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» A Multi-Robot Cooperative Task Achievement System
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ECML
2004
Springer
14 years 25 days 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
13 years 12 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...
IPPS
2008
IEEE
14 years 1 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»
14 years 1 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»
13 years 5 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,...