production & Innovation16.4916.52+0.0331
Trade & Investment16.6116.80+0.1862 → 1

Decision, shocks and propagation

What happened in 2030: 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 1,035, plus 544 carried in. Maintenance 670. Nothing spent on actions. 908 carried over.

Earlier events still landing: +4.7 points this round.

Tiers. Governance & Integrity Tier 4 to 3; Trade & Investment Tier 2 to 1.

The groups that moved most in 2030, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Technical & Vocational Skills+1.49+1.450.00+0.040.00
Alliances & Security Cooperation+1.39+1.240.00+0.16−0.01
Lifelong Learning & Reskilling+1.32+1.300.00+0.040.00
Trade Policy & Market Access+1.08+1.040.00+0.04−0.01
Digital & AI Competence+0.72+0.680.00+0.040.00
Advanced Education+0.54+0.510.00+0.040.00