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In-Depth Information
agent
v
M
I
m
s
q
R
X
m
M'
v'
Fig. 3.12
Schema illustrating the process of remembering conclusions by an agent from the process
of predicting its activity
The operation constitutes a kind of the agent's memory, which makes it possible to
use the history of the agent's activity to map out its strategy of activity.
Consequently, during the agent's activity, a change (evolution) of stored
information represented by
M
takes place, and consequently
M
may be considered
as the state of the agent at a particular moment.
3.6.4 The Classification of the Multi-agent Systems
Based on the M-agent Model
The architecture of the M-agent we suggested may be used for the classification of
agent systems from different points of view.
In particular, whenwe use the properties of the environment
v
for the classification,
we may distinguish the agent systems in the following way:
•
If the environment
is cyberspace, then the agent system consists of software
agents (also referred to as
the mobile software agents
).
v
•
If the environment
is realspace, then we may deal with the mobile robots with
a built-in (embedded) agent operating, e.g., in the processor of a robot (so-called
embodied agent
)
v
From the point of view of the complexity of the model
m
, we may consider the
following kinds of agents constituting the elements of the system:
•
If
m
is a simple model realized on the basis of a finite-state machine, then we deal
with so-called
reactive agent
.
