fabricate
发表于 2025-3-28 16:07:47
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连接
发表于 2025-3-28 21:14:27
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Mendacious
发表于 2025-3-29 01:31:05
Bénédicte Dujardinework that will assist strategy designers with the different aspects involved in designing a strategy. At present, such strategies are typically designed in an ad-hoc and intuitive manner with little regard for discerning best practice or attaining re-usability in the design process. Given this, our
entail
发表于 2025-3-29 05:32:24
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adipose-tissue
发表于 2025-3-29 08:28:44
Manfred Deistlerned to participate in the same environment. Such comparisons are the basis for the Trading Agent Competition (TAC), in which autonomous trading agents compete in simulated market scenarios. TAC servers and agents alike are highly specialized, and typically require teams of developers as TAC simulati
Lamina
发表于 2025-3-29 14:21:18
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CHASM
发表于 2025-3-29 18:13:07
Martine Olivities to buy: now or later. The buyer can spread the quantity over the two timeslots in any way, as long as the total quantity remains the same. The current price is known, but the future price is not. It is well known that risk neutral buyers purchase in whichever timeslot they expect to be the chea
Dysarthria
发表于 2025-3-29 22:49:21
Laurent Baratchartall around the world are providing incentives for consumers to buy electric vehicles (EVs). A positive response from consumers means that the demand for the charging infrastructure increases as well. We investigate how an existing traditional parking lot, upgraded with chargers, can suit the present
homocysteine
发表于 2025-3-30 01:55:47
Luca Biasco,Alessandra Cellettiabilistic estimate of some unknown parameter, by eliciting and fusing estimates from multiple suppliers. Each of these suppliers is capable of producing a probabilistic estimate of any precision, up to a privately known maximum, and by fusing several low precision estimates together the centre is ab
GLADE
发表于 2025-3-30 06:05:07
Viviane Baladithe TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid prices – the highest prices the agent can offer custome