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ATAL
2009
Springer
14 years 6 months ago
A sensor middleware and agent-based communication platform for supply-chain management
We present a supply-chain management system that supports transportation of cargo containers and monitors the quality of control during transport. Our system primarily focuses on ...
Klaas Thoelen, Sam Michiels, Wouter Joosen, Koen V...
ATAL
2009
Springer
14 years 6 months ago
First principles planning in BDI systems
BDI (Belief, Desire, Intention) agent systems are very powerful, but they lack the ability to incorporate planning. There has been some previous work to incorporate planning withi...
Lavindra de Silva, Sebastian Sardiña, Lin P...
ATAL
2009
Springer
14 years 6 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
ATAL
2009
Springer
14 years 6 months ago
Smart cheaters do prosper: defeating trust and reputation systems
Traders in electronic marketplaces may behave dishonestly, cheating other agents. A multitude of trust and reputation systems have been proposed to try to cope with the problem of...
Reid Kerr, Robin Cohen
ATAL
2009
Springer
14 years 6 months ago
A service-oriented approach for integrating multiagent system designs
Walamitien H. Oyenan, Scott A. DeLoach, Gurdip Sin...
ATAL
2009
Springer
14 years 6 months ago
Inconsistency tolerance in weighted argument systems
We introduce and investigate a natural extension of Dung’s well-known model of argument systems in which attacks are associated with a weight, indicating the relative strength o...
Paul E. Dunne, Anthony Hunter, Peter McBurney, Sim...
ATAL
2009
Springer
14 years 6 months ago
The effects of cooperative agent behavior on human cooperativeness
Arlette van Wissen, Jurriaan van Diggelen, Virgini...
ATAL
2009
Springer
14 years 6 months ago
Transfer via soft homomorphisms
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
Jonathan Sorg, Satinder Singh