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In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applied logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine. Inference engines work primarily in one of two modes either special rule or facts: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved.[1]
Additionally, the concept of 'inference' has expanded to include the process through which trained neural networks generate predictions or decisions. In this context, an 'inference engine' could refer to the specific part of the system, or even the hardware, that executes these operations. This type of inference plays a crucial role in various applications, including (but not limited to) image recognition, natural language processing, and autonomous vehicles. The inference phase in these applications is typically characterized by a high volume of data inputs and real-time processing requirements.
^Hayes-Roth, Frederick; Donald Waterman; Douglas Lenat (1983). Building Expert Systems. Addison-Wesley. ISBN 0-201-10686-8.
In the field of artificial intelligence, an inferenceengine is a software component of an intelligent system that applies logical rules to the knowledge...
Inferences are steps in reasoning, moving from premises to logical consequences; etymologically, the word infer means to "carry forward". Inference is...
concepts down to some appropriate level of detail, and (4) developing an inferenceengine exponentially faster than those used in then-conventional expert systems...
reasoning) is one of the two main methods of reasoning when using an inferenceengine and can be described logically as repeated application of modus ponens...
more frequently than other parts of the application code. Rules engines or inferenceengines serve as pluggable software components which execute business...
reasoning) is an inference method described colloquially as working backward from the goal. It is used in automated theorem provers, inferenceengines, proof assistants...
reasoner generalizes that of an inferenceengine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by...
Optimizer using your trained model or public one and execute inference on InferenceEngine on specified devices. OpenVINO has different sample types: classification...
programs and ontologies. Examples of automated reasoning engines include inferenceengines, theorem provers, model generators and classifiers. The earliest...
engine Business rule management system Comparison of BPEL enginesInferenceengine Java Rules Engine API Rete algorithm Ripple down rules Semantic reasoner...
energy principle is based on the Bayesian idea of the brain as an “inferenceengine.” Under the free energy principle, systems pursue paths of least surprise...
statistical modeling and probabilistic machine learning. PyMC performs inference based on advanced Markov chain Monte Carlo and/or variational fitting...
In perceptual psychology, unconscious inference (German: unbewusster Schluss), also referred to as unconscious conclusion, is a term coined in 1867 by...
Stanley N. Cohen and others. MYCIN operated using a fairly simple inferenceengine and a knowledge base of ~600 rules. It would query the physician running...
obsolete, especially with the development of the SpiderMonkey type inferenceengine. TraceMonkey is absent from SpiderMonkey from Firefox 11 onward. JägerMonkey...
language processing, textual entailment (TE), also known as natural language inference (NLI), is a directional relation between text fragments. The relation...
available data and uses inference rules to extract more data (from an end user, for example) until a goal is reached. An inferenceengine using forward chaining...
ProbCog: Markov logic networks in Python and Java that can use its own inferenceengine or Alchemy's markov thebeast: Markov logic networks in Java RockIt:...
& Business Media. p. 302. ISBN 978-3642122415. "Aesthetic Quality InferenceEngine – Instant Impersonal Assessment of Photos". Penn State University....
work in machine learning but he inspired the view of "statistical inferenceengine whose function is to infer probable causes of sensory input". the stochastic...
the TensorFlow team released a developer preview of the mobile GPU inferenceengine with OpenGL ES 3.1 Compute Shaders on Android devices and Metal Compute...
This record reflects the retractions and additions which makes the inferenceengine (IE) aware of its current belief set. Each statement having at least...
needed] Most CDSSs consist of three parts: the knowledge base, an inferenceengine, and a mechanism to communicate. The knowledge base contains the rules...
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