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AAAI
2008
13 years 10 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
ATAL
2008
Springer
13 years 10 months ago
Multi-agent plan diagnosis and negotiated repair
In the complex, dynamic domain of Air Traffic Control (ATC) many unexpected events can happen during the execution of a plan. Sometimes these disruptions make the plan infeasible ...
Huib Aldewereld, Pieter Buzing, Geert Jonker
DAGSTUHL
2007
13 years 9 months ago
Note on parallel universes
The parallel universes idea is an attempt to integrate several aspects of learning which share some common aspects. This is an interesting idea: if successful, insights could cross...
Niall M. Adams, David J. Hand
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 9 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
AIPS
2003
13 years 9 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...