Applications of Artificial Life and Digital Organisms in the Study of Genetic Evolution
نویسنده
چکیده
Testing evolutionary hypothesis in experimental setting is expensive, time consuming, and unlikely to recapitulate evolutionary history if evolution is repeated. Computer simulations of virtual organisms, also known as artificial life or digital organisms (DOs) can be used for in silico study of evolutionary processes. This mini-review focuses on the use of DOs in the study of genetic evolution. The three main areas focused in this review are (1) emergence of specialized cells, (2) chemical and environmental resistance, and (3) genetic adaptability. This review concludes with a discussion on the limitations on using DOs as a tool for studying genetic evolution.
منابع مشابه
A Novel Image Encryption Model Based on Hybridization of Genetic Algorithm, Chaos Theory and Lattice Map
Encryption is an important issue in information security which is usually provided using a reversible mathematical model. Digital image as a most frequently used digital product needs special encryption algorithms. This paper presents a new encryption algorithm high security for digital gray images using genetic algorithm and Lattice Map function. At the first the initial value of Logistic Map ...
متن کاملArtificial intelligence & genetics
Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. AI has application...
متن کاملThe Predictability Power of Neural Network and Genetic Algorithm from Fiems’ Financial crisis
Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...
متن کاملHuman Virome
Viruses are dominant entities in the biosphere and parasitize all cellular life forms. The relative abundances of different classes of viruses are dramatically different between prokaryotes and eukaryotes. In marine, soil and animal-associated environments, virus particles consistently outnumber cells by one to two orders of magnitude. It is estimated that 10 quintillion (1030) viral particles ...
متن کاملOptimization of micro hardness of nanostructure Cu-Cr-Zr alloys prepared by the mechanical alloying using artificial neural networks and genetic algorithm
Cu–Cr-Zr alloys had wide applications in engineering applications such as electrical and welding industrial especially for their high strength, high electrical as well as acceptable thermal conductivities and melting points. It was possible to prepare the nano-structure of these age hardenable alloys using mechanical alloying method as a cheap and mass production technique to prepare the non-eq...
متن کاملذخیره 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 2014