Round 2 · simulation 45 · mcts-m2.m2-bra-mcts-tier-rank

Round 2028

Round 2 of 20 in simulation 45 of Brazil, tree search, 20 years: 5 actions, and the index +0.039 to 11.76.

Model 0.1.0 · graph 0.2.0 · parameters 0.1.0

State in and state out

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

Capability index
11.76 (+0.039)
In: 11.72
Rank by index
30
In: 30
Domains at Tier 1
0
In: 0
Credits carried
28
In: 14
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology8.958.950.0006
Strategic Infrastructure13.8013.800.0003
National Security9.429.420.0005
Human Capital12.1612.48+0.3116
Information & Influence11.8611.860.0005
Governance & Integrity12.1112.110.0009
Financial Strength13.1313.16+0.0389
Production & Innovation11.8811.880.0008
Trade & Investment12.1812.180.0007

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 386, plus 14 carried in. Maintenance 276. Spent 97 on actions (build 97). 28 carried over.

  • BuildFiscal Capacity & Public Finance19 credits for 0.69 levelsmctsahead of Research Talent & Knowledge Creation by 0 per cent
  • BuildDigital & AI Competence19 credits for 1.77 levelsmcts_fill
  • BuildTechnical & Vocational Skills19 credits for 1.80 levelsmcts_fill
  • BuildLifelong Learning & Reskilling19 credits for 1.94 levelsmcts_fill
  • BuildFoundational Education19 credits for 1.22 levelsmcts_fill
The groups that moved most in 2028, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Digital & AI Competence+0.80+0.800.000.000.00
Lifelong Learning & Reskilling+0.79+0.790.000.000.00
Technical & Vocational Skills+0.73+0.730.000.000.00
Foundational Education+0.49+0.490.000.000.00
Fiscal Capacity & Public Finance+0.23+0.230.000.000.00