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Agents and Artificial Intelligence: 6th International by Béatrice Duval, Jaap van den Herik, Stephane Loiseau,

By Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe

This publication constitutes the completely refereed post-conference lawsuits of the sixth foreign convention on brokers and synthetic Intelligence, ICAART 2014, held in Angers, France, in March 2014.
The 21 revised complete papers offered including one invited paper have been rigorously reviewed and chosen from 225 submissions. The papers are geared up in topical sections on brokers and on synthetic intelligence.

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Extra info for Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers

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Not(goals)”. (goals)”. 16: end if 17: execute actions. 18: end while though they do not have any shared database or centralised manager, they could fully know each other as what they can know in a centralised team. Therefore, such a shared mental model can enable the robots to have more sophisticated coordination protocols. Subtask Allocation and Destination Selection Strategies. By just communicating belief messages, there is quite a bit of potential to avoid interference since a robot will inform its teammates when entering a room.

These literature reviews contain a comparison of the different existing models including the model presented in this paper. Generally, having an integrated agent and market perspective, as well as a high degree of flexibility, agent-based simulation models can be used for detailed analyses of electricity markets and interactions therein. Potential applications include market power analysis or market design studies while considering the feed-in from renewable energy sources and integrated markets with respect to products, time and region.

Wind or biomass, are regarded. Since pumped-storage units can produce or consume electricity, they submit either buy or sell bids. The same applies to the electricity exchange with market areas which are not explicitly modelled. After receiving the bids the DayAheadMarketAuctioneer determines a uniform price for each hour of the next day considering all submitted supply and demand bids. SupplyBidders are faced with an economic optimization problem, where the offered volume and price of their power plants needs to be determined and which is solved in several steps.

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