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AAAI
2010
15 years 7 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian
CLEIEJ
2004
94views more  CLEIEJ 2004»
15 years 6 months ago
An ontology-based technique for the specification of domain and user models in multi-agent domain
Because of its facilities for the generalization and specialization of concepts and the unambiguous terminology they provide, ontologies are being used for the representation of re...
Rosario Girardi, Carla Gomes de Faria
ATAL
2009
Springer
16 years 1 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
WINE
2005
Springer
146views Economy» more  WINE 2005»
16 years 2 days ago
A Cost Mechanism for Fair Pricing of Resource Usage
We propose a simple and intuitive cost mechanism which assigns costs for the competitive usage of m resources by n selfish agents. Each agent has an individual demand; demands are...
Marios Mavronicolas, Panagiota N. Panagopoulou, Pa...
HT
2009
ACM
15 years 9 months ago
Four measures for the dynamics of coalitions in social networks
We introduce four measures for the change of coalitions in social networks. The first one measures the change of the agents in the network over time, The second one measures the ...
Guido Boella, Leendert van der Torre, Serena Villa...