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GECCO
2009
Springer
14 years 3 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
AIED
2007
Springer
14 years 15 days ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
ATAL
2006
Springer
14 years 12 days ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
AAAI
2008
13 years 11 months ago
Feature Selection for Activity Recognition in Multi-Robot Domains
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
Douglas L. Vail, Manuela M. Veloso
TSE
2010
123views more  TSE 2010»
13 years 3 months ago
Directed Explicit State-Space Search in the Generation of Counterexamples for Stochastic Model Checking
Current stochastic model checkers do not make counterexamples for property violations readily available. In this paper we apply directed explicit state space search to discrete- a...
Husain Aljazzar, Stefan Leue