IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Clonal Selection Principle for In Silico and In Vitro Computing

The Clonal Selection Principle for In Silico and In Vitro Computing
View Sample PDF
Author(s): Vincenzo Cutello (University of Catania, Italy)and Giuseppe Nicosia (University of Catania, Italy)
Copyright: 2005
Pages: 8
Source title: Recent Developments in Biologically Inspired Computing
Source Author(s)/Editor(s): Leandro Nunes de Castro (Mackenzie University, Brazil)and Fernando J. Von Zuben (State University of Campinas, Brazil)
DOI: 10.4018/978-1-59140-312-8.ch006

Purchase

View The Clonal Selection Principle for In Silico and In Vitro Computing on the publisher's website for pricing and purchasing information.

Abstract

The chapter describes the theory of clonal selection and its usage in designing and implementing immunological algorithms for problem solving and learning. In detail, it presents various immune algorithms based on the clonal selection principle, analyzing computational time complexity, experimental results, similarities and differences. It introduces two paradigms to model immune algorithms: noisy channel, and Turing’s reaction-diffusion systems to build artificial immune systems for effective information processing and computing. The authors show how Libchaber DNA algorithm can be interpreted as an “in vitro” implementation of the clonal selection principle by means of molecular biology technology. These similarities witness the ubiquity of such a kind of information processing in nature and give evidence of the universality of the concept of computation. The authors’ intent is to provide a general framework that can be considered as a first core for in silico and in vitro computation based on the clonal selection theory.

Related Content

P. Chitra, A. Saleem Raja, V. Sivakumar. © 2024. 24 pages.
K. Ezhilarasan, K. Somasundaram, T. Kalaiselvi, Praveenkumar Somasundaram, S. Karthigai Selvi, A. Jeevarekha. © 2024. 36 pages.
Kande Archana, V. Kamakshi Prasad, M. Ashok. © 2024. 17 pages.
Ritesh Kumar Jain, Kamal Kant Hiran. © 2024. 23 pages.
U. Vignesh, R. Elakya. © 2024. 13 pages.
S. Karthigai Selvi, R. Siva Shankar, K. Ezhilarasan. © 2024. 16 pages.
Vemasani Varshini, Maheswari Raja, Sharath Kumar Jagannathan. © 2024. 20 pages.
Body Bottom