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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 2 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
VMCAI
2010
Springer
15 years 7 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
JAIR
2006
157views more  JAIR 2006»
14 years 9 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
TACAS
2010
Springer
255views Algorithms» more  TACAS 2010»
14 years 7 months ago
Satisfiability Modulo the Theory of Costs: Foundations and Applications
Abstract. We extend the setting of Satisfiability Modulo Theories (SMT) by introducing a theory of costs C, where it is possible to model and reason about resource consumption and ...
Alessandro Cimatti, Anders Franzén, Alberto...
RULEML
2010
Springer
14 years 8 months ago
Visualizing Logical Dependencies in SWRL Rule Bases
Rule bases are common in many business rule applications, clinical decision support programs, and other types of intelligent systems. As the size of the rule bases grows and the in...
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das