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AAMAS
2005
Springer
13 years 7 months ago
Coordinating Multiple Agents via Reinforcement Learning
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
WORDS
2003
IEEE
14 years 18 days ago
Using Co-ordinated Atomic Actions for Building Complex Web Applications: A Learning Experience
This paper discusses some of the typical characteristics of modern Web applications and analyses some of the problems the developers of such systems have to face. One of such type...
Avelino F. Zorzo, Panayiotis Periorellis, Alexande...
KI
1998
Springer
13 years 11 months ago
From Theory to Practice in Multiagent System Design: The Case of Structural Co-operation
Abstract. In Distributed Problem-solving (DPS) systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve a gl...
Sascha Ossowski, Ana García-Serrano, Jos&ea...
BIOWIRE
2007
Springer
14 years 1 months ago
Field-Based Coordination for Pervasive Computing Applications
Emerging pervasive computing technologies such as sensor networks and RFID tags can be embedded in our everyday environment to digitally store and elaborate a variety of informatio...
Marco Mamei, Franco Zambonelli