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CAV
2010
Springer
243views Hardware» more  CAV 2010»
14 years 1 months ago
libalf: The Automata Learning Framework
d Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3 , Daniel Neider2 , and David R. Piegdon2 1 LSV, ENS Cachan, CNRS, 2 RWTH Aachen University, 3 ...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
IJCAI
1997
13 years 11 months ago
Learning Short-Term Weights for GSAT
We investigate an improvement to GSAT which associates a weight with each clause. We change the objective function so that GSAT moves to assignments maximizing the weight of satis...
Jeremy Frank
AHSWN
2010
177views more  AHSWN 2010»
13 years 10 months ago
Dynamic Point Coverage Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach
One way to prolong the lifetime of a wireless sensor network is to schedule the active times of sensor nodes, so that a node is active only when it is really needed. In the dynami...
Mehdi Esnaashari, Mohammad Reza Meybodi
TSMC
2008
146views more  TSMC 2008»
13 years 9 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
14 years 3 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...