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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 15 days ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
AAAI
2011
12 years 7 months ago
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh
AAMAS
2007
Springer
14 years 1 months ago
Networks of Learning Automata and Limiting 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 that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
IWANN
2009
Springer
14 years 2 months ago
TEMMAS: The Electricity Market Multi-Agent Simulator
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...
Paulo Trigo, Paulo Marques, Helder Coelho
AAAI
1996
13 years 9 months ago
Agent Amplified Communication
We propose an agent-based framework for assisting and simplifying person-to-person communication for information gathering tasks. As an example, we focus on locating experts for a...
Henry A. Kautz, Bart Selman, Al Milewski