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Innovations in Multi-Agent Systems and Application - 1 (Hardcover, Edition.)
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Innovations in Multi-Agent Systems and Application - 1 (Hardcover, Edition.)
Series: Studies in Computational Intelligence, 310
Expected to ship within 12 - 17 working days
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In today's world, the increasing requirement for emulating the
behavior of real-world applications for achieving effective
management and control has necessitated the usage of advanced
computational techniques. Computational intelligence-based
techniques that combine a variety of problem solvers are becoming
increasingly pervasive. The ability of these methods to adapt to
the dynamically changing environment and learn in an online manner
has increased their usefulness in simulating intelligent behaviors
as observed in humans. These intelligent systems are able to handle
the stochastic and uncertain nature of the real-world problems.
Application domains requiring interaction of people or
organizations with different, even possibly conflicting goals and
proprietary information handling are growing exponentially. To
efficiently handle these types of complex interactions, distributed
problem solving systems like multiagent systems have become a
necessity. The rapid advancements in network communication
technologies have provided the platform for successful
implementation of such intelligent agent-based problem solvers. An
agent can be viewed as a self-contained, concurrently executing
thread of control that encapsulates some state and communicates
with its environment, and possibly other agents via message
passing. Agent-based systems offer advantages when independently
developed components must interoperate in a heterogenous
environment. Such agent-based systems are increasingly being
applied in a wide range of areas including telecommunications,
Business process modeling, computer games, distributed system
control and robot systems.
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