Wolfgang Banzhaf and Lidia Yamamoto: Artificial Chemistries, MIT Press, 2015

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reaction flow artificial chemistries

Artificial chemistries have been analysed mostly under the precondition of a well-stirred reaction vessel. In other words, the localisation of molecules is ignored for simplicity. Here we drop this assumption and replace it with a spatial distribution of molecules given by a flow, i.e. molecules move according to a given vector field. This can be seen as a particular type of dynamics. It also g...

متن کامل

Artificial Chemistries-A Review

This article reviews the growing body of scientific work in artificial chemistry. First, common motivations and fundamental concepts are introduced. Second, current research activities are discussed along three application dimensions: modeling, information processing, and optimization. Finally, common phenomena among the different systems are summarized. It is argued here that artificial chemis...

متن کامل

Artificial Chemistries on GPU

An Artificial Chemistry is an abstract model of a chemistry that can be used to model real chemical and biological processes, as well as any natural or artificial phenomena involving interactions among objects and their transformations. It can also be used to perform computations inspired by chemistry, including heuristic optimization algorithms akin to evolutionary algorithms, among other usag...

متن کامل

The MIT Press Journals

One of the main limitations of scalability in body-brain evolution systems is the representation chosen for encoding creatures. This paper defines a class of representations called generative representations, which are identified by their ability to reuse elements of the genotype in the translation to the phenotype. This paper presents an example of a generative representation for the concurren...

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

ژورنال

عنوان ژورنال: Genetic Programming and Evolvable Machines

سال: 2016

ISSN: 1389-2576,1573-7632

DOI: 10.1007/s10710-016-9271-y