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ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
LISP
2007
124views more  LISP 2007»
15 years 6 months ago
A new generic scheme for functional logic programming with constraints
In this paper we propose a new generic scheme CFLP(D ), intended as a logical and semantic framework for lazy Constraint Functional Logic Programming over a parametrically given co...
Francisco Javier López-Fraguas, Mario Rodr&...
BIRTHDAY
2010
Springer
15 years 6 months ago
Programming Inductive Proofs - A New Approach Based on Contextual Types
In this paper, we present an overview to programming with proofs in the reasoning framework, Beluga. Beluga supports the specification of formal systems given by axioms and inferen...
Brigitte Pientka
ECAI
2000
Springer
15 years 11 months ago
An Embedding of ConGolog in 3APL
Several high-level programming languages for programming agents and robots have been proposed in recent years. Each of these languages has its own features and merits. It is still...
Koen V. Hindriks, Yves Lespérance, Hector J...
MICAI
2000
Springer
15 years 10 months ago
Knowledge Representation Using High-Level Non-monotonic Reasoning
We introduce the new paradigm of High-Level Non-Monotonic reasoning (HLNM). This paradigm is the consolidation of our recent results on disjunctions, sets, explicit and implicit ne...
Mauricio Osorio, Juan Carlos Nieves, Fernando Zaca...