Titlebook: Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Marke; AMEC/TADA 2015, Ista Sofia Ceppi,Esth

吹牛大王

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https://doi.org/10.1057/9781137326874lue of the auctioned item (e.g., the true condition of an auctioned car, the sales forecast for a company offered for sale). This paper extends prior work, that has considered mostly the information pricing question in this archetypal three-ply bidders-auctioneer-information broker model, by enablin

刀鋒

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Cultivating Organizational Excellenceall 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

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Joana Rita Sousa,Pieter Mostertpetitive environment. Participants create broker agents that trade electricity. In this paper we describe our broker, which we created as a participant of the 2014 Power TAC competition. We describe the strategies for two main components of the game: the tariff market and the wholesale market. We al

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Building Resilience for Early Years Teachersiece of our prior work in the domain, the reinforcement learning-based grey-box approach?[.]. Our experiments show that given the same search space the grey-box approach is able to produce better auction mechanisms than the genetic algorithmic approach. The comparison can also shed light on the desi