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Assumption based reasoning
| Глоссарий по искусственному интеллекту |
Asumption based reasoning is a logic-based extension of dempster-shafer theory, a symbolic evidence theory. it is designed to solve problems consisting of uncertain, incomplete, or inconsistent information. it begins with a set of propositional symbols, some of which are assumptions. when given a hypothesis, it will attempt to find arguments or explanations for the hypothesis. the arguments that are sufficient to explain a hypothesis are the quasi-support for the hypothesis, while those that do not contradict a hypothesis comprise the support for the hypothesis. those that contradict the hypothesis are the doubts. arguments for which the hypothesis is possible are called plausibilities. assumption based reasoning then means determining the sets of supports and doubts. note that this reasoning is done qualitatively. an assumption based system (abs) can also reason quantitatively when probabilities are assigned to the assumptions. in this case, the degrees of support, degrees of doubt, and degrees of plausibility can be computed as in the dempster-shafer theory. a language, abel, has been developed to perform these computations. see also: dempster-shafer theory, http://www2-iiuf.unifr.ch/tcs/abel/reasoning/.
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Incomplete, английский
A неполный application incongruence n псхл. неконгруэнтность
Inconsistent, английский
Противоречивый; несовместимый; несогласованный
Information, английский
- Knowledge of a particular event or situation, or knowledge communicated or received concerning a particular fact.
- Информация
- Facts about something have you any information about the treatment of sunburn? the police won’t give us any information about how the accident happened. you haven’t given me enough information about when your symptoms started. that’s a very useful piece or bit of information. (note: no plural: some information; a piece of information.)
- N информация | attr. информационный flow, structure source of ~ источник информации 1 ранее использовался в более широком значении как ‘умозаключе- ние’. 2 получение выводных данных в процессе обработки информации и/или языка и само выводное знание, умозаключение; мыслительная операция, в ходе которой человек выходит за пределы данных в тек- сте сведений и получает новую информацию. 3 аффикс, вставляемый внутрь корня слова при словообразовании или словоизменении.
- In admiralty courts, implies a clause introduced into a citation, intimating that in the event of a party cited not appearing, the court will proceed in his absence.
- Информация; данные; сведения
- Координационный комитет ин4юрмации о проектируемых и возводимых объектах строительства
- Literally that which forms within, but more adequately
- Data that has been recorded, classified, organized, related or interpreted so that meaning is apparent.
- Contextualised data providing answer to a certain question decreasing uncertainty.
- Информация, сведения
Propositional, английский
- A лог., лнгв. пропозициональный attitude, calculus, logic, meaning, model, structure propria a специфические (части )
- Пропозициональный
Hypothesis, английский
- A suggested explanation for an observation or experimental result, which is then refined or disproved by further investigation
- Гипотеза
- N гипотеза critical period ~ гипотеза критического периода linguistic relativity ~ гипотеза лингвистиче- ской относительности (син. sapir–whorf ~) localist ~ локалистская гипотеза3 nostratic ~ ностратическая гипотеза sapir–whorf ~ гипотеза сепира–уорфа (син. linguistic relativity ~) single segment ~ гипотеза единого сегмента
- Гипотеза. положение, которое предположительно отражает истину или которое используется как основа для аргументации того, что еще не доказано.
- Гипотеза; предположение; допущение hypothesis-driven управляемый гипотезами
- Гипотеза, предположение
- An assertion, proposition or statement about relations or constraints whose truth-value is as of yet unknown .but in principle determinable by tests involving generally empirical but also logical evidence. hypotheses are generally derived from theories or models and when these theories have some validity of their own, they consititute predictions. l&qh
Sufficient, английский
Достаточный
Contradict, английский
Противоречить
Plausibilities, английский
See: assumption based reasoning.
Assumption, английский
- Becoming responsible for the liabilities of another party.
- Allows a buyer to assume responsibility for an existing loan instead of getting a new loan.
- Предположение
- Предположение; допущение
- Предположение, допущение
- Baseline data that apply throughout a business or to a financial model.
- Допущение
- A homebuyer’s agreement to take on the primary responsibility for paying an existing mortgage from a home seller.
Determining, английский
Определение о ~ reactions
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Wearable computer systems, английский
As the term implies, these are computer systems that are designed to be worn or easily carried about. a wearable system allows the user to circumvent the usual limitations of a workstation, server-based expert system, or intelligent agent. they are currently under active development and have been employed primarily in vertical applications, such as aircraft maintenance or stock analysis. the systems can range from the simple palm computer, such as the palm pilot, with specialized databases and decision programs (e.g., options analysis) to systems that are worn on a "hip pack" and have head mounted monitors, as well as specialized input devices (e.g., a "twiddler"). the newer systems can include wireless modems to allow continuous access to the internet and other specialized information sources, such as stock market feeds or patient databases.
Autoclass, английский
Autoclass is machine learning program that performs unsupervised classification (clustering) of multivariate data. it uses a bayesian model to determine the number of clusters automatically and can handle mixtures of discrete and continuous data and missing values. it classifies the data probabilistically, so that an observation be classified into multiple classes. see also: clustering, http://ic-http://www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
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