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AAAI
2008
13 years 10 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
CL
2000
Springer
13 years 12 months ago
Proving Failure in Functional Logic Programs
How to extract negative information from programs is an important issue in logic programming. Here we address the problem for functional logic programs, from a proof-theoretic pers...
Francisco Javier López-Fraguas, Jaime S&aac...
KRDB
2003
184views Database» more  KRDB 2003»
13 years 9 months ago
Some Practical Issues in Building a Hybrid Deductive Geographic Information System with a DL Component
We report about some preliminary issues from the DFG project “Description Logics and Spatial Reasoning” (“DLS”, DFG Grant NE 279/8-1), one of whose goals is to develop a p...
Michael Wessel
ICTL
1994
13 years 11 months ago
Abduction in Temporal Reasoning
Commonsense knowledge often omits the temporal incidence of facts, and even the ordering between occurrences is only available for some of their instances. Reasoning about the temp...
Cristina Ribeiro, António Porto
CSFW
2003
IEEE
14 years 25 days ago
Anonymity and Information Hiding in Multiagent Systems
We provide a framework for reasoning about information-hiding requirements in multiagent systems and for reasoning about anonymity in particular. Our framework employs the modal l...
Joseph Y. Halpern, Kevin R. O'Neill