Solving the Ramification Problem: Causal Propagation in an Argumentation-Theoretic Approach

Authors:
Quoc Bao Vo;Norman Y. Foo
Affiliations:
-;-
Venue:
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Year:
2002

Citing 7
Cited 2

Ramification and causality

Artificial Intelligence
An abstract, argumentation-theoretic approach to default reasoning

Artificial Intelligence
Resoning about action in polynomial time

Artificial Intelligence
Solving the Qualification Problem

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A causal theory of ramifications and qualifications

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Embracing causality in specifying the indirect effects of actions

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Causal theories of action and change

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Semantics for a theory of defeasible reasoning

Annals of Mathematics and Artificial Intelligence
Reasoning about action: an argumentation-theoretic approach

Journal of Artificial Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we further develop a framework for reasoning about action. We show how the proposed formalism copes with complex action domains in the presence of indirect effects. Furthermore, we also introduce an alternative representation of dynamic systems that enables the proposed formalism to deal with sophisticated problems. We consider this to be the intermediate level between common-sense knowledge and scientific knowledge.