By Markus Hannebauer, Jan Wendler, Enrico Pagello
This publication provides a subselection of papers provided on the ECAI 2000 Workshop on Balancing Reactivity and Social Deliberation in Multi-Agent platforms including extra papers from famous researchers within the box.
The thirteen revised complete papers have been rigorously reviewed and chosen for inclusion within the current booklet. along with introductory survey papers, the publication deals topical sections on architectures and frameworks, more suitable reactivity, and regulated social deliberation.
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Additional info for Balancing Reactivity and Social Deliberation in Multi-Agent Systems: From RoboCup to Real-World Applications
An example of map focus data and the explicit communication. Let us consider the j-th robot which keeps a model of all n robots, say r1 , r2 . . , rn ; let s1 , s2 , . . , sn be the set of actions4 that each robot may execute. Each tree is build as follows: – the root of the tree is a dummy node – the i-th level of the tree is assigned to ri – each node at the level k represents one of the possible choices of the robot rk related to the choices made by r1 , . . , rk−1 . Every action is given a weight So each path from the root of the tree to a leaf is a complete specification of actions performed by each robot.
Coordinated deployment of multiple, heterogeneous robots. In Proc. of International Conference on Intelligent Robots and Systems (IROS’2000), 2000. 46. P. Stone. Layered Learning in Multiagent Systems. MIT Press, 2000. 47. C. F. Touzet. Robot awareness in cooperative mobile robot learning. Autonomous Robots, 2, 2000. 48. M. Veloso, S. Lenser, E. Winner, and J. Bruce. Cm-trio-99. In RoboCup-99: Robot Soccer World Cup III, 1999. 49. M. Veloso and P. Stone. Individual and collaborative behaviors in a team of homogeneous robotic soccer agents.
A distributed architecture has the advantage that, in case of communication failures, the system degrades its performance, but it still keeps on the execution of the task. Finally, in the Sony Legged league three Sony AIBOs robots are used to form a team. Therefore the robots are the same in hardware and heterogeneity can be only given by different software control. e. GoalKeeper, Defender and Forward). Other teams (for example [29,48]) have developed a different software only for the goalkeeper, while the other two robots are the same.