A Fuzzy Implementation for the Socio-Cognitive Approach to Trust - Trust Theory: A Socio-Cognitive and Computational Model - page 332

-1500 -1000 -500 0 500 1000 1500 2000

RANDOM

Costs_TRUST
TRUST_Ambient

Low_COST

FIRST_TRUST

STAT

RANDOM

Costs_TRUST
TRUST_Ambient

Low_COST

FIRST_TRUST

STAT

RANDOM

Costs_TRUST
TRUST_Ambient

Low_COST

FIRST_TRUST

STAT

Figure 11.16 Experiment 8: comparing different delegation strategies in different cases: number of
tasks performed (success rates, case 1), number of credits (gains, case 2), and number of analyzed offers
(time spent, case 3). (Reproduced with kind permission of Springer Science+Business Media C 2005)

In EXP9 (see Figure 11.17) we use controllability and we offer the possibility of re-posting
a task. An agent who uses controllability as an additional parameter for trust (i.e. giving a non
null weight to the corresponding edge in its FCM) is compared with agents who do not use it; it
is (more or less) biased towards choosing agents who give more reports and so they have more
possibilities of re-posting unsuccessful tasks (tasks can be reposted only once). All agents (ex-
cept TRUST BASE ) use the following heuristic in order to decide whether to retire delegation:

if (10 − current essay / current essay < 1) and ( success number < 3)

and ( I can repost ) then retire delegation

The experiment was performed for 200 tasks and 250 simulations. RANDOM is the baseline;
TRUST is the agent who uses ability, willingness and environment but without controllability;
TRUST BASE is the same agent but the one who never reposts their tasks; CONTROL 1