کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392318 664763 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Generation of human computational models with machine learning
ترجمه فارسی عنوان
تولید مدل های کامپیوتری انسانی با یادگیری ماشین
کلمات کلیدی
آزمایشات محیطی هوشمند، مدل سازی رفتار انسان، فراگیری ماشین، شبیه سازی اجتماعی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Services in smart environments pursue to increase the quality of people’s lives. The most important issues when developing this kind of environments is testing and validating such services. These tasks usually imply high costs and annoying or unfeasible real-world testing. In such cases, artificial societies may be used to simulate the smart environment (i.e. physical environment, equipment and humans). With this aim, the CHROMUBE methodology guides test engineers when modeling human beings. Such models reproduce behaviors which are highly similar to the real ones. Originally, these models are based on automata whose transitions are governed by random variables. Automaton’s structure and the probability distribution functions of each random variable are determined by a manual test and error process. In this paper, it is presented an alternative extension of this methodology which avoids the said manual process. It is based on learning human behavior patterns automatically from sensor data by using machine learning techniques. The presented approach has been tested on a real scenario, where this extension has given highly accurate human behavior models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 293, 1 February 2015, Pages 97–114
نویسندگان
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