Semi-Human Instinctive Artificial Intelligence (SHIAI)
محل انتشار: دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران
سال انتشار: 1385
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,042
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شناسه ملی سند علمی:
ACCSI12_365
تاریخ نمایه سازی: 23 دی 1386
چکیده مقاله:
Providing robots (or any other intelligent embedded system) with manlike instincts will bring major issues of today artificial intelligence out of a deadlock. This paper proposes a nondeterministic decision making theory based on Semi Human Instincts implemented by learned potential fields, using neural networks and fuzzy logic offline and online learning algorithms, which enable the agent to perform in anonymous, dynamic and nondeterministic environments. SHI-AI is like a newly born baby who uses his/her instincts and will gradually become more and more intelligent as the brain learns more about its environment. The use of a new world modeling method called ARPL (Agent Relative Polar Localization) in SHI-AI enables the agent to perform better within anonymous environments where positioning is an important and complex issue.
کلیدواژه ها:
SHI-AI ، M2LAI ، Potential Fields ، Electric Fields ، ARPL ، LEFG ، IVLWM ، Fuzzy ، Learning ، Neural Networks
نویسندگان
Asadollah Norouzi
Department of Electrical, Computer & IT Engineering I. Azad University of Qazvin, Tehran, Iran
Mohammad Mohammadzadeh Ziabary
Department of Electrical, Computer & IT Engineering I. Azad University of Qazvin, Tehran, Iran