Darwinian Individuals

نویسندگان

  • Peter Godfrey-Smith
  • Frédéric Bouchard
  • Philippe Huneman
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

J1.7 Machine Learning Evolution for the Source Detection of Atmospheric Releases

Iterative source detection algorithms proved to be an effective tool for the identification of the unknown sources of atmospheric emissions (e.g., Delle Monache et al., 2008). The methodology is based on sensor measurements, numerical models and unsupervised search methodologies. In order to identify a source, multiple forward dispersion simulations from different candidate sources are performe...

متن کامل

Individuality and adaptation across levels of selection: how shall we name and generalize the unit of Darwinism?

Two major clarifications have greatly abetted the understanding and fruitful expansion of the theory of natural selection in recent years: the acknowledgment that interactors, not replicators, constitute the causal unit of selection; and the recognition that interactors are Darwinian individuals, and that such individuals exist with potency at several levels of organization (genes, organisms, d...

متن کامل

The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization

LEM3 is the newest implementation of Learnable Evolution Model (LEM), a non-Darwinian evolutionary computation methodology that employs machine learning to guide evolutionary processes. Due to a deep integration of different modes of operation and the use of the advanced machine learning system AQ21, the LEM3 system is a highly efficient and effective implementation of the methodology. LEM3 sup...

متن کامل

Logic Aided Lamarckian Evolution

We propose a multi-strategy genetic algorithm for performing belief revision. The algorithm implements a new evolutionary strategy which is a combination of the theories of Darwin and Lamarck. Therefore, the algorithm not only includes the Darwinian operators of selection, mutation and crossover but also a Lamarckian operator that changes the individuals so that they perform better in solving t...

متن کامل

Optimizing complex systems by intelligent evolution: the LEMd method and case study

Most methods of evolutionary computation follow a Darwinian-type model that proceeds through random mutations or recombinations of the genetic material and natural selection of individuals carried out according to the principle of the survival of the fittest. In such a model, the creation of new individuals is not guided by any reasoning process or “external mind”, but rather by random or semi-...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012