Название: Knowledge Integration Methods for Probabilistic Knowledge-based SystemsАвтор: Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran
Издательство: CRC Press
Год: 2023
Страниц: 203
Язык: английский
Формат: pdf (true)
Размер: 22.5 MB
Today, Artificial Intelligence (AI) has been used in applications to solve specific problems in many fields such as knowledge-based systems (KBS), speech recognition, natural language processing (NLP), artificial vision, robots, neural networks with specific applications such as personalized shopping, AI-powered assistants, fraud prevention, administrative tasks, automated to aid educators, creating smart content, voice assistants, personalized learning, autonomous vehicles. In AI, each KBS is a computer system with the ability to think and make decision as a human expert. They are designed to deal with a large range of problems from Computer Science and engineering to social sciences such as economics, politics, and law. There are several well-known knowledge bases being developed and widely applied, namely DBPedia, Google’s Knowledge Graph, Neil, Open IE, Probase and Yago. When developing knowledge-based systems, several mathematical models such as Bayesian network models and Markov network models have been selected to represent a knowledge base. Recently, Islam et al. used applications of the fuzzy-Bayesian models to build a KBS for the cost overrun risk assessment of the power plant project. Blondet et al. also use Bayesian networks as an inference engine to build a special KBS.
Название: Лилия Для Повелителя
