Agent 31

Detailed timeline and behavior analysis

Agent Profile
Personal attributes and characteristics
Age
76
Gender
female
Education
bachelor and above
Income
$109,381
Home
500014076
Work
500020608
Total Decisions
144
Success Rate
95.1%
Unique Skills
10
Time Period
Day 0 - Day 2
Timeline
All decisions and actions taken by Agent 31 during the simulation
TimePhaseActionSuccessReason
Day 0, 00:00beforestay✓
Day 0, 00:30beforestay✓
Day 0, 01:00beforestay✓
Day 0, 01:30beforestay✓
Day 0, 02:00beforestay✓
Day 0, 02:30beforestay✓
Day 0, 03:00beforestay✓
Day 0, 03:30beforestay✓
Day 0, 04:00beforestay✓
Day 0, 04:30beforestay✓
Day 0, 05:00beforestay✓
Day 0, 05:30beforestay✓
Day 0, 06:00beforestay✓
Day 0, 06:30beforestay✓
Day 0, 07:00beforecommute_to_work✓
Day 0, 07:30beforemedical✓
Day 0, 08:00beforecommute_to_work✓
Day 0, 08:30beforeshelter✓
Day 0, 08:30beforeshelter✓
Day 0, 09:30beforecommute_to_work✓
Day 0, 10:00beforeshelter✓
Day 0, 10:30beforestay✓
Day 0, 11:00beforestay✓
Day 0, 11:30beforeshelter✓
Day 0, 12:00beforestay✓
Day 0, 12:30beforestay✓
Day 0, 13:00beforeshelter✓
Day 0, 13:30beforegrocery✗
Day 0, 14:00beforeerrands✓
Day 0, 14:30beforestay✓
Day 0, 15:00beforestay✓
Day 0, 15:30beforecheck_on_family✗
Day 0, 16:00beforestay✓
Day 0, 16:30beforecommute_to_home✓
Day 0, 17:00beforegrocery✗
Day 0, 17:30beforestay✓
Day 0, 18:00beforestay✓
Day 0, 18:30beforecommute_to_home✓
Day 0, 19:00beforestay✓
Day 0, 19:30beforegrocery✗
Day 0, 20:00beforeleisure✓
Day 0, 20:30beforestay✓
Day 0, 21:00beforestay✓
Day 0, 21:30beforestay✓
Day 0, 22:00beforestay✓
Day 0, 22:30beforemedical✓
Day 0, 23:00beforestay✓
Day 0, 23:30beforestay✓
Day 1, 00:00duringreturn_home✓
Day 1, 00:30duringstay✓
Day 1, 01:00duringstay✓
Day 1, 01:30duringstay✓
Day 1, 02:00duringstay✓
Day 1, 02:30duringstay✓
Day 1, 03:00duringstay✓
Day 1, 03:30duringstay✓
Day 1, 04:00duringstay✓
Day 1, 04:30duringstay✓
Day 1, 05:00duringstay✓
Day 1, 05:30duringstay✓
Day 1, 06:00duringstay✓
Day 1, 06:30duringstay✓
Day 1, 07:00duringstay✓
Day 1, 07:30duringstay✓
Day 1, 08:00duringmedical✓
Day 1, 08:00duringmedical✓
Day 1, 09:00duringstay✓
Day 1, 09:30duringreturn_home✓
Day 1, 09:30duringreturn_home✓
Day 1, 10:30duringstay✓
Day 1, 11:00duringstay✓
Day 1, 11:30duringmedical✓
Day 1, 12:00duringstay✓
Day 1, 12:30duringstay✓
Day 1, 13:00duringreturn_home✓
Day 1, 13:30duringstay✓
Day 1, 14:00duringstay✓
Day 1, 14:30duringstay✓
Day 1, 15:00duringstay✓
Day 1, 15:30duringstay✓
Day 1, 16:00duringstay✓
Day 1, 16:30duringstay✓
Day 1, 17:00duringstay✓
Day 1, 17:30duringstay✓
Day 1, 18:00duringstay✓
Day 1, 18:30duringstay✓
Day 1, 19:00duringstay✓
Day 1, 19:30duringstay✓
Day 1, 20:00duringstay✓
Day 1, 20:30duringstay✓
Day 1, 21:00duringstay✓
Day 1, 21:30duringstay✓
Day 1, 22:00duringstay✓
Day 1, 22:30duringstay✓
Day 1, 23:00duringstay✓
Day 1, 23:30duringstay✓
Day 2, 00:00afterstay✓
Day 2, 00:30afterstay✓
Day 2, 01:00afterstay✓
Day 2, 01:30afterstay✓
Day 2, 02:00afterstay✓
Day 2, 02:30afterstay✓
Day 2, 03:00aftermedical✓
Day 2, 03:30afterstay✓
Day 2, 04:00afterstay✓
Day 2, 04:30afterstay✓
Day 2, 05:00afterstay✓
Day 2, 05:30afterstay✓
Day 2, 06:00afterstay✓
Day 2, 06:30afterstay✓
Day 2, 07:00aftercommute_to_work✓
Day 2, 07:30afterstay✓
Day 2, 08:00aftercheck_on_family✗
Day 2, 08:30afterstay✓
Day 2, 09:00afterstay✓
Day 2, 09:30afterstay✓
Day 2, 10:00afterstay✓
Day 2, 10:30aftercheck_on_family✗
Day 2, 11:00afterstay✓
Day 2, 11:30afterstay✓
Day 2, 12:00aftererrands✓
Day 2, 12:30aftererrands✓
Day 2, 13:00aftererrands✓
Day 2, 13:30afterstay✓
Day 2, 14:00aftercheck_on_family✓
Day 2, 14:30afterstay✓
Day 2, 15:00afterstay✓
Day 2, 15:30afterstay✓
Day 2, 16:00afterstay✓
Day 2, 16:30afterstay✓
Day 2, 17:00afterstay✓
Day 2, 17:30afterstay✓
Day 2, 18:00afterstay✓
Day 2, 18:30aftergrocery✗
Day 2, 19:00afterstay✓
Day 2, 19:30aftermedical✓
Day 2, 20:00afterstay✓
Day 2, 20:30afterstay✓
Day 2, 21:00afterstay✓
Day 2, 21:30afterstay✓
Day 2, 22:00afterstay✓
Day 2, 22:30afterstay✓
Day 2, 23:00afterstay✓
Day 2, 23:30afterstay✓