Agents and Artificial Intelligence: 6th International - download pdf or read online

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

ISBN-10: 3319252097

ISBN-13: 9783319252094

ISBN-10: 3319252100

ISBN-13: 9783319252100

This e-book constitutes the completely refereed post-conference complaints 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 conscientiously reviewed and chosen from 225 submissions. The papers are prepared in topical sections on brokers and on synthetic 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

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Most of this work has studied the simple foraging task where the targets to be collected are not distinguished, so the team goal of the robots does not have ordering constraints. Another feature that distinguishes our setup from most related work on foraging tasks is that we use an office-like environment instead of the more usual open area with obstacles. Targets are randomly dispersed in the rooms of the environment, and the robots initially do not know which room has what kinds of targets. Our interest is to evaluate the contribution that explicit communication between robots can Performance of Communicating Cognitive Agents 15 make on the time to complete foraging tasks, and to identify the role of communication in coordinating the more complicated foraging task in which the team goal has ordering constraints.

We also consider the factor of robots’ environmental size, and we use maps of 12 rooms and 24 rooms. In our experiments, the robots are required to retrieve 10 blocks from their environments where there are total 30 blocks that are randomly distributed for each simulation, but there are two different tasks. Recall that the first task does not have ordering constraints on the team goal and the robots retrieve block of the same color, which is relatively simple and similar to the tasks that many researchers have addressed in the robot foraging domain.

Constructing Shared Mental Models. By communicating beliefs with one another, robots can be informed about what other robots have observed in the environment and where they are. ” in Goal agent programming language. In this work, the robots exchange the following messages in respect of beliefs with associated meaning listed: – :block(BlockID, ColorID, RoomID) means block BlockID of color ColorID is in room RoomID, – :holding(BlockID) means the message sender robot is holding block BlockID, – :in(RoomID) means the message sender robot is in room RoomID, and – :at( DropZone ) means the message sender robot is at the drop-zone.

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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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