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» Using Genetic Programming for Turing Machine Induction
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KR
1998
Springer
15 years 1 months ago
What Robots Can Do
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot,...
Hector J. Levesque
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 10 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
CHARME
2003
Springer
100views Hardware» more  CHARME 2003»
15 years 2 months ago
Inductive Assertions and Operational Semantics
This paper shows how classic inductive assertions can be used in conjunction with an operational semantics to prove partial correctness properties of programs. The method imposes o...
J. Strother Moore
IJNSEC
2007
119views more  IJNSEC 2007»
14 years 9 months ago
Evolutionary Design of Intrusion Detection Programs
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromis...
Ajith Abraham, Crina Grosan, Carlos Martín-...
MLG
2007
Springer
15 years 3 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
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, Jose Santos