منابع مشابه
Genetic Algorithms and Artificial Life
Genetic algorithms are computational models of evolution that play a central role in many arti cial life models We review the history and current scope of research on genetic algorithms in arti cial life using illustrative examples in which the genetic algorithm is used to study how learning and evolution interact and to model ecosystems immune system cognitive systems and social systems We als...
متن کاملGenetic Algorithms and Artiicial Life
Genetic algorithms are computational models of evolution that play a central role in many arti cial-life models. We review the history and current scope of research on genetic algorithms in arti cial life, using illustrative examples in which the genetic algorithm is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems....
متن کاملGenetic Algorithms: Artificial Selection vs Natural Selection
Genetic Algorithms (GAs) are a stochastic searching and optimizing method inspired by the biological mechanism of natural selection and evolution. To improve the searching power of GAs for complicated problems, many deterministic measures, particularly, experience and/or expert knowledge-based heuristic rules, have been studied in the existing literature. This paper proposes a potentially more ...
متن کاملArtificial Life 3 Artificial Life
Artificial Life is the study of all phenomena of the living world through their reproduction in artificial systems. We argue that Artificial Life models of evolution and development offer a new set of theoretical and methodological tools for investigating Piaget's ideas. The concept of an Artificial Life Neural Network (ALNN) is first introduced, and contrasted with the study of other recent ap...
متن کاملShape reconstruction by genetic algorithms and artificial neural networks
This paper presents a new surface reconstruction method based on complex form functions, genetic algorithms and neural networks. Surfaces can be reconstructed in an analytical representation format. This representation is optimal in the sense of least-square fitting by predefined subsets of data points. The surface representations are achieved by evolution via repetitive application of crossove...
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ژورنال
عنوان ژورنال: Artificial Life
سال: 1994
ISSN: 1064-5462,1530-9185
DOI: 10.1162/artl.1994.1.3.267