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» Knowledge Representation with Logic Programs
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WCRE
2009
IEEE
14 years 3 months ago
The Logical Modularity of Programs
Abstract—The principles and best practices of object oriented design require that modules in a program should match logical decomposition of the knowledge that the program implem...
Daniel Ratiu, Radu Marinescu, Jan Jürjens
LPNMR
2004
Springer
14 years 2 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
AAAI
1996
13 years 10 months ago
Formalizing Narratives Using Nested Circumscription
The representation of narratives of actions and observations is a current issue in Knowledge Representation, where traditional plan-oriented treatments of action seem to fall shor...
Chitta Baral, Alfredo Gabaldon, Alessandro Provett...
CIA
2006
Springer
14 years 13 days ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek
JFLP
2002
81views more  JFLP 2002»
13 years 8 months ago
A Practical Partial Evaluation Scheme for Multi-Paradigm Declarative Languages
We present a practical partial evaluation scheme for multi-paradigm declarative languages combining features from functional, logic, and concurrent programming. In contrast to pre...
Elvira Albert, Michael Hanus, Germán Vidal