Artificial Intelligence Algorithms Inspired By Life Sciences

Abstract

Nature and life include many mysterious events, behaviors and format withinthemselves. There is harmony between the environmental conditions, behavior and forms of all livingorganism. Computer science, especially data and information science, is based on the structure orbehavior of living things in the creation of many artificial intelligence algorithms by examining thisattitude of life. The rapid progress of the developing artificial intelligence and information technologyhas increased the data and hidden data in our lives many times and has tried to solve (1). Artificialintelligence has examined many areas or environments and has developed approaches based on it.Expert systems, artificial neural networks, genetic algorithms, inductive learning, explanation-basedlearning, similarity-based learning, common sense information processing, model based reasoning,model based reasoning, rational protection mechanism, distributed artificial intelligence, naturallanguage processing, chaos theory, logic programming are the artificial intelligence algorithms usedfor these approaches (2). Among artificial intelligence algorithms; The ant colony algorithm imitatesthe behavior and direction of ants, and artificial neural networks imitates the behavior and functionsof neurons in the nervous system and genetic algorithms imitates the theoretical form of geneticscience (3, 4). Many algorithms such as these algorithms are based on the vital form and behaviorof living things. The purpose of this review is the relations between the mentioned algorithms andthe living science are examined.