Agent 70

Detailed timeline and behavior analysis

Agent Profile
Personal attributes and characteristics
Age
27
Gender
female
Education
below bachelor
Income
$37,744
Home
500020469
Work
500002912
Total Decisions
144
Success Rate
90.3%
Unique Skills
9
Time Period
Day 0 - Day 2
Timeline
All decisions and actions taken by Agent 70 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, 07:30beforestay✓
Day 0, 08:00beforestay✓
Day 0, 08:30beforestay✓
Day 0, 09:00beforestay✓
Day 0, 09:30beforeerrands✓
Day 0, 10:00beforestay✓
Day 0, 10:30beforeerrands✓
Day 0, 11:00beforegrocery✗
Day 0, 11:30beforegrocery✗
Day 0, 12:00beforestay✓
Day 0, 12:30beforeerrands✓
Day 0, 13:00beforeerrands✓
Day 0, 13:30beforecheck_on_family✓
Day 0, 14:00beforeerrands✓
Day 0, 14:30beforegrocery✗
Day 0, 15:00beforeerrands✓
Day 0, 15:30beforegrocery✗
Day 0, 16:00beforecommute_to_home✓
Day 0, 16:30beforegrocery✗
Day 0, 17:00beforestay✓
Day 0, 17:30beforecommute_to_home✓
Day 0, 17:30beforecommute_to_home✓
Day 0, 18:30beforegrocery✗
Day 0, 18:30beforegrocery✗
Day 0, 19:30beforereturn_home✓
Day 0, 20:00beforestay✓
Day 0, 20:30beforestay✓
Day 0, 21:00beforestay✓
Day 0, 21:30beforeleisure✓
Day 0, 22:00beforestay✓
Day 0, 22:30beforestay✓
Day 0, 23:00beforestay✓
Day 0, 23:30beforestay✓
Day 1, 00:00duringstay✓
Day 1, 00:30duringreturn_home✓
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, 08:00duringstay✓
Day 1, 08:30duringstay✓
Day 1, 09:00duringstay✓
Day 1, 09:30duringstay✓
Day 1, 10:00duringstay✓
Day 1, 10:30duringstay✓
Day 1, 11:00duringstay✓
Day 1, 11:30duringstay✓
Day 1, 12:00duringmedical✓
Day 1, 12:30duringreturn_home✓
Day 1, 13:00duringstay✓
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, 20:30duringmedical✓
Day 1, 21:00duringreturn_home✓
Day 1, 21:00duringreturn_home✓
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, 03:00afterstay✓
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, 08:30aftercommute_to_work✓
Day 2, 09:00aftercheck_on_family✗
Day 2, 09:30aftererrands✓
Day 2, 10:00afterstay✓
Day 2, 10:30aftercheck_on_family✗
Day 2, 11:00afterstay✓
Day 2, 11:30aftererrands✓
Day 2, 12:00aftercheck_on_family✗
Day 2, 12:30afterstay✓
Day 2, 13:00aftercheck_on_family✓
Day 2, 13:30aftererrands✓
Day 2, 14:00aftercheck_on_family✗
Day 2, 14:30afterstay✓
Day 2, 15:00aftererrands✓
Day 2, 15:30aftergrocery✗
Day 2, 16:00aftercheck_on_family✗
Day 2, 16:30afterstay✓
Day 2, 17:00afterreturn_home✓
Day 2, 17:30aftergrocery✗
Day 2, 18:00afterreturn_home✓
Day 2, 18:30afterstay✓
Day 2, 19:00afterleisure✓
Day 2, 19:30afterstay✓
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✓