DocumentCode
3564621
Title
Artificial Intelligence for Ethology: Neural Networks in the Prediction of Human Behavior
Author
Koutsomanis, Demetrios
Author_Institution
Lab. de Biosociologie Animale et Humaine, Univ. Paris V, La Sorbonne, Paris, France
fYear
2014
Firstpage
32
Lastpage
35
Abstract
Can we reliably predict human behavior using Artificial Intelligence? Can traditional methods of Ethology, such as an ethogramm, be implted to achieve this goal ? This is the aim of this study which used observational data collected from ambulatory addictology patients of a district general hospital, using traditional methodological tools of Ethology (ethograms). Observed versus predicted data after adequate training of an appropriately built neural network correlated strongly (Pearson two tailed) and did not differ significantly (t-test). We conclude that Neural Networks may, under defined methodological circumstances, reliably predict human behavior.
Keywords
artificial intelligence; behavioural sciences computing; hospitals; ambulatory addictology patients; artificial intelligence; district general hospital; ethogram; ethology; human behavior prediction; neural networks; Accuracy; Artificial intelligence; Artificial neural networks; Computational modeling; Psychology; Training; Artificial Intelligence; Human Behavior; Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN
978-1-4799-4923-6
Type
conf
DOI
10.1109/UKSim.2014.106
Filename
7046034
Link To Document