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Uncertain inference was first described by C. J. van Rijsbergen as a way to formally define a query and document relationship in Information retrieval
Uncertain_inference
algorithm for compressing high-dimensional vectors in large language model inference AlphaDev, AlphaEvolve, AlphaTensor — AI systems by Google DeepMind for
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Professor Emeritus of computer science and engineering (born 1965)
researcher in machine learning known for Markov logic network enabling uncertain inference. Domingos received an undergraduate degree and Master of Science
Pedro_Domingos
Applications of logic under uncertainty
and logic. Just as in courtroom reasoning, the goal of employing uncertain inference is to gather evidence to strengthen the confidence of a proposition
Probabilistic_logic
Method of deriving conclusions
Rules of inference are ways of deriving conclusions from premises. They are integral parts of formal logic, serving as the logical structure of valid
Rule_of_inference
Method of statistical inference
Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability
Bayesian_inference
Software able to infer logical consequences
(2008). Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference. Springer Science & Business Media. p. 42. ISBN 978-0-387-76872-4
Semantic_reasoner
Project for an open source artificial intelligence framework
A. Probabilistic Logic Networks, A Comprehensive Framework for Uncertain Inference, Springer, 2009, VIII, 336 p., Hardcover ISBN 978-0-387-76871-7 "OpenCog
OpenCog
American computer scientist and AI researcher
(2006). Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference. Plenum. Ben Goertzel (2006). The Hidden Pattern: A Patternist Philosophy
Ben_Goertzel
Inference seeking the simplest and most likely explanation
Abductive reasoning (also called abduction, abductive inference, or retroduction) is a form of logical inference that seeks the simplest and most likely conclusion
Abductive_reasoning
Greek mythological giants with 50 heads and 100 arms
among opponents of Zeus here mentioned ... But the inference is uncertain. The ease of inference is I believe responsible for the information about Poseidon
Hecatoncheires
Paradox about the perception of probability
Philosophy, 94(3), 109–125. Kyburg, H. E., and Teng, C-M. (2001). Uncertain Inference, Cambridge: Cambridge University Press. Lewis, D. (1996). "Elusive
Lottery_paradox
Finding information for an information need
relevance model on which is based the okapi (BM25) relevance function Uncertain inference Language models Divergence-from-randomness model Latent Dirichlet
Information_retrieval
Reasoning of knowledge about knowledge
possible. Strongly grounded variants of autoepistemic logic exist. In uncertain inference, the known–unknown duality of truth values is generalized to a degree
Autoepistemic_logic
Method of logical reasoning
prediction, statistical syllogism, argument from analogy, and causal inference. There are also differences in how their results are regarded. A generalization
Inductive_reasoning
Method of deduction
nonsense. 7. Inference using vague concepts. Inferences that involve reasoning near the boundaries of a vague concept are often uncertain. 8. Finding expected
Plausible_reasoning
British behavioural scientist and writer (born 1965)
developed the view that human reasoning can be understood to function as uncertain inference, wherein the normative standard for human performance is probability
Nick_Chater
Uncertainty in Artificial Intelligence to discuss how to best perform uncertain inference in artificial intelligence. Neapolitan presented an exposition on
Richard_Neapolitan
Formal fallacy in statistical interpretation
ecological inference fallacy or population fallacy) is a formal fallacy in the interpretation of statistical data that occurs when inferences about the
Ecological_fallacy
Mathematical problem related to equal partitions of measures
statistique". Biotypologie, v. 6, 1938, pp. 153–159. R. A. Fisher. "Uncertain inference". Proc. Amer. Acad. Arts Sci., vol. 77, 1936, pp. 245–257. Dubins
Problem_of_the_Nile
Statistical tool
Bayesian inference is a statistical tool that can be applied to motor learning, specifically to adaptation. Adaptation is a short-term learning process
Bayesian inference in motor learning
Bayesian_inference_in_motor_learning
"Probability, Likelihood and Quantity of Information in the Logic of Uncertain Inference". Proceedings of the Royal Society A. 146 (856): 1–8. Bibcode:1934RSPSA
Ronald_Fisher_bibliography
American mathematician (1939–2021)
February 4, 2021. Henry E. Kyburg, Jr; Choh Man Teng (6 August 2001). Uncertain Inference. Cambridge University Press. pp. 113–114. ISBN 978-0-521-00101-4
Terrence_L._Fine
Heljakka. Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference. Springer (1 edition November 11, 2008). ISBN 978-0387768717.
Knowledge_crystal
Psychological phenomenon
the latter. Jones and Harris hypothesized, based on the correspondent inference theory, that people would attribute apparently freely chosen behaviors
Fundamental_attribution_error
Ancient school of Indian materialism
philosophies. Charvaka holds direct perception, empiricism, and conditional inference as proper sources of knowledge, embraces philosophical skepticism, and
Charvaka
Rules in probabilistic logic
106–108. Wise, B.P., and M. Henrion (1986). A framework for comparing uncertain inference systems to probability. Uncertainty in Artificial Intelligence, edited
Fréchet_inequalities
Logical rule of inference
tollens (MPT; Latin: "mode that denies by affirming") is a valid rule of inference for propositional logic. It is closely related to modus ponens and modus
Modus_ponendo_tollens
variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are
Valuation-based_system
Interdisciplinary approach to scientific modelling and information processing
incomplete, limited, noisy and uncertain. Info-metrics is useful for modelling, information processing, theory building, and inference problems across the scientific
Info-metrics
Application of statistical methods to marketing processes
In marketing, Bayesian inference allows for decision making and market research evaluation under uncertainty and with limited data. The communication
Bayesian inference in marketing
Bayesian_inference_in_marketing
Determining the probability of future events based on past events
source of knowledge about the world. There are three sources of knowledge: inference, communication, and deduction. Communication relays information found
Inductive_probability
Interpretation of probability
a probability is assigned to a hypothesis, whereas under frequentist inference, a hypothesis is typically tested without being assigned a probability
Bayesian_probability
Method of statistical inference
A statistical hypothesis test is a method of statistical inference used to decide whether the data provide sufficient evidence to reject a particular
Statistical_hypothesis_test
Subset of artificial intelligence
Inductive Inference Archived 22 December 2017 at the Wayback Machine, PhD thesis, University of Edinburgh, 1970. Shapiro, Ehud Y. Inductive inference of theories
Machine_learning
Hypothesis in epistemological philosophy
known for certain. That view holds profound implications for statistical inference. The philosophy is particularly associated with Richard Jeffrey who wittily
Radical_probabilism
Halakhic principle
based on categorical inferences." These cases are also discussed in the Bavli, on b. Bava Batra 93a. In the Bavli, the Stam is uncertain whether any of these
We do not rule based on categorical inferences in monetary cases
We_do_not_rule_based_on_categorical_inferences_in_monetary_cases
Type of logical system
Pennachin, C., Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Amsterdam & Paris: Atlantis Press, 2011), pp
First-order_logic
rule or Bayesian updating Empirical Bayes method – Bayesian statistical inference method Evidence under Bayes theorem Hierarchical Bayes model – Type of
List of things named after Thomas Bayes
List_of_things_named_after_Thomas_Bayes
Probabilistic graphical model
hidden Markov models into a general probabilistic representation and inference mechanism for arbitrary nonlinear and non-normal time-dependent domains
Dynamic_Bayesian_network
State of prolonged public dispute or debate
it appears that the kind of inferences used to infer single sources for multiple sensory inputs uses a Bayesian inference about the causal origin of the
Controversy
Mathematical analysis of gambling
Statistical inference might be thought of as gambling theory applied to real-world events. The myriad applications for logarithmic information measures
Gambling and information theory
Gambling_and_information_theory
Computer system emulating human expert
subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engine, which applies the rules to the known facts to deduce new facts
Expert_system
Distribution of an uncertain quantity
simply called the prior probability, prior distribution, or prior) of an uncertain quantity is its assumed probability distribution before evidence is taken
Prior_probability
Situations involving imperfect or unknown information
the use of certainty factors, probabilistic methods such as Bayesian inference or Dempster–Shafer theory, multi-valued ('fuzzy') logic and various connectionist
Uncertainty
Epistemology, proof, reliable means of knowledge in Indian philosophies
Three of these are almost universally accepted: perception (pratyakṣa), inference (anumāna), and "word" (śabda), meaning the testimony of past or present
Pramana
most well-known conditionality principle is the principle of statistical inference that Allan Birnbaum formally defined and studied in an article in the
Conditionality_principle
Intelligence of machines
decision support, knowledge discovery (mining "interesting" and actionable inferences from large databases), and other areas. A knowledge base is a body of
Artificial_intelligence
Process of solving new problems based on the solutions of similar past problems
statistical framework and formalizes case-based inference as a specific type of probabilistic inference. Thus, it becomes possible to produce case-based
Case-based_reasoning
Statement about a future event
prediction is a part of statistical inference. One particular approach to such inference is known as predictive inference, but the prediction can be undertaken
Prediction
Overview of and topical guide to machine learning
Inductive Inference Machine, IRE Convention Record, Section on Information Theory, Part 2, pp., 56–62, 1957. Ray Solomonoff, "An Inductive Inference Machine"
Outline_of_machine_learning
typically combine knowledge of a particular application domain with an inference capability to enable the system to propose decisions or diagnoses. Accuracy
Intelligent decision support system
Intelligent_decision_support_system
Making a "prediction" about the past
a specific disorder in a particular patient: "We consider diagnostic inference to be based on causal thinking, although in doing diagnosis one has to
Retrodiction
System of logic in computer science
of each rule, with the help of an inference mechanism. If there are M rules then the fuzzy input sets to the Inference block will activate only a subset
Type-2_fuzzy_sets_and_systems
Type of software system
such as calculating a sales tax or customer discount but making logical inferences about a medical diagnosis or mathematical theorem. Reasoning systems come
Reasoning_system
Committed supporter of a political party or belief
which there are several types, including "cheerleading" and congenial inference. Motivated reasoning means that a partisan survey respondent may feel
Partisan_(politics)
Study of evolutionary relationships between organisms
characteristics of organisms (or genes), which is known as phylogenetic inference. It infers the relationship among organisms based on empirical data and
Phylogenetics
Branch of logic
the inference line, separated by a comma, which indicates combination of premises. The conclusion is written below the inference line. The inference line
Propositional_logic
Two types of knowledge, justification, or argument
philosopher John Sergeant differentiates the terms by the direction of inference regarding proper causes and effects. To demonstrate something a priori
A_priori_and_a_posteriori
Statistical theory
field from measurement data alone is impossible and only probabilistic inference remains as a means to make statements about the field. Fortunately, physical
Information_field_theory
Attempt to persuade or to determine the truth of a conclusion
which one is claimed to follow from the others through deductively valid inferences that preserve truth from the premises to the conclusion. This logical
Argument
Probabilistic problem-solving algorithm
of sequential Monte Carlo in advanced signal processing and Bayesian inference is more recent. It was in 1993, that Gordon et al., published in their
Monte_Carlo_method
Hypothetical all-predicting intellect
and those of the tiniest atom; for such an intellect nothing would be uncertain and the future just like the past could be present before its eyes. — Pierre
Laplace's_demon
Inference method used in AI expert systems
In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this
Model-based_reasoning
"normalization", where only the numerator is uncertain, Studentization has both numerator and denominator uncertain, typically (that is, under Gaussian assumptions)
Studentization
in turn contribute to inductive inferences about either population-level properties, future data, or both. Inferences can involve revising hypotheses
Intuitive_statistics
Branch of econometrics
{\displaystyle 0\leq \theta \leq 1} . Bayesian analysis concentrates on the inference of the posterior distribution π ( θ | y ) {\displaystyle \pi (\theta |y)}
Bayesian_econometrics
Ancient Indian philosophy
accepted only two reliable means to knowledge: direct observation and inference. The Vaiśeṣika school and Buddhism both consider their respective scriptures
Vaisheshika
Class of archaea related to eukaryotes
Jonathan; Nunoura, Takuro; Moore, K. R.; Ettema, Thijs J. G. (2023). "Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes". Nature
Heimdallarchaeia
Facts provided or learned about something or someone
theory has also found applications in other areas, including statistical inference, cryptography, neurobiology, perception, linguistics, the evolution and
Information
American scientist (1839–1914)
makes the number of our risks, the number of our inferences, finite, and so makes their mean result uncertain. The very idea of probability and of reasoning
Charles_Sanders_Peirce
Āstika school of Hindu philosophy
gaining knowledge, as does yoga. These are Pratyakṣa (perception), Anumāṇa (inference) and Śabda (āptavacana, meaning, 'word/testimony of reliable sources')
Samkhya
Probability distribution
model for the random behavior of percentages and proportions. In Bayesian inference, the beta distribution is the conjugate prior probability distribution
Beta_distribution
Species of fish
(2020-07-03). "Addressing incomplete lineage sorting and paralogy in the inference of uncertain salmonid phylogenetic relationships". PeerJ. 8 e9389. doi:10.7717/peerj
Sakhalin_taimen
Indian Buddhist philosopher and logician (c.480–c.540)
school. Dignāga's epistemology accepted only "perception" (pratyaksa) and "inference" (anumāṇa) as valid instruments of knowledge and introduced the widely
Dignāga
1763 mathematics essay by Thomas Bayes
"Bayesian" in the modern sense. That is, whether he was interested in Bayesian inference, or merely in probability. Proposition 9 seems "Bayesian" in its presentation
An Essay Towards Solving a Problem in the Doctrine of Chances
An_Essay_Towards_Solving_a_Problem_in_the_Doctrine_of_Chances
Methods in artificial intelligence research
handling uncertain reasoning with his publication of the book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. and Bayesian
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Theory of response to surprise events
life focuses on the 'normal,' particularly with 'bell curve' methods of inference that tell you close to nothing. Why? Because the bell curve ignores large
Black_swan_theory
Process of extracting design information from anything artificial
Engineering and Testing of Black-Box Software Components: by Grammatical Inference techniques. LAP LAMBERT Academic Publishing. ISBN 978-3-659-14073-0. Chuvakin
Reverse_engineering
Ancient state in West Asia
transmitted Assyro-Babylonian and Urartian traditions to the Persians. The inference is that Cyrus assimilated into Median traditions, given Media's previous
Median_kingdom
Genus of fishes
(2020-07-03). "Addressing incomplete lineage sorting and paralogy in the inference of uncertain salmonid phylogenetic relationships". PeerJ. 8 e9389. doi:10.7717/peerj
Stenodus
Conditional probability used in Bayesian statistics
the posterior probability contains everything there is to know about an uncertain proposition (such as a scientific hypothesis, or parameter values), given
Posterior_probability
Concept in probability theory
linear operator, but note that since different samples lead to different inferences, this is not simply dependent on time but rather on data over time. For
Conjugate_prior
computational convenience – they do not change the process of Bayesian inference, but simply allow one to more easily describe and compute with the prior
Hyperprior
List of largest planets by size
MIT. Retrieved 2 January 2014. Demory, Brice-Olivier; et al. (2013). "Inference of Inhomogeneous Clouds in an Exoplanet Atmosphere". The Astrophysical
List_of_largest_exoplanets
Philosophical idea that only one's own mind is sure to exist
outside one’s own mind, including the external world and other minds, is uncertain and cannot be conclusively known. There are varying degrees of solipsism
Solipsism
1814 essay by Pierre-Simon Laplace on probability theory and its applications
best-known introductions to Laplace's approach to probability and statistical inference, and it is frequently cited in later discussions of the classical probability
A Philosophical Essay on Probabilities
A_Philosophical_Essay_on_Probabilities
Consort of Edward the Elder
large part. Further near-contemporary evidence comes only indirectly by inference from later kinsmen whose precise connectedness is impossible to specify
Ecgwynn
Optimization method
by random "noise" leads naturally to algorithms that use statistical inference tools to estimate the "true" values of the function and/or make statistically
Stochastic_optimization
Statistics concept
proposed what he called "the robot," which was not a physical device, but an inference engine to automate probabilistic reasoning—a kind of Prolog for probability
Bayesian_programming
Last member of Yahi People
at the museum bear striking resemblance to those made by Ishi. "Some Inferences For Hunter-Gatherer Style and Ethnicity". Arf.berkeley.edu. Archived from
Ishi
Expert system for bacterial infections
Intelligence Programming (PAIP). MYCIN operated using a fairly simple inference engine and a knowledge base of ~600 rules by obtaining individual inferential
Mycin
Spatial perceptual illusion
slowly. The Bayesian model reaches an optimal probabilistic inference by combining uncertain spatial and temporal sensory information with a prior expectation
Tau_effect
Optimality criterion in phylogeny
similarities. It is often stated that parsimony is not relevant to phylogenetic inference because "evolution is not parsimonious."[citation needed] In most cases
Maximum_parsimony
Airstrikes and capture of Nicolás Maduro
pattern in recent Venezuelan election". Statistical Modeling, Causal Inference, and Social Science. Archived from the original on 7 December 2025. Retrieved
2026 United States intervention in Venezuela
2026_United_States_intervention_in_Venezuela
Concept of philosophy and logic used to express modal claims
worlds as "ways things could have been" and relies for its premises and inferences on assumptions from natural language, for example: The Black Death could
Possible_world
Species of duck
"Evolution and connectivity in the world-wide migration system of the mallard: Inferences from mitochondrial DNA". BMC Genetics. 12 (99): 99. doi:10.1186/1471-2156-12-99
Mallard
Genealogy of the sons of Noah in Genesis
inhabited by Jerah's descendants "Ibn Qamar" ("the son of Moon") – an inference to the word "Jerah" (Heb. ירח) which means "moon," and where he says are
Generations_of_Noah
Medical condition
cross-sectional and observational design that does not allow for causal inference. Ongoing studies suggest that mild hyperbilirubinemia in GS may have beneficial
Gilbert's_syndrome
Pair of individuals, peoples, or lands in the Bible and the Quran
vaguely as "wild tribes" or "desert nomads", but one researcher made the inference Rubruck must have meant Jews, and that he was speaking in the context
Gog_and_Magog
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
Surname or Lastname
English and Irish of uncertain origin
English and Irish of uncertain origin : of uncertain origin: perhaps from a Norman nickname for a stubborn person, from Old French tirel, used of an animal which pulls on the reins, a derivative of tirer ‘to pull’.English and Irish of uncertain origin : Woulfe suggests that it may be from the personal name Thurold, Old Norse Thorvaldr, composed of the elements þórr, name of the Norse god of thunder (see Thor) + valdr ‘rule’.
Surname or Lastname
English (Kent) of uncertain derivation
English (Kent) of uncertain derivation : of uncertain derivation: it could be a topographic name for someone living in an area planted with bushes, French bussière, or a habitational name from any of various minor places in Essex, perhaps named with this word.English (Kent) of uncertain derivation : alternatively it may be a nickname for a heavy drinker, from an agent derivative of Middle English bouse(n) ‘to drink’, ‘to booze’ (from Middle Dutch bÅ«sen) or Middle English bous, boos ‘intoxicating drink’ (from Middle Dutch bÅ«se).English (Kent) of uncertain derivation : lastly, it could be an occupational name for a stockman, from a derivative of Middle English bos(e), buse ‘stall for livestock’, ‘cowstall’, ‘manger’ (from Old English bÅs).
Female
Egyptian
, an uncertain goddess.
Surname or Lastname
English of uncertain origin.
English of uncertain origin. : of uncertain origin. Perhaps a topographic name for someone who lived near a fig tree, or a metonymic occupational name for someone who sold figs, from Old French figue (Latin ficus).English of uncertain origin. : Reaney has it as a variant of Fitch.English of uncertain origin. : It may also be from an unidentified personal name.
Female
Egyptian
, an uncertain Egyptian goddess.
Male
Egyptian
, an uncertain deity.
Female
Egyptian
, an uncertain Egyptian goddess.
Female
Egyptian
, an uncertain goddess.
Biblical
[uncertain derivation]; olive tree
Surname or Lastname
French
French : nickname from certain ‘certain’, ‘resolute’, a derivative of Old French certise ‘certitude’.English : variant spelling of Sartain, cognate with 1.
Female
Egyptian
, an uncertain goddess.
Surname or Lastname
English of uncertain origin; possibly
English of uncertain origin; possibly : of uncertain origin; possibly: habitational name from an unidentified place named with Old English hwīt ‘white’ + ēg ‘island’ or (ge)hæg ‘enclosure’.English of uncertain origin; possibly : nickname for someone with unusually pale eyes, from Middle English whit ‘white’ + eye ‘eye’.
Surname or Lastname
English of uncertain origin.
English of uncertain origin. : of uncertain origin. Reaney and Wilson cite 13th- and 14th-century examples such as Richard Averil, which they associate with the name of the month (see April; the Old French word Avrill was taken into Middle English as Averil before being altered under Latin influence to April).English of uncertain origin. : As a North American surname, it may be a habitational name from Haverhill in Suffolk, which is probably named from Old English hafri ‘oats’ + hyll ‘hill’. The traditional English pronunciation of this place name was Have-rill. Compare Avery.English of uncertain origin. : William Averill (c.1590–1635) brought his family from Worcestershire, England, to VA in 1635.
Surname or Lastname
English of much discussed but uncertain origin.
English of much discussed but uncertain origin. : of much discussed but uncertain origin. It may be from a medieval personal name, but if so the form is unclear.English of much discussed but uncertain origin. : Alternatively, it may be a nickname for a quarrelsome or deceitful person, from Middle English bar(r)et(t)e, bar(r)at ‘trouble’, ‘strife’, ‘deception’, ‘cheating’ (Old French barat ‘commerce’, ‘dealings’, a derivative of barater ‘to haggle’). It is possible that the original sense of barat survived unrecorded into Middle English as a word for a market trader; the Italian cognate Baratta has this sense. It could also be a nickname or metonymic occupational name from Old French barette ‘cap’, ‘bonnet’.
Female
Egyptian
, an uncertain goddess.
Surname or Lastname
English (Suffolk) of uncertain derivation;
English (Suffolk) of uncertain derivation; : of uncertain derivation; perhaps from a reduced form of the personal name Dominicus (see Dominick).English (Suffolk) of uncertain derivation; : alternatively, as Reaney proposes, it may be from the Breton personal name Menguy, a compound of men ‘stone’ + ki ‘dog’.
Female
Egyptian
, an uncertain goddess.
Female
Egyptian
, an uncertain goddess.
Male
Egyptian
, an uncertain Egyptian officer.
Male
Egyptian
, an uncertain deity.
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
Boy/Male
Tamil
Yuyutsu | யà¯à®¯à¯à®¤à¯à®¸à¯
Eager to fight, One of the kauravas he survived the war
Girl/Female
Tamil
Prayer, Request, Humility
Boy/Male
Muslim
Tender hearted
Boy/Male
Indian, Tamil
Youngest
Boy/Male
Muslim
Lion
Girl/Female
Muslim/Islamic
Happy for entire life
Girl/Female
Tamil
A lotus plant
Girl/Female
Tamil
Complete, Universal
Boy/Male
Hindu, Indian, Sanskrit
The Abode of Lakshmi
Girl/Female
Tamil
The person having the highest feelings for living
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
UNCERTAIN INFERENCE
v. t.
To render (a person) certain; to cause to feel certain; to make confident; to assure; to apprise.
a.
Not certain; not having certain knowledge; not assured in mind; distrustful.
a.
Irresolute; inconsonant; variable; untrustworthy; as, an uncertain person; an uncertain breeze.
n.
Uncertain; doubtful; unsteady.
v. t.
To give reception to; to receive, in general; to receive and take into consideration; to admit, treat, or make use of; as, to entertain a proposal.
a.
Not sure; liable to fall or err; fallible.
adv.
In an uncertain manner.
v. t.
To keep, hold, or maintain in the mind with favor; to keep in the mind; to harbor; to cherish; as, to entertain sentiments.
v. t.
To curtain.
v. t.
To make (a thing) certain to the mind; to free from obscurity, doubt, or change; to make sure of; to fix; to determine.
n.
That which is uncertain; something unknown.
n.
A certain number or quantity.
v. t.
To remove a curtain from; to reveal.
a.
Not specifically named; indeterminate; indefinite; one or some; -- sometimes used independenty as a noun, and meaning certain persons.
n.
Entertainment.
a.
To make uncertain.
a.
Questionable; equivocal; indefinite; problematical.
v. t.
To find out or learn for a certainty, by trial, examination, or experiment; to get to know; as, to ascertain the weight of a commodity, or the purity of a metal.
n.
The quality or state of being uncertain.
v. t.
To engage the attention of agreeably; to amuse with that which makes the time pass pleasantly; to divert; as, to entertain friends with conversation, etc.