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ESAW
2009
Springer
16 years 25 days ago
A Goal-Oriented Approach for Modelling Self-organising MAS
Autonomous software agents provide a promising solution to the needs of decentralised networked systems, able to adapt their behaviour in a complex and dynamically changing environ...
Mirko Morandini, Frédéric Migeon, Ma...
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 7 months ago
Neuro-evolution for a gathering and collective construction task
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
D. W. F. van Krevelen, Geoff S. Nitschke
ICGA
1993
96views Optimization» more  ICGA 1993»
15 years 7 months ago
Dynamic Control of Genetic Algorithms in a Noisy Environment
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
Akiko N. Aizawa, Benjamin W. Wah
EPIA
1999
Springer
15 years 10 months ago
Critical Agents Supporting Interactive Theorem Proving
We introduce a resource adaptive agent mechanism which supports the user of an interactive theorem proving system. The mechanism, an extension of 5 , uses a two layered architectur...
Christoph Benzmüller, Volker Sorge
AE
1997
Springer
15 years 10 months ago
Adaptation on the Evolutionary Time Scale: A Working Hypothesis and Basic Experiments
In the pertinent literature, an ongoing discussion can be found about whether evolutionary algorithms are better suited for optimization or adaptation. Unfortunately, the pertinent...
Ralf Salomon, Peter Eggenberger