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<dc:date>2013-05-24T11:23:13Z</dc:date>
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<title>The future of Australia's mineral wealth: Leasing to support an ageing population</title>
<link>http://hdl.handle.net/10453/19400</link>
<description>The future of Australia's mineral wealth: Leasing to support an ageing population
Morrison Kevin; Giurco Damien
Saydam, S.

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<dc:date>2011-01-01T00:00:00Z</dc:date>
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<title>Procurement, Innovation and Competitiveness in the Construction Industry</title>
<link>http://hdl.handle.net/10453/7511</link>
<description>Procurement, Innovation and Competitiveness in the Construction Industry
De Valence Gerard
London, K; Thayarapen, G; Chen, j.
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<dc:date>2007-01-01T00:00:00Z</dc:date>
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<title>A Minimal Financial Market Model</title>
<link>http://hdl.handle.net/10453/7508</link>
<description>A Minimal Financial Market Model
Platen Eckhard
Kohlman M, Tang S
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<dc:date>2001-01-01T00:00:00Z</dc:date>
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<title>Identifying Arbitrage Opportunities in E-Markets</title>
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<description>Identifying Arbitrage Opportunities in E-Markets
Debenham John
Bauknecht K; Tjoa A M; Quirchmayr G
A market is in equilibrium if there is no opportunity for&#13;
arbitrage, ie: risk-free, or low-risk, profit. The majority of real markets are&#13;
not in equilibrium. A project is investigating the market evolutionary&#13;
process in a particular electronic market that has been constructed in an&#13;
on-going collaborative research project between a university and a&#13;
software house. The way in which actors (buyers, sellers and others) use&#13;
the market will be influenced by the information available to them. In&#13;
this experiment, data mining and filtering techniques are used to distil&#13;
both individual signals drawn from the markets and signals from the&#13;
Internet into meaningful advice for the actors. The goal of this&#13;
experiment is first to learn how actors will use the advice available to&#13;
them to identify arbitrage opportunities, and second how the market will&#13;
evolve through entrepreneurial intervention. In this electronic market a&#13;
multiagent process management system is used to manage all market&#13;
transactions including those that drive the market evolutionary process.
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<dc:date>2002-01-01T00:00:00Z</dc:date>
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