Round 3 · simulation 1 · mcts-m3.m3-kor-mcts-score-sum

Round 2029

Round 3 of 20 in simulation 1 of South Korea, tree search, 20 years: 5 actions, and the index +0.037 to 16.04.

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: 16.04 (+0.037); 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
Domain	In	Out	Change	Tier
Critical Technology	16.08	16.08	0.000	2
Strategic Infrastructure	16.32	16.32	0.000	2
National Security	14.41	14.41	0.000	3
Human Capital	16.49	16.82	+0.329	1
Information & Influence	15.49	15.49	0.000	3
Governance & Integrity	15.84	15.84	0.000	4
Financial Strength	16.07	16.07	0.000	5
Production & Innovation	16.63	16.63	0.000	1
Trade & Investment	16.68	16.68	0.000	2

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 30, partner 30). 853 carried over.

PartnerDigital & AI Competence30 credits for 1.19 levelsmctsahead of Research Talent & Knowledge Creation 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 most	Change	Invested
Research Talent & Knowledge Creation	+1.28	+1.28
Technical & Vocational Skills	+0.53	+0.53
Lifelong Learning & Reskilling	+0.50	+0.50
Digital & AI Competence	+0.40	+0.40
Advanced Education	+0.27	+0.27