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Intelligent reasoning on natural lan...
~
Kilic, Ozkan.
Intelligent reasoning on natural language data: A non-axiomatic reasoning system approach.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
書名/作者:
Intelligent reasoning on natural language data: A non-axiomatic reasoning system approach.
作者:
Kilic, Ozkan.
面頁冊數:
83 p.
附註:
Source: Masters Abstracts International, Volume: 54-04.
Contained By:
Masters Abstracts International54-04(E).
標題:
Computer science.
標題:
Artificial intelligence.
標題:
Linguistics.
ISBN:
9781321745955
摘要、提要註:
Research on Artificial General Intelligence has re-gained attention since the 2000s with a range of feedback from other disciplines, such as neurology, cognitive science, linguistics, psychology, philosophy, and such. NARS, a non-axiomatic reasoning system, is a general-purpose intelligent system able to work with insufficient knowledge and resources, and to adapt to its environment by learning from experience. It treats intelligence as a domain-independent capability with no domain-specific sub-module. Since the human mind evolved under the same restriction, this normative model displays many human-like properties.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1588626
Intelligent reasoning on natural language data: A non-axiomatic reasoning system approach.
Kilic, Ozkan.
Intelligent reasoning on natural language data: A non-axiomatic reasoning system approach.
- 83 p.
Source: Masters Abstracts International, Volume: 54-04.
Thesis (M.S.)--Temple University, 2015.
Research on Artificial General Intelligence has re-gained attention since the 2000s with a range of feedback from other disciplines, such as neurology, cognitive science, linguistics, psychology, philosophy, and such. NARS, a non-axiomatic reasoning system, is a general-purpose intelligent system able to work with insufficient knowledge and resources, and to adapt to its environment by learning from experience. It treats intelligence as a domain-independent capability with no domain-specific sub-module. Since the human mind evolved under the same restriction, this normative model displays many human-like properties.
ISBN: 9781321745955Subjects--Topical Terms:
182962
Computer science.
Intelligent reasoning on natural language data: A non-axiomatic reasoning system approach.
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83 p.
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Source: Masters Abstracts International, Volume: 54-04.
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Adviser: Pei Wang.
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Research on Artificial General Intelligence has re-gained attention since the 2000s with a range of feedback from other disciplines, such as neurology, cognitive science, linguistics, psychology, philosophy, and such. NARS, a non-axiomatic reasoning system, is a general-purpose intelligent system able to work with insufficient knowledge and resources, and to adapt to its environment by learning from experience. It treats intelligence as a domain-independent capability with no domain-specific sub-module. Since the human mind evolved under the same restriction, this normative model displays many human-like properties.
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NARS is used to reinterpret several well-known results in cognitive science, such as Wason's selection task, the Linda problem, and U-shaped learning, which cannot be explained by traditional normative models, but can now be handled by NARS in a unified way. This study specifically investigates the reasoning capabilities of NARS, a non-axiomatic reasoning system, on natural language data. NARS is used to mimic U-shaped learning of passive voice in English, subjective pronoun resolution, and contextual dependency of concepts. For this purpose, logical form from WordNet is translated to NARS. Furthermore, a convolutional neural network, which is available online and trained with images from ImageNet, is used to recognize possible noun categories of a given image.
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The results have shown that a general-purpose system can simulate human-level behavior on language data without a built-in linguistic module.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1588626
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