By Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe
ISBN-10: 3319252097
ISBN-13: 9783319252094
ISBN-10: 3319252100
ISBN-13: 9783319252100
This booklet constitutes the completely refereed post-conference court cases of the sixth overseas convention on brokers and synthetic Intelligence, ICAART 2014, held in Angers, France, in March 2014.
The 21 revised complete papers awarded including one invited paper have been rigorously reviewed and chosen from 225 submissions. The papers are prepared in topical sections on brokers and on man made intelligence.
Read Online or Download Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers PDF
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Additional info for Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers
Sample text
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.
1 Results Baseline Performance Figures 3 and 4 show the performance of the various strategies for the baseline on the horizontal axis and the four different conditions related to team size and room numbers on the vertical axis. This results show that the relation between team size and environment size has an important effect on the team performance that also relies on which combinational coordination strategy is used. Statistically, the performance of the combinational strategies does not significantly differ from any of the others.
Apart from the size of robot teams, the authors in [12] consider the size of the environment. In our work, we also use scalable robot teams to perform foraging tasks in scalable environments in our experimental study. We consider a baseline in which the robots do not explicitly communicate with one another, but they can still apply various combinational strategies for exploration and exploitation in performing the foraging tasks. As robots may easily interfere with each other without communication, these combinational coordination strategies in particular take account of the interference in multi-robot teams, and we carry out experiments to study which combinational strategy is the best one for the baseline case.
Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers by Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe
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