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» Learning Models of Macrobehavior in Complex Adaptive Systems
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FLAIRS
2003
14 years 11 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
ECAI
2000
Springer
15 years 2 months ago
Autonomous Environment and Task Adaptation for Robotic Agents
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
Michael Beetz, Thorsten Belker
TSMC
1998
126views more  TSMC 1998»
14 years 9 months ago
Decentralized adaptive fuzzy control of robot manipulators
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...
Yaochu Jin
ATAL
2010
Springer
14 years 11 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
COMPLEXITY
2010
173views more  COMPLEXITY 2010»
14 years 4 months ago
Signal-regulated systems and networks
The paper presents the use of signal regulatory networks, a biologically-inspired model based on gene regulatory networks. Signal regulatory networks are a way of understanding a ...
Terence L. van Zyl, Elizabeth Marie Ehlers