By Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe
This publication constitutes the completely refereed post-conference court cases of the sixth foreign convention on brokers and synthetic Intelligence, ICAART 2014, held in Angers, France, in March 2014.
The 21 revised complete papers provided 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.
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Extra resources for Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers
Robot use the shared beliefs to coordinate their activities for subtask allocation (see item 3 and 4) and destination selection (see item 1 and 2) as follows: 1. A robot will not visit a room for exploration purposes anymore if it has already been explored by a team member; 2. A robot will not adopt a goal to go to a room (or the drop-zone) that is currently occupied by another robot; 3. A robot will not adopt a goal to hold a block if another robot is already holding that block (which may occur when another robot beats the ﬁrst robot to it); 4.
Market Area 2 Results Market Coupling Capacity All Bids Results Market Area 1 Results Forward Market Results Investment Planner All Bids Day-ahead Market Renewable Profiles Sell Bid Grid Operator Ask Bid Investment Decision Transmission Capacity Demand Bidder Demand Profiles Supply Bidder Power Plants Legend: Market Sell Bid Bid Database Agent Other Bidders Information Flow Fig. 1. Simpliﬁed structure of the PowerACE model. e. on generation companies which have to decide on the short-term operation of their existing power plants and on the investment in new ones.
Another issue arises when a choice combines (1b) and (3b), which will make robots cluster together as they more or less start from the same location, and then they always try to visit the nearest rooms. A cluster of robots will cause ineﬃciency and interference, so we can further eliminate those choices combining (1b) and (3b). As a result, for the second task, we have 10 setups as shown in Table 1 and, for example, we use MR (iii) in Sect. 6 to indicate the strategy combining (1a,2b,3a,4a). When the robots perform the ﬁrst task, as all the required blocks have the same color, the fourth dimension does not make sense because any holding block can contribute to the team goal until the task is ﬁnished.