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ATAL
2009
Springer
14 years 4 months ago
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
L. Julian Schvartzman, Michael P. Wellman
IUI
2003
ACM
14 years 3 months ago
Evolution of user interaction: the case of agent adele
Animated pedagogical agents offer promise as a means of making computer-aided learning more engaging and effective. To achieve this, an agent must be able to interact with the lea...
W. Lewis Johnson, Erin Shaw, Andrew Marshall, Cath...
CSCLP
2008
Springer
13 years 12 months ago
From Rules to Constraint Programs with the Rules2CP Modelling Language
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
François Fages, Julien Martin
SIGIR
2011
ACM
13 years 27 days ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 4 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon