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» Using Learning in a Control Agent
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SEKE
2007
Springer
14 years 1 months ago
Adjudicator: A Statistical Approach for Learning Ontology Concepts from Peer Agents
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
Behrouz Homayoun Far, Abdel Halim Elamy, Nora Houa...
ATAL
2009
Springer
14 years 2 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
ICRA
2006
IEEE
132views Robotics» more  ICRA 2006»
14 years 1 months ago
Vision-based Control Laws for Distributed Flocking of Nonholonomic Agents
— We study the problem of vision-based flocking and coordination of a group of kinematic agents in 2 and 3 dimensions. It is shown that in the absence of communication among age...
Nima Moshtagh, Ali Jadbabaie, Kostas Daniilidis
IAT
2008
IEEE
14 years 2 months ago
An Agent Modeling Language Implementing Protocols through Capabilities
In this paper we present how to use the Agent MOdeling LAnguage (AMOLA) to define agent interaction protocols and how to integrate these in an agent model. AMOLA provides the synt...
Nikolaos I. Spanoudakis, Pavlos Moraitis
TSMC
2002
136views more  TSMC 2002»
13 years 7 months ago
Expertness based cooperative Q-learning
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
Majid Nili Ahmadabadi, Masoud Asadpour