By Martin Chapman, Gareth Tyson, Katie Atkinson (auth.), Esther David, Christopher Kiekintveld, Valentin Robu, Onn Shehory, Sebastian Stein (eds.)
This quantity comprises eleven completely refereed and revised papers detailing contemporary advances in learn on designing buying and selling brokers and mechanisms for agent-mediated e-commerce. They have been initially offered on the Joint Workshop on buying and selling Agent layout and research (TADA 2012) and Agent-Mediated digital trade (AMEC 2012) co-located with AAMAS 2012 in Valencia, Spain, in June 2012.
The expanding reliance on software program brokers has created a variety of urgent new examine demanding situations, together with the layout of acceptable agent determination algorithms, ways for predicting the advanced behaviors and interactions of a number of brokers, together with the computation of equilibria, and the engineering of protocols and mechanisms that confirm digital markets behave in a strong demeanour or satisfy different fascinating standards. Drawing upon a various diversity of clinical disciplines, together with laptop technology, economics, synthetic intelligence, operations learn and video game concept, the papers accrued during this quantity symbolize a cross-section of contemporary learn and canopy themes comparable to concepts for person buying and selling brokers, the layout of markets and interplay protocols among brokers, and numerous applications.
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Additional resources for Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets: AMEC and TADA 2012, Valencia, Spain, June 4th, 2012, Revised Selected Papers
6 Conclusion The research challenges provided by competitions such as Power TAC are manyfold. Even when the problem of a free decentralized market is delimited within such a competition, the ﬁeld is certainly productive when it comes down to Robust Strategies for Continuous Trading in Contemporary Power Markets 43 designing DA strategies. To do so, one has to explore various research areas, such as Fuzzy Logic or Time Series Analysis. Based on the experiments conducted, adaptive predictive price formation policies prove eﬃcient in such open-type markets.
Chrysopoulos In any case though, the core feature of a strategy is its price formation technique, which is yet an open issue in DAs. This section discusses a taxonomy of price formation techniques, while commenting on the beneﬁts of each approach. Despite extensive research has been realized on this ﬁeld, no concrete taxonomy has been established yet, mainly due to the complexity of the techniques involved. The classiﬁcation proposed within the context of this paper is inspired by the model of Rust et al.
Each of the experiments was conducted for diﬀerent conﬁgurations of producers and consumers (discussed below) and each experiment was conducted ten times, so the mean values of the derived metrics are presented. It should also be denoted that all agents tested were assigned the same energy prediction policy. Results are quite intriguing and discussed later on. 1, the experimentation parameter is by far the most interesting, since it is crucial for the agent’s competing tactics. Other parameters may be given some determined pseudo-optimal values as their impact is not optimum for a certain value.