Round 2 · simulation 30 · mcts-m2.m2-gbr-mcts-tier-rank

Round 2028

Round 2 of 20 in simulation 30 of United Kingdom, tree search, 20 years: 5 actions, and the index +0.074 to 16.57.

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
16.57 (+0.074)
In: 16.49
Rank by index
3
In: 3
Domains at Tier 1
3
In: 3
Credits carried
201
In: 98
Each domain's mean score and tier coming in and going out
DomainInOutChangeTier
Critical Technology16.1616.160.0003
Strategic Infrastructure16.0316.030.0002
National Security16.2816.280.0002
Human Capital16.5217.18+0.6631
Information & Influence17.1517.150.0002
Governance & Integrity16.4816.480.0001
Financial Strength17.3617.360.0002
Production & Innovation15.9215.920.0001
Trade & Investment16.5416.540.0003

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 951, plus 98 carried in. Maintenance 611. Spent 238 on actions (build 190, partner 48). 201 carried over.

  • PartnerDigital & AI Competence48 credits for 1.74 levelsmcts
  • BuildTechnical & Vocational Skills48 credits for 3.74 levelsmcts_fill
  • BuildLifelong Learning & Reskilling48 credits for 3.80 levelsmcts_fill
  • BuildFoundational Education48 credits for 2.32 levelsmcts_fill
  • BuildAdvanced Education48 credits for 1.75 levelsmcts_fill
The groups that moved most in 2028, and what moved them
Moved mostChangeInvestedDecayEventsGraph
Lifelong Learning & Reskilling+1.55+1.550.000.000.00
Technical & Vocational Skills+1.53+1.530.000.000.00
Digital & AI Competence+1.18+1.180.000.000.00
Foundational Education+0.95+0.950.000.000.00
Advanced Education+0.74+0.740.000.000.00