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IJAR
2008
92views more  IJAR 2008»
13 years 7 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
CORR
2011
Springer
190views Education» more  CORR 2011»
12 years 11 months ago
Compiling Causal Theories to Successor State Axioms and STRIPS-Like Systems
We describe a system for specifying the effects of actions. Unlike those commonly used in AI planning, our system uses an action description language that allows one to specify t...
Fangzhen Lin
NMR
2004
Springer
14 years 1 months ago
Frame consistency: computing with causal explanations
This paper presents a computational model for reasoning with causal explanations of observations within the framework of Abductive Event Calculus (AEC). The model is based on abdu...
Andrea Bracciali, Antonis C. Kakas
ECAI
2010
Springer
13 years 8 months ago
Linear Logic for Non-Linear Storytelling
Whilst narrative representations have played a prominent role in AI research, there has been a renewed interest in the topic with the development of interactive narratives. A typic...
Anne-Gwenn Bosser, Marc Cavazza, Ronan Champagnat
LPNMR
2004
Springer
14 years 1 months ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
Chitta Baral, Michael Gelfond, J. Nelson Rushton