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» Learning the required number of agents for complex tasks
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ATAL
2003
Springer
14 years 1 months ago
Self-Organisation: Paradigms and Applications
Abstract. A self-organising system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collec...
Giovanna Di Marzo Serugendo, Noria Foukia, Salima ...
SOFSEM
2010
Springer
14 years 4 months ago
Lessons in Software Evolution Learned by Listening to Smalltalk
The biggest challenge facing software developers today is how to gracefully evolve complex software systems in the face of changing requirements. We clearly need software systems t...
Oscar Nierstrasz, Tudor Gîrba
AAAI
1998
13 years 9 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch
CONTEXT
1999
Springer
14 years 5 days ago
The Pragmatic Roots of Context
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
Bruce Edmonds
IAT
2006
IEEE
14 years 1 months ago
Semantic Labeling of Data by Using the Web
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...