Sciweavers

159 search results - page 7 / 32
» Learning Complementary Multiagent Behaviors: A Case Study
Sort
View
89
Voted
AOIS
2004
14 years 11 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
SIGDOC
2009
ACM
15 years 2 months ago
User's issues in crossmedia applications
Technology allows users to interact with a wide variety of information and services. However, more and more users need to integrate complementary content to previously accessed in...
João Soares de Oliveira Neto, Nicolas Rouss...
STACS
1999
Springer
15 years 1 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
TSMC
2002
105views more  TSMC 2002»
14 years 9 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
CORR
2010
Springer
140views Education» more  CORR 2010»
14 years 6 months ago
Soft Control on Collective Behavior of a Group of Autonomous Agents by a Shill Agent
This paper asks a new question: how can we control the collective behavior of self-organized multi-agent systems? We try to answer the question by proposing a new notion called `So...
Jing Han, Ming Li, Lei Guo