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» Applying causal inference to understand emergent behavior
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CIG
2006
IEEE
13 years 11 months ago
Capturing The Information Conveyed By Opponents' Betting Behavior in Poker
— This paper develops an approach to the capture and measurement of the information contained in opponents’ bet actions in seven card stud poker. We develop a causal model link...
Eric Saund
ATC
2008
Springer
13 years 7 months ago
Measuring and Analyzing Emerging Properties for Autonomic Collaboration Service Adaptation
Dynamic collaboration environments in which team member utilize different pervasive collaboration services for their collaborative work pose many challenges for service adaptation....
Christoph Dorn, Hong Linh Truong, Schahram Dustdar
AIPS
2000
13 years 6 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 2 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 5 months ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...