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. . .Inference, on the other hand, is the activity performed by a reader or interpreter in drawing conclusions that are not explicit in what is said.’’ The confusion of ‘‘infer’’ with ‘‘imply’’ can be explained by a move by Grice which included the audience into the explanation of implicature.
Additionally, such inference is shown to improve the critical step of unsupervised learning of entailment rules, which in turn enhances the scope of the inference system.
The dependent types which can be constructed in this way are useful for describing parameterised regular structures which commonly appear in VLSI circuits.
Open accessJournal ArticleDOI
Xiaoying Tian, Jonathan Taylor 
124 Citations
This allows selective inference in nonparametric settings.
A deductive inference is the one in which the conclusion must be true, if the premises are.
In view of its simplicity and ease of understanding and implementation, the generalized inference procedure is to be preferred.
Path-based inference is another kind of subconscious inference that justifies belief in a proposition when a reduction is already believed and the extra wires are inferred from path-based inference rules and paths in the network.
This contrasts markedly with most other propositional nonmonotonic logics, in which inference is intractable.
Yet performing inference in these languages is extremely costly, especially if it is done at the propositional level.
Proceedings ArticleDOI
26 May 1991
56 Citations
The VLSI implementation of a fuzzy logic inference mechanism allows the use of rule-based control and decision making in demanding real-time applications.
Proceedings ArticleDOI
Swapna Singh, Ragini Karwayun 
12 Apr 2010
33 Citations
It will enable to differentiate among different types of inference engines which may be beneficial to realize the various proposed prototype systems with different ideas and views on what an inference engine for semantic web should do.
The inference engine is sufficiently simple as to avoid space-limitation and be easily implemented in almost any environment.
In this paper, deep inference is shown to be crucial for the logic BV, that is, any restriction on the ``depth'' of the inference rules of BV would result in a strictly less expressive logical system.
We define a new inference rule in decision formal contexts and prove that the proposed inference rule is stronger than the existing one.
Proceedings ArticleDOI
Masaki Togai, Hiroyuki Watanabe 
01 Dec 1986
102 Citations
The logical structure of fuzzy inference proposed in the current paper maps nicely onto the VLSI structure.
It is shown that it is a generalization of the concept of inference in binary logic.
Open accessBookDOI
Graham Birtwistle, P. A. Subrahmanyam 
10 Nov 2013
72 Citations
vlsi specification verification and synthesis really offers what everybody wants.
This observation makes complexity control a conditio sine qua non for VLSI design.

Related Questions

What is inference in the study of motor control?4 answersIn the study of motor control, inference refers to the process of making predictions and generating behavior based on sensory information and internal models. Active inference, a computational neuroscience perspective, is a theory that formalizes the generation of flexible, goal-directed behavior through the minimization of free energy. It involves processing sensorimotor information, inferring behavior-relevant aspects of the world, and invoking highly flexible, goal-directed behavior. Active inference models can develop latent states known as affordance maps, which signal which actions lead to which effects depending on the local context. In addition to intentional imperatives, active inference also incorporates conflict-resolution imperatives, which aim to resolve multisensory conflicts and align movements with external goals. The active inference framework provides a unifying view of motor control, integrating probabilistic methods, internal models, and optimal control theory.
What is Inference?4 answersInference is the process of deriving information that is not explicitly stated in a text or data, but can be deduced based on the reader's knowledge and understanding. It involves making conclusions or predictions based on evidence and reasoning. Inference can be seen in various fields such as statistical physics, discourse understanding, curriculum development, and statistical investigations. In statistical inference, information is derived from observed values and used to make inferences about probability distributions. In everyday language processing, readers make inferences by activating their available knowledge. Inference devices use processing circuitry to generate integrated information by combining different domains of information. In summary, inference is a fundamental cognitive process that allows individuals to go beyond the explicit information presented and draw meaningful conclusions or predictions based on their understanding and context..
What is inference?5 answersInference refers to the process of deriving information or conclusions that are not explicitly stated in the text but can be inferred based on the reader's knowledge and understanding. It involves going beyond the literal meaning of the text and making connections or drawing conclusions based on contextual cues and background knowledge. Inference can involve both the derivation of new information and the activation of existing knowledge. It is an important component of discourse understanding and plays a role in everyday language processing. Inference is different from implicature, which refers to speaker meaning that goes beyond what is explicitly said. In statistical investigations, inference is the final step where decisions or predictions are made based on data and assumptions. In cognitive processes, inference involves coming to believe something on the basis of existing beliefs, either through rational causation or mistakenly through deviant causation.
How to draw inference in reading literature?5 answersDrawing inferences in reading literature involves using prior knowledge and information from the text to make predictions and understand the deeper meaning of the text. Proficient readers use their prior knowledge and the information they have gathered from the text to make predictions about what might happen next. In a study conducted with EFL learners, it was found that learners who were able to draw inferences performed significantly better in a recall test for reading comprehension. Expert think-alouds conducted with student literary readers revealed that having domain-specific knowledge about literary conventions, such as rules of notice and rules of signification, helped in constructing interpretive inferences. Attention to language mediated the effect, suggesting that language plays a role in leveraging student engagement in literary interpretation.
How do you write a good inference?6 answers
What is inference in C?8 answers

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