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AIPS
2000
13 years 10 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
IVA
2005
Springer
14 years 2 months ago
Social Causality and Responsibility: Modeling and Evaluation
Causality is a central issue in many AI applications. Social causality, in contrast to physical causality, seeks to attribute cause and responsibility to social events, and account...
Wenji Mao, Jonathan Gratch
NIPS
2008
13 years 10 months ago
Syntactic Topic Models
We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
Jordan L. Boyd-Graber, David M. Blei
ACL
1992
13 years 10 months ago
Modeling Negotiation Subdialogues
This paper presents a plan-based model that handles negotiation subdialogues by inferring both the communicative actions that people pursue when speaking and the beliefs underlyin...
Lynn Lambert, Sandra Carberry
DISCEX
2003
IEEE
14 years 2 months ago
Modeling Multistep Cyber Attacks for Scenario Recognition
Efforts toward automated detection and identification of multistep cyber attack scenarios would benefit significantly from a methodology and language for modeling such scenario...
Steven Cheung, Ulf Lindqvist, Martin W. Fong