@COMMENT This file was generated by bib2html.pl version 0.90
@COMMENT written by Patrick Riley
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@incollection(LAMAS05-kurt,
author="Kurt Dresner and Peter Stone",
title="Multiagent Traffic Management: Opportunities for Multiagent Learning",
booktitle="LAMAS 2005",
editor="K.~Tuyls et al.",
series="Lecture Notes in Artificial Intelligence",
volume="3898",
pages="129--138",
Publisher="Springer Verlag",address="Berlin",year="2006",
abstract={
Traffic congestion is one of the leading causes of
lost productivity and decreased standard of living
in urban settings. In previous work published at
AAMAS, we have proposed a novel reservation-based
mechanism for increasing throughput and decreasing
delays at intersections. In more recent work, we
have provided a detailed protocol by which two
different classes of agents (intersection managers
and driver agents) can use this system. We believe
that the domain created by this mechanism and
protocol presents many opportunities for multiagent
learning on the parts of both classes of agents. In
this paper, we identify several of these
opportunities and offer a first-cut approach to
each.
},
wwwnote={LAMAS-05.
Official version from Publisher's Webpage© Springer-Verlag
},
)