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» Evolution and learning in multiagent systems
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ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
14 years 1 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
14 years 5 days ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
ATAL
2008
Springer
13 years 9 months ago
Automated design of scoring rules by learning from examples
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosensc...
ATAL
2008
Springer
13 years 9 months ago
WADE: a software platform to develop mission critical applications exploiting agents and workflows
In this paper, we describe two mission critical applications currently deployed by Telecom Italia in the Operations Support System domains. The first one called "Network Neut...
Giovanni Caire, Danilo Gotta, Massimo Banzi
ICES
2003
Springer
108views Hardware» more  ICES 2003»
14 years 28 days ago
A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit
Abstract. This paper describes a new evolutionary mechanism developed specifically for cellular circuits. Called morphogenetic system, it is inspired by the mechanisms of gene exp...
Daniel Roggen, Dario Floreano, Claudio Mattiussi