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Base architecture for preference based agents

Authors: M. El-Shagi;

Base architecture for preference based agents

Abstract

The paper integrates economic knowledge into the realm of artificial agent development. The goal is to show where problems can and will occur on the way to planning software that can simulate the market mechanism of allocation, thereby granting efficiency. Further general approaches showing how these problems can be avoided in the most efficient way possible are outlined.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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