Isaac is a rule-based visual language for mobile robots using evidential reasoning and a fuzzy inference engine. A prototype inference engine for Isaac has been implemented, permitting experiments with the Isaac language. This paper discusses this inference engine, describes some preliminary experiences with programming Isaac rulesets, and proposes future optimizations and enhancements to the i...

The inference engine is one of main components of expert system that influences the performance of expert system. The task of inference engine is to give answers and reasons to users by inference the knowledge of expert system. Since the idea of ternary grid issued in 2004, there is only several developed method, technique or engine working on ternary grid knowledge model. The in 2010 developed...

A software architecture that interfaces a concurrent logic programming system to a Prolog database machine is described. The concurrent logic programming system connects a guarded clause inference engine with a definite clause inference engine to support concurrent execution of mutually invoking guarded and definite clause programs. An interface to a Prolog database machine allows the concurren...

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

Tim Menzies Dept. of Software Development, Monash University, Australia [email protected]; http://www.sd.monash.edu.au/ timm Abstract|We are used to viewing veri cation and validation as tasks to be performed after a knowledge-base is built. In this standard view, the inference engine is built rst, the knowledge base is then lled out, then nally a test engine is added to verify or va...

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

We are developing a computer application, called the Bayes Inference Engine, to provide the means to make inferences about models of physical reality within a Bayesian framework. The construction of complex nonlinear models is achieved by a fully object-oriented design. The models are represented by a data-flow diagram that may be manipulated by the analyst through a graphicalprogramming enviro...

If you need to enable deep learning on low-cost embedded SoCs, should you port an existing deep learning framework or should you build one from scratch? In this paper, we seek to answer this question by sharing our practical experience of building an embedded inference engine using the ARM Compute Library (ACL). The results show that, contradictory to conventional wisdom, for simple models, it ...

This paper describes an implementation of a fuzzy inference engine that is part of a Hybrid Fuzzy Logic Intrusion Detection System. A data-mining algorithm is used offline to capture features of interest in network traffic and produce fuzzy-logic rules. Using an inference engine, the intrusion detection system evaluates these rules and gives network administrators indications of the firing stre...