inference engine


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inference engine

A program that infers new facts from known facts using inference rules. Commonly found as part of a Prolog interpreter, expert system or knowledge based system.

inference engine

An inference engine makes a decision from the facts and rules contained in the knowledge base of an expert system or the algorithm derived from a deep learning AI system. The inference engine is the processing component in contrast to the fact gathering or learning side of the system. See deep learning and expert system.
References in periodicals archive ?
The state is related to the driver drowsiness level, which is a function of a reference measurement such as the observer rating of drowsiness as will be explained in Reinforcement Learning and Fuzzy Inference Engine section.
Assume i and [PSI] be any two fuzzy sets and also the input and output of the fuzzy inference engine, respectively.
In Section 3, we describe the inference engine of our three-layer model.
This system considers a knowledge base, consisting of rules and facts created from the knowledge of experts in coffee pests and diseases, an inference engine and a module for explanation.
The knowledge based system design method is based on the knowledge base and the inference engine. The expert system is composed of 8 elements: user, human expert, system design engineer, database, knowledge base, user interface, explanation mechanism and knowledge acquisition module.
As an immediate consequence of the concepts presented above, a valid concern is separating knowledge over domain, of the problem's data--the knowledge base--and the part responsible with organizing the inference processes that imply this knowledge--the control system (inference engine), these actually being the main modules of an expert system.
ProADAPT (Mengshoel 2007) processes all sensor data and then acts as a gateway to a probabilistic inference engine. The inference engine uses an arithmetic circuit evaluator that is compiled from Bayesian network models.
The components of the model are Knowledge Base, Working Memory and Inference Engine [11].
Firstly, determine the event concept within the ontology, then extend the concept further, access the relationship between the extended concept ant the original concept, and achieve consistency and correctness testing with Racer inference engine. This paper combines similarity transformation and manual collection, accesses specific examples of concepts within the ontology through tests, and ultimately constructs a relatively complete ontology library combining concepts and instances.
- To estimate the speech contents and the intent of the speaker by use of the advanced understanding capability and an inference engine
From the figure, it can be seen that a fuzzy inference system consists of four main parts: (1) fuzzification; (2) knowledge base; (3) inference engine; and (4) defuzzification.
The fuzzy logic fundamentally consists of three steps: fuzzification, rule base and inference engine, and defuzzification.