Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …

This study aims to develop an expert system implementation of P controller and fuzzy logic
controller to address issues related to improper control input estimation, which can arise …

Several non-monotonic formalisms exist in the field of Artificial Intelligence for reasoning
under uncertainty. Many of these are deductive and knowledge-driven, and also employ …

This study explores the incorporation of time-varying sign gain into a parallel iterative
learning control (ILC) architecture, augmented by an expert system, to enhance the …

The continual evolution of employment opportunities in the present industrial era has raised
the need for career-long expert advice. Similar to other fields, thankfully technology has …

Technology is currently a crucial benchmark in any application area. In general, society is
immersed in the era of digitalization; therefore, incorporating digital technology in different …

Researchers developing artificially intelligent conversational agents (aka, chatbots) seek
effective ways to provide personal assistance to users with various needs. We have …

Limited work exists for the comparison across distinct knowledge-based approaches in
Artificial Intelligence (AI) for non-monotonic reasoning, and in particular for the examination …

The purpose of this work is to create an expert system tailored to rectify inaccuracies in
control input estimation that are frequently caused by improper gain values or rule-based …

The rapid advancement of artificial intelligence, machine learning, human robot interaction,
and safe learning and optimization has led to significant leaps in component-and behavior …