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Agent-Based Methods in Economics and Finance - Simulations in Swarm (Hardcover, 2002 ed.)
Loot Price: R4,424
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Agent-Based Methods in Economics and Finance - Simulations in Swarm (Hardcover, 2002 ed.)
Series: Advances in Computational Economics, 17
Expected to ship within 10 - 15 working days
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This volume on financial and economic simulations in Swarm marks
the continued progress by a group of researchers to incorporate
agent-based computer models as an important tool within their
discipline. Swarm promotes agent-based computer models as a tool
for the study of complex systems. A common language is leading to
the growth of user communities in specific areas of application.
Furthermore, by providing an organizing framework to guide the
development of more problem-specific structures, and by dealing
with a whole range of issues that affect their fundamental
correctness and their ability to be developed and reused, Swarm has
sought to make the use of agent-based models a legitimate tool of
scientific investigation that also meets the practical needs of
investigators within a community. Swarm's principal foundation is
an object-oriented representation of active agents interacting
among themselves and with their environment. To this base layer it
adds its own structures to drive, record and portrait the events
that occur across this world. The specific contents of any world,
however, are up to the experimenter to provide, either by building
them from scratch or by tapping previous contributions. This book
is notable in assembling a rich array of such contributions, which
are significant in their own right, but which can also be mined to
extract the reusable elements in their respective areas of finance
and economics. It also presents three interesting software
additions with tutorials in the form of simple financial and
economic applications. A Swarm meta-language closer to a natural
language', the use of internet-augmented Swarm for experimental
economics, and a Swarm visualbuilder will meet the challenges
launched by other agent-based modelling competitors. The Swarm
community at large can benefit greatly from the lead that the
growing field of computational economics is taking to address its
own needs, as represented by this book.
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