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Springer - Agent-Based Simulation From Modeling Methodologies to Real-World Applications.pdf

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Springer - Agent-Based Simulation From Modeling Methodologies to Real-World Applications.pdf

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Springer - Agent-Based Simulation From Modeling Methodologies to Real-World Applications.pdf

文档介绍

文档介绍:Agent-Based Social Systems
Volume 1
Series Editor: Hiroshi Deguchi, Yokohama, Japan
ABSS — Agent-Based Social Systems
This series is intended to further the creation of the science of agent-based social
systems, a field that is establishing itself as a transdisciplinary and cross-cultural
science. The series will cover a broad spectrum of sciences, such as social systems
theory, sociology, business administration, management information science,
organization science, computational anization theory, economics,
evolutionary economics, international political science, jurisprudence, policy science,
socioinformation studies, cognitive science, artificial intelligence, complex adaptive
systems theory, philosophy of science, and other related disciplines.
The series will provide a systematic study of the various new cross-cultural arenas
of the human sciences. Such an approach has been essfully tried several times in
the history of the modern sciences of humanities and systems and has helped to create
such important conceptual frameworks and theories as ics, synergetics,
general systems theory, cognitive science, plex adaptive systems.
We want to create a conceptual framework and design theory for socioeconomic
systems of the twenty-first century in a cross-cultural and transdisciplinary context.
For this purpose we plan to take an agent-based approach. Developed over the last
decade, agent-based modeling is a new trend within the social sciences and is a child
of the modern sciences of humanities and systems. In this series the term "agent-
based" is used across a broad spectrum that includes not only the classical usage of
the normative and rational agent but also an interpretive and subjective agent. We
seek the antinomy of the macro and micro, subjective and rational, functional and
structural, bottom-up and top-down, global and local, and structure and agency within
the social sciences. Agent-based modeling include