Sciweavers

4817 search results - page 656 / 964
» Learning Models of Intelligent Agents
Sort
View
ATAL
2003
Springer
15 years 12 months ago
Negotiation over tasks in hybrid human-agent teams for simulation-based training
The effectiveness of simulation-based training for individual tasks – such as piloting skills – is well established, but its use for team training raises challenging technical...
David R. Traum, Jeff Rickel, Jonathan Gratch, Stac...
ICML
2007
IEEE
16 years 7 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
CONTEXT
1999
Springer
15 years 11 months ago
The Pragmatic Roots of Context
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
Bruce Edmonds
IDA
2009
Springer
16 years 1 months ago
Canonical Dual Approach to Binary Factor Analysis
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
MUE
2007
IEEE
125views Multimedia» more  MUE 2007»
16 years 27 days ago
A Grid Based Simulation Environment for Mobile Distributed Applications
Using simulation environments to support mobile distributed application development has many benefits. Since mobile devices can be modeled as autonomous intelligent agents, the mu...
Dawit Mengistu, Paul Davidsson, Lars Lundberg