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Valuation-based System
{{Notability, date=August 2022 Valuation-based system (VBS) is a framework for knowledge representation and inference. Real-world problems are modeled in this framework by a network of interrelated entities, called variables. The relationships between variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are combination and marginalization. Combination corresponds to the aggregation of knowledge, while marginalization refers to the focusing (coarsening) of it. VBSs were introduced by Prakash P. Shenoy in 1989 as general frameworks for managing uncertainty in expert system In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if ...s. Applications VBS are used for knowledge representation in expe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Knowledge Representation
Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of ''reasoning'', such as the application of rules or the relations of sets and subsets. Examples of knowledge representation formalisms include semantic nets, systems architecture, frames, rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers. History The earliest work in computerized knowledge represe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Shenoy
Shenoy is a surname from coastal Karnataka and Goa in India. It is found among Hindus of the Goud Saraswat Brahmin community following Smartha Sampradaya of Kavale Matha or Madhva Sampradaya of either Gokarna Matha or Kashi Matha. Some Brahmin Christian families of South Canara have reverted to their pre-conversion surnames like Shenoy. Etymology There are two theories about the origin of Shenoy or Shenvi. # The Sanskrit word ''Shrenipati'', meaning the leader of the guild, which got converted as ''Shennivayi'' in ''Apabhraṃśa'', and later as ''Shenai'' or ''Shenvi'' in old Konkani. # It is from the Sanskrit word for 96, ṣaṇṇavati (षण्णवति). The significance of the word 96 among Konkanis is that 96 villages formed the core region of Goa. It is said that 96 clans / families of Saraswat Brahmins arrived in Gomantak and settled in one village each. 66 villages were in Sashti region (66 in Sanskrit is ṣaṭ ṣaṣṭi - षट् षष्टि. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Expert System
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging abilities. History Early development Soon after the dawn of modern computers in the late 1940s and early 1950s, researchers started realizing the immense potential these machines had for modern society. One of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
