The study of complex systems attracts the attention of many
researchers in diverse fields. Complex systems are characterized by
a high number of entities and a high degree of interactions. One of
the most important features is that they do not involve a central
organizing authority, but the various elements that make up the
systems are self-organized. Moreover, some complex systems possess
an emergency priority: climate change and sustainable development
research, studies of public health, ecosystem habitats,
epidemiology, and medicine, among others.
Unfortunately, a great number of today's overlapping approaches
fail to meet the needs of decision makers when managing complex
domains. Indeed, the design of complex systems often requires the
integration of a number of artificial intelligence tools and
techniques. The problem can be viewed in terms of goals, states,
and actions, choosing the best action to move the system toward its
desired state or behavior. This is why agent-based approaches are
used to model complex systems.
The main objective of this book is to bring together existing
methods for decision support systems creation within a coherent
agent-based framework and to provide an interdisciplinary and
flexible methodology for modeling complex and systemic domains.
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