Artificial intelligence in Animal Science

被引:1
|
作者
Xavier Costa, Ernane Jose [1 ]
机构
[1] Univ Sao Paulo, Fac Zootecnia & Engn Alimentos, BR-05508 Sao Paulo, Brazil
关键词
artificial neural network; genetic algorithm; knowledge-based system; NEURAL-NETWORK;
D O I
10.1590/S1516-35982009001300038
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Biological systems are surprising flexible in processing information in the real world. Some biological organisms have a central unit processing named brain. The human's brain, consisting of 10(11) neurons, realizes intelligent information processing based on exact and commonsense reasoning. Artificial intelligence (AI) has been trying to implement biological intelligence in computers in various ways, but is still far from real one. Therefore, there are approaches like Symbolic AI, Artificial Neural Network and Fuzzy system that partially successful in implementing heuristic from biological intelligence. Many recent applications of these approaches show an increased interest in animal science research. The main goal of this article is to explain the principles of heuristic problem-solving approach and to demonstrate how they can be applied to building knowledge-based systems for animal science problem solving.
引用
收藏
页码:390 / 396
页数:7
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