Table 3 Simulation algorithm variables
Parameter name | Description | Representation | Default value |
|---|---|---|---|
Majority N | Number of agents used in a majority opinion. | MajN # (10 is 10 agents used) | 10 |
Honest trust increase α | Standard increment to an agent’s trust resulting from an honesty evaluation, with a maximum value of 1.0. | α # (0.1 is 10% trust increase) | 0.1 |
Dishonest trust decrease β | Standard decrement to an agent’s trust resulting from an honesty evaluation, with a minimum value of 0.0. | β # (0.2 is 20% trust decrease) | 0.2 |
Advice trust threshold | Threshold where only agents with a trust value above this percent may be considered for advice. | AThresh # (0.41 is 41% trust threshold) | 0.41 |
Majority confidence threshold | Threshold which the majority opinion must be above in order to be considered. | MThresh # (0.51 is 51% majority threshold) | 0.51 |
Role penalization | Standard factor for increasing confidence depending on agent role. | RPenal # | 8 |
Time penalization | Standard comparison factor for time closeness. | TPenal # | 90 |
Location penalization | Standard comparison factor for location closeness. | LPenal # | 200 |
Indirect penalization | Standard factor for modifying confidence if the advice is indirect. | InPenal # | 1 |
Congestion weight | Standard factor for weighting the congestion value when calculating a road’s A* cost. | CongWeight # | 20 |