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Rafael Peñaloza
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle unc...
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Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou and Murtadha Ahmed
In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for knowledge-based inference due to its ability to combine first-order logic inference and probabilistic reasoning. Unfortunately, current MLN solutions cannot efficiently su...
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Ming Li, Ren Zhang and Kefeng Liu
There are two challenges in the comprehensive marine hazard assessment. The influencing mechanism of marine disaster is uncertain and disaster data are sparse. Aiming at the uncertain knowledge and small sample in assessment modeling, we combine the info...
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Nirmalya Thakur and Chia Y. Han
This paper presents a multifunctional interdisciplinary framework that makes four scientific contributions towards the development of personalized ambient assisted living (AAL), with a specific focus to address the different and dynamic needs of the dive...
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Jon Roffe
Pág. Finance an - 24
In his review of my recent book, Abstract Market Theory, Johnson mistakes my investigation into the conditions and limits of probabilistic reasoning as a rejection of its sense and utility. The same misunderstanding also appears in a review by Munger pub...
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J Gerard Wolff
This article is an overview of the SP theory of intelligence, which aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition, with information compression as a unifying theme. It is c...
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Depei Bao, Zehong Yang
Pág. 620 - 627
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L. He, C.W. Chan, G.H. Huang and G.M. Zeng
Pág. 783 - 795
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Fricker, Ronald D.
Pág. 376 - 376
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Rosa Maria Sperandeo-Mineo (Author)
Pág. 1249 - 1261
New methods for high school and college Physics instruction engage students in understanding the physical world by constructing and using scientific models to describe, explain, predict and control physical phenomena. Modelling many particle systems invo...
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