Artificial Intelligence Algorithms Inspired By Life Sciences

Year 2018, Volume: 5 Issue: 3, 1233 - 1238, 01.09.2018

Hüseyin Turgut

https://doi.org/10.18596/jotcsa.471300

Abstract

Nature and life include many mysterious events, behaviors and format
within themselves. There is harmony between the environmental conditions,
behavior and forms of all living organism. Computer science, especially data
and information science, is based on the structure or behavior of living things
in the creation of many artificial intelligence algorithms by examining this
attitude of life. The rapid progress of the developing artificial intelligence
and information technology has increased the data and hidden data in our lives
many times and has tried to solve (1).

Artificial
intelligence has examined many areas or environments and has developed
approaches based on it. Expert systems, artificial neural networks, genetic
algorithms, inductive learning, explanation based learning, similarity based
learning, common sense information processing, database based reasoning, model
based reasoning, rational protection mechanism, distributed artificial
intelligence, natural language processing, chaos theory, logic programming are
the artificial intelligence algorithms used for these approaches (2). Among
artificial intelligence algorithms; The ant colony algorithm imitates the
behavior and direction of ants, and artificial neural networks imitates the
behavior and functions of neurons in the nervous system and genetic algorithms
imitates the theoretical form of genetic science (3, 4). Many algorithms such
as these algorithms are based on the vital form and behavior of living things. The
purpose of this review is the relations between the mentioned algorithms and
the living science are examined.

Keywords

Artificial Intelligence, Life Sciences, Ant Colony, Artificial Neural Networks, Genetic Algorithm

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