in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol o...

We introduce a simple generalization of G ardenfors and Makinson’s epistemic entrenchment called partial entrenchment. We show that preferential inference can be generated as the sceptical counterpart of an inference mechanism de ned directly on partial entrenchment.

It is shown that the Takagi-Sugeno-Kang (TSK) fuzzy inference mechanism is optimal with respect to a certain criterion that quantiies the controversy between the inference made, and the knowledge represented in the knowledge-base.

This paper naturalizes inductive inference by showing how scientific knowledge of real mechanisms provides large benefits to it. I show about contributes generalization, the best explanation, causal inference, and reasoning with probabilities. Generalization from some A are B all is more plausible when a mechanism connects B. Inference explanation strengthened explanations mechanistic explanato...

Two main uses of categories are classification and feature inference, and category labels have been widely shown to play a dominant role in feature inference. However, the nature of this influence remains unclear, and we evaluate two contrasting hypotheses formalized as mathematical models: the label special-mechanism hypothesis and the label super-salience hypothesis. The special-mechanism hyp...

In this paper the tool TELIOS is presented, for the automatic generation of a hardware machine, corresponding to a given logic program. The machine is implemented using an FPGA, where a corresponding inference machine, in application specific hardware, is created on the FPGA, based on a BNF parser, to carry out the inference mechanism. The unification mechanism is based on actions embedded betw...

This chapter discusses the difference between transductive inference and semi-supervised learning. It argues that transductive inference captures the intrinsic properties of the mechanism for extracting additional information from the unla-beled data. It also shows an important role of transduction for creating noninductive models of inference. Let us start with the formal problem setting for t...

This paper addresses the methodology for achieving the user interface design reusability of a qualitative software system and effort minimization by applying the inference on the stored design documents. The pictorial design documents are stored in a special format in the form of keyword text [DGML tag based design]. The design document storage mechanism will expose the keywords per design stor...