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SLP
1989
105views more  SLP 1989»
13 years 9 months ago
Automatic Ordering of Subgoals - A Machine Learning Approach
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
Shaul Markovitch, Paul D. Scott
CORR
2008
Springer
85views Education» more  CORR 2008»
13 years 8 months ago
Ranking and Unranking of Hereditarily Finite Functions and Permutations
Prolog's ability to return multiple answers on backtracking provides an elegant mechanism to derive reversible encodings of combinatorial objects as Natural Numbers i.e. ranki...
Paul Tarau
AAI
2006
89views more  AAI 2006»
13 years 8 months ago
Compliance verification of agent interaction: a logic-based software tool
In open societies of agents, where agents are autonomous and heterogeneous, it is not realistic to assume that agents will always act so as to comply to interaction protocols. Thu...
Marco Alberti, Marco Gavanelli, Evelina Lamma, Fed...
ENTCS
2008
91views more  ENTCS 2008»
13 years 8 months ago
Towards Concrete Syntax Patterns for Logic-based Transformation Rules
Logic meta-programming in Prolog is a powerful way to express program analysis and transformation. However, its use can be difficult and error-prone because it requires programmer...
Malte Appeltauer, Günter Kniesel
CORR
2002
Springer
102views Education» more  CORR 2002»
13 years 7 months ago
Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classificatio
The Inductive Logic Programming community has considered proof-complexity and model-complexity, but, until recently, size-complexity has received little attention. Recently a chal...
Peter D. Turney