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Fig. 4.
Comparative results of Broadcast and EASI in function of the update process
the condition on the skill that becomes implicit : all the agents in a given environ-
ment share the same skill.
-
An agent which has received a ”request” answers with either an accept or a re-
ject message through an addressed message in the same way than in the previous
experimentation.
Fig. 5.
Comparative results of
Broadcast
,
Environment
and
Environment
3
The results shown in Fig. 5 feature 60 agents, and each test was done 15 times. The
number of steps of the simulation varies between 8000 and 25000. The receivers of re-
quest messages are selected over the position and skill properties. The results are con-
sistent with the previous findings, the
Environment
being significantly better than the
Broadcast
.Fu thermore,
Environment
3
shows a 50% to 68% gain over
Environment
. This highlights the importance of the number of agents and of the filter
complexity on the performance of the system. However, separating the agent descrip-
tions can only be done when they are not used in the same filters.
These experimentations show a clear advantage to the environment over the broad-
cast, and this result is backed up by the theoretical results. It shows the efficiency of the
context computing inside the environment in comparison with the classical approach
where the context is computed locally in each agent.
