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AAAI
2006
13 years 8 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 23 days ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
PPDP
2009
Springer
14 years 1 months ago
Reasoning with hypothetical judgments and open terms in hybrid
Hybrid is a system developed to specify and reason about logics, programming languages, and other formal systems expressed in rder abstract syntax (HOAS). An important goal of Hyb...
Amy P. Felty, Alberto Momigliano
ICMLA
2010
13 years 4 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
IFL
2004
Springer
14 years 23 days ago
A Virtual Machine for Functional Logic Computations
Abstract. We describe the architecture of a virtual machine for executing functional logic programming languages. A distinguishing feature of our machine is that it preserves the o...
Sergio Antoy, Michael Hanus, Jimeng Liu, Andrew P....