TY  - JOUR
T1  - Artificial Intelligence Algorithms Inspired By Life Sciences
AU  - Turgut, Hüseyin
PY  - 2018
DA  - September
Y2  - 2018
DO  - 10.18596/jotcsa.471300
JF  - Journal of the Turkish Chemical Society Section A: Chemistry
JO  - JOTCSA
PB  - Turkish Chemical Society
WT  - DergiPark
SN  - 2149-0120
SP  - 1233
EP  - 1238
VL  - 5
IS  - 3
LA  - en
AB  - Nature and life include many mysterious events, behaviors and formatwithin themselves. There is harmony between the environmental conditions,behavior and forms of all living organism. Computer science, especially dataand information science, is based on the structure or behavior of living thingsin the creation of many artificial intelligence algorithms by examining thisattitude of life. The rapid progress of the developing artificial intelligenceand information technology has increased the data and hidden data in our livesmany times and has tried to solve (1).Artificialintelligence has examined many areas or environments and has developedapproaches based on it. Expert systems, artificial neural networks, geneticalgorithms, inductive learning, explanation based learning, similarity basedlearning, common sense information processing, database based reasoning, modelbased reasoning, rational protection mechanism, distributed artificialintelligence, natural language processing, chaos theory, logic programming arethe artificial intelligence algorithms used for these approaches (2). Amongartificial intelligence algorithms; The ant colony algorithm imitates thebehavior and direction of ants, and artificial neural networks imitates thebehavior and functions of neurons in the nervous system and genetic algorithmsimitates the theoretical form of genetic science (3, 4). Many algorithms suchas these algorithms are based on the vital form and behavior of living things. Thepurpose of this review is the relations between the mentioned algorithms andthe living science are examined.
KW  - Artificial Intelligence
KW  - Life Sciences
KW  - Ant Colony
KW  - Artificial Neural Networks
KW  - Genetic Algorithm
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UR  - https://doi.org/10.18596/jotcsa.471300
L1  - https://dergipark.org.tr/en/download/article-file/559238
ER  -