Artificial intelligence algorithms inspired by life sciences

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, model 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.