Electronic negotiations concern transactions on the basis of
electronic media, such as the Internet. Platforms have been
developed to aid participants in electronic markets during the
agreement phase. The key activity in this is the matching of offers
and requests, for which we need a ranking of the alternatives. In
this book the author defines a framework in which a ranking can be
generated in order to acquire an optimal decision for a desired
transaction - this process is called matchmaking.
The author introduces a generic framework for multidimensional,
multiattribute matchmaking, its implementation, and an analysis of
it. The genericity of the authora (TM)s approach means that the
implementation, realized as a multiagent system, can represent both
offering and requesting agents, and the framework can be applied to
a huge variety of applications. The use cases in the book are
derived from the human resources domain, and thus involve quite
complex matchmaking.
The authora (TM)s presentation is thorough and self-contained.
He provides definitions of the relevant business and computer
science terms, and detailed explanations of the underlying
mathematical tools and software implementations.
General
| Imprint: |
Springer-Verlag
|
| Country of origin: |
Germany |
| Series: |
Lecture Notes in Artificial Intelligence, 2882 |
| Release date: |
December 2003 |
| First published: |
2003 |
| Authors: |
Daniel J. Veit
|
| Dimensions: |
233 x 155 x 10mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
180 |
| Edition: |
2003 ed. |
| ISBN-13: |
978-3-540-20500-5 |
| Categories: |
Books >
Computing & IT >
Computer programming >
General
|
| LSN: |
3-540-20500-4 |
| Barcode: |
9783540205005 |
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