Please use this identifier to cite or link to this item:
doi:10.22028/D291-25226
Title: | The eager bidder problem : a fundamental problem of DAI and selected solutions |
Author(s): | Schillo, Michael Fischer, Klaus Kray, Christian |
Language: | English |
Year of Publication: | 2001 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 2001 |
SWD key words: | Künstliche Intelligenz |
Free key words: | task assignment contract net protocol commitment coordination bidding agents |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | The contract net protocol [17] [18] is a widely used protocol in DAI, as it proved to be a flexible and low communication interaction protocol for task assignment. It is however not clear how agents participating in a contract net should allocate their resources, if a large number of contract nets is performed concurrently. If the agent allocates too many resources at an early stage, it may not get its bid accepted and therefore resources are not available for other tasks, if it allocates too late, it may have committed to do more tasks than its resources allow for. In this paper we present an ad hoc solution and two more complex strategies for solving this problem. Furthermore, we introduce a new method based on a statistic approach. We describe these mechanisms and how they deal with the concept of commitment on different levels. There is no optimal solution for every problem setting, but each has advantages and disadvantages. Our discussion concludes with criteria for the decision on which of these mechanisms is best to select for a given problem domain. |
Link to this record: | urn:nbn:de:bsz:291-scidok-50434 hdl:20.500.11880/25282 http://dx.doi.org/10.22028/D291-25226 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 01-03 |
Date of registration: | 7-Feb-2013 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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RR_01_03_.pdf | 6,75 MB | Adobe PDF | View/Open |
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