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» A Multi-Robot Cooperative Task Achievement System
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86
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ECML
2004
Springer
15 years 3 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
ICVS
2001
Springer
15 years 2 months ago
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room
Abstract. In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tra...
Deepak R. Karuppiah, Zhigang Zhu, Prashant J. Shen...
94
Voted
IPPS
2008
IEEE
15 years 4 months ago
Data throttling for data-intensive workflows
— Existing workflow systems attempt to achieve high performance by intelligently scheduling tasks on resources, sometimes even attempting to move the largest data files on the hi...
Sang-Min Park, Marty Humphrey
HICSS
2007
IEEE
181views Biometrics» more  HICSS 2007»
15 years 4 months ago
A Methodology to Evaluate Agent Oriented Software Engineering Techniques
Systems using Software Agents (or Multi-Agent Systems, MAS) are becoming more popular within the development mainstream because, as the name suggests, an Agent aims to handle task...
Chia-En Lin, Krishna M. Kavi, Frederick T. Sheldon...
JOT
2010
144views more  JOT 2010»
14 years 8 months ago
A Tool for Specifying and Validating Agents' Interaction Protocols: From Agent UML to Maude
To achieve the multi-agent systems’ goals, agents interact to exchange information, to cooperate and to coordinate their tasks. Interaction is generally recognized as an importa...
Farid Mokhati, Brahim Sahraoui, Soufiane Bouzaher,...