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» Measuring Complexity of Intelligent Machines
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CEC
2003
IEEE
15 years 3 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
AI
2003
Springer
15 years 3 months ago
Pattern-Based AI Scripting Using ScriptEase
Creating realistic artificially-intelligent characters is seen as one of the major challenges of the commercial games industry. Historically, character behavior has been specifie...
Matthew McNaughton, James Redford, Jonathan Schaef...
ATAL
2003
Springer
15 years 3 months ago
How to calm hyperactive agents
System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
HAIS
2009
Springer
15 years 2 months ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...
AIIA
2007
Springer
15 years 1 months ago
Advanced Tree-Based Kernels for Protein Classification
One of the aims of modern Bioinformatics is to discover the molecular mechanisms that rule the protein operation. This would allow us to understand the complex processes involved i...
Elisa Cilia, Alessandro Moschitti