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    407 research outputs found

    On the Dynamics of an Artificial Regulatory Network.

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    On the Dynamics of an Artificial Regulatory Network

    Evolving Modular Genetic Regulatory Networks

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    Evolving Modular Genetic Regulatory Network

    Der Steppenwolf

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    Der Steppenwolf Life is to short to take it seriously. Only minor differences to the Siddhartha philosophy

    Die EvolutionÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂäre Erkenntnistheorie (Bedingungen - LÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂösungen - Kontroversen)

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    Die EvolutionÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂäre Erkenntnistheorie (Bedingungen - LÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂösungen - Kontroversen) Evolutionary epistomlogy from a very philosophic point of view..

    Neutral mutations and punctuated equilibrium in evolving genetic networks

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    Neutral mutations and punctuated equilibrium in evolving genetic networks searching for evolutionary origin of differentiation this was not what I wanted but might lateron be interesting. Strongly relates to Kauffman RB

    Does God Play Dice? The Mathematics of Chaos

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    Does God Play Dice? The Mathematics of Chaos recommended by Rene te Boekhorst, but very basic..

    Cellular automata model for gene networks

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    Cellular automata model for gene network

    Evolving neural networks through augmenting topologies

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    Evolving neural networks through augmenting topologies uses direct coding, since, cite: "Although CE [Gruau s (1993) Cellular Encoding (CE)] demonstrates that it is possible to evolve developmental systems, we chose direct encoding for NEAT because, as Braun andWeisbrod (1993) argue, indirect encoding requires more detailed knowledge of genetic and neural mechanisms. In other words, because indirect encodings do not map directly to their phenotypes, they can bias the search in unpredictable ways. To make good use of indirect encodings, we need to first understand them well enough to make sure that they do not focus the search on some suboptimal class of topologies. Further, experimental results suggest that CE is not necessarily more efficient than direct encoding methods (Section 4.3.3)." describes "historical marking" to allow for save crossover (but needs global counter) - ligning up genes with equal number; genes which are only present in one parent are either ignored (less fit) or completely used (more fit parent) "explicit fitness sharing" of similar genotypes to facilitate speciation (each on a different "peak") mutation always adds (though genes might become disabled); either synapse or neuron (split connection) pole-balancing as benchmark, despite of huge similarities to ENS^3 no reference to Pasemann results (but source code available!

    Duplication of Modules Facilitates the Evolution of Functional Specialization.

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    Duplication of Modules Facilitates the Evolution of Functional Specialization. important clue: There is less computational power, i.e., number of neurons and connections, in the non-modular than in the modular architectures (see p.5) Results support model by Hughes1994: Functional specialization facilitated when genes serving multiple functions are duplicated - after duplication genes are released from conflicting demands and each copy can specialize on one function of the ancestral gene (only one specialization factor, though) copies must not interfere too much initially for that to work, no

    Model of Self-Replicating Cell Capable of Self-Maintenance.

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    Model of Self-Replicating Cell Capable of Self-Maintenance

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