|
Showing 1 - 8 of
8 matches in All Departments
New Directions in Computational Economics brings together for the
first time a diverse selection of papers, sharing the underlying
theme of application of computing technology as a tool for
achieving solutions to realistic problems in computational
economics and related areas in the environmental, ecological and
energy fields. Part I of the volume addresses experimental and
computational issues in auction mechanisms, including a survey of
recent results for sealed bid auctions. The second contribution
uses neural networks as the basis for estimating bid functions for
first price sealed bid auctions. Also presented is the `smart
market' computational mechanism which better matches bids and
offers for natural gas. Part II consists of papers that formulate
and solve models of economics systems. Amman and Kendrick's paper
deals with control models and the computational difficulties that
result from nonconvexities. Using goal programming, Nagurney, Thore
and Pan formulate spatial resource allocation models to analyze
various policy issues. Thompson and Thrall next present a rigorous
mathematical analysis of the relationship between efficiency and
profitability. The problem of matching uncertain streams of assets
and liabilities is solved using stochastic optimization techniques
in the following paper in this section. Finally, Part III applies
economic concepts to issues in computer science in addition to
using computational techniques to solve economic models.
Researchers and practitioners interested in the current De- cision
Support System (DSS) and the shape of future DSS are the intended
audience of this book. There is a particular, recurring emphasis on
the adaptation of artificial intelli- gence techniques for use in
the DSS world. The chapters are organized in two major sections,
the first dealing with the- oretical topics and the second with
applications.
Over the past two decades, many advances have been made in the
decision support system (DSS) field. They range from progress in
fundamental concepts, to improved techniques and methods, to
widespread use of commercial software for DSS development. Still,
the depth and breadth of the DSS field continues to grow, fueled by
the need to better support decision making in a world that is
increasingly complex in terms of volume, diversity, and
interconnectedness of the knowledge on which decisions can be
based. This continuing growth is facilitated by increasing computer
power and decreasing per-unit computing costs. But, it is
spearheaded by the multifaceted efforts of DSS researchers. The
collective work of these researchers runs from the speculative to
the normative to the descriptive. It includes analysis of what the
field needs, designs of means for meeting recognized needs, and
implementations for study. It encompasses theoretical, empirical,
and applied orientations. It is concerned with the invention of
concepts, frameworks, models, and languages for giving varied,
helpful perspectives. It involves the discovery of principles,
methods, and techniques for expeditious construction of successful
DSSs. It aims to create computer-based tools that facilitate DSS
development. It assesses DSS efficacy by observing systems, their
developers, and their users. This growing body of research
continues to be fleshed out and take shape on a strong, but
still-developing, skeletal foundation.
This volume contains a selection of papers presented at the first
conference of the Society for Computational Economics held at ICC
Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are
included in this volume, devoted to applications of computational
methods for the empirical analysis of economic and financial
systems; the development of computing methodology, including
software, related to economics and finance; and the overall impact
of developments in computing. The various contributions represented
in the volume indicate the growing interest in the topic due to the
increased availability of computational concepts and tools and the
necessity of analyzing complex decision problems. The papers in
this volume are divided into four sections: Computational methods
in econometrics, Computational methods in finance, Computational
methods for a social environment and New computational
methods.GBP/LISTGBP
This volume contains a selection of papers presented at the first
conference of the Society for Computational Economics held at ICC
Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are
included in this volume, devoted to applications of computational
methods for the empirical analysis of economic and financial
systems; the development of computing methodology, including
software, related to economics and finance; and the overall impact
of developments in computing. The various contributions represented
in the volume indicate the growing interest in the topic due to the
increased availability of computational concepts and tools and the
necessity of analyzing complex decision problems. The papers in
this volume are divided into four sections: Computational methods
in econometrics, Computational methods in finance, Computational
methods for a social environment and New computational
methods.GBP/LISTGBP
New Directions in Computational Economics brings together for the
first time a diverse selection of papers, sharing the underlying
theme of application of computing technology as a tool for
achieving solutions to realistic problems in computational
economics and related areas in the environmental, ecological and
energy fields. Part I of the volume addresses experimental and
computational issues in auction mechanisms, including a survey of
recent results for sealed bid auctions. The second contribution
uses neural networks as the basis for estimating bid functions for
first price sealed bid auctions. Also presented is the smart
market' computational mechanism which better matches bids and
offers for natural gas. Part II consists of papers that formulate
and solve models of economics systems. Amman and Kendrick's paper
deals with control models and the computational difficulties that
result from nonconvexities. Using goal programming, Nagurney, Thore
and Pan formulate spatial resource allocation models to analyze
various policy issues. Thompson and Thrall next present a rigorous
mathematical analysis of the relationship between efficiency and
profitability. The problem of matching uncertain streams of assets
and liabilities is solved using stochastic optimization techniques
in the following paper in this section. Finally, Part III applies
economic concepts to issues in computer science in addition to
using computational techniques to solve economic models.
Over the past two decades, many advances have been made in the
decision support system (DSS) field. They range from progress in
fundamental concepts, to improved techniques and methods, to
widespread use of commercial software for DSS development. Still,
the depth and breadth of the DSS field continues to grow, fueled by
the need to better support decision making in a world that is
increasingly complex in terms of volume, diversity, and
interconnectedness of the knowledge on which decisions can be
based. This continuing growth is facilitated by increasing computer
power and decreasing per-unit computing costs. But, it is
spearheaded by the multifaceted efforts of DSS researchers. The
collective work of these researchers runs from the speculative to
the normative to the descriptive. It includes analysis of what the
field needs, designs of means for meeting recognized needs, and
implementations for study. It encompasses theoretical, empirical,
and applied orientations. It is concerned with the invention of
concepts, frameworks, models, and languages for giving varied,
helpful perspectives. It involves the discovery of principles,
methods, and techniques for expeditious construction of successful
DSSs. It aims to create computer-based tools that facilitate DSS
development. It assesses DSS efficacy by observing systems, their
developers, and their users. This growing body of research
continues to be fleshed out and take shape on a strong, but
still-developing, skeletal foundation.
This volume engages the profound impact upon economics and related
disciplines by the growth and improvements in information systems.
Contributors survey many of the most significant issues in
economics and our progress on them. The chapters in this volume
focus on various individual interrelated subjects regarding the
economics of information systems: the adoption and diffusion of
information technologies; the pricing of data communications; the
ways firms organize and transform themselves as information is
better captured and disseminated within and across firms and
customers; the means and tactics firms us to compete with each
other; the manner in which firms interact with and distribute goods
to customers; the methods and mechanisms for anonymous and
infrequent interactions between users, firms, and customers in far
reaching locations; and the type and use of information on
customers and their behavior. These issues span areas of economics
and disciplines within business schools. The volume provides a
survey of our current state of knowledge in theses areas, while
simultaneously framing the most fruitful directions for future
research.
*The Handbooks in Information Systems is a comprehensive survey of
the field of Information Systems
*Each individual Volume gives the state-of-the-art of a sub-field
of the Information Systems area
*Volumes are divided into Chapters written by leading experts in
the field
|
|