The challenge of intelligent systems

1994

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Engineering Applications of Artificial Intelligence, 2023

Control system intellectualization issues are observed. The need for intellectualization of a diverse variety of systems and control approaches is supported. The hierarchy of intellectual control levels is examined, and various artificial intelligence methods are compared. Intelligence control for complex systems involves using advanced algorithms and techniques, such as artificial intelligence and machine learning, to effectively manage and manipulate complex systems. This includes creating models and simulations to understand the system's behavior, sensing and acquiring real-time data, preprocessing and analyzing the data, making decisions based on the analyzed data and system models, adapting control strategies in real-time, facilitating human-machine interaction, monitoring performance, and optimizing control strategies. The goal is to improve efficiency, safety, reliability, and overall performance of complex systems in various domains.

Proceedings of the 2001 PerMIS, NIST Special Publication 982, September 2001., 2002

Is the measurement of performance for intelligent systems different than that of non-intelligent systems? In this white paper, we explore the various dimensions of evaluation of intelligence and performance. The main areas we tackle are the testing of intelligent systems, performance evaluation in the non-numerical domain, and the mathematical and computational premises of evaluations.

The Industrial Electronics Handbook – Intelligent Systems, 2011

The text presented here served as an introduction to the book “Intelligent Systems” - the first part of the five-volume series entitled The Industrial Electronics Handbook. Numerous intelligent systems, described and discussed in the subsequent chapters of the book, are based on different approaches to machine intelligence problems. The authors of these chapters show the necessity of using various methods for building intelligent systems. Almost every particular problem needs an individual solution; thus, we can study many different intelligent systems reported in the literature. This chapter is a kind of introduction to particular systems and different approaches presented in the book. The role of this chapter is to provide the reader with a bird's eye view of the area of intelligent systems. Before we explain what intelligent systems are and why it is worth to study and use them, it is necessary to comment on one problem connected with the terminology. The problems of equipping artificial systems with intelligent abilities are, in fact, unique. We always want to achieve a general goal, which is a better operation of the intelligent system than one, which can be accomplished by a system without intelligent components. There are many ways to accomplish this goal and, therefore, we have many kinds of artificial intelligent (AI) systems. In general, it should be stressed that there are two distinctive groups of researches working in these areas: the AI community and the computational intelligence community. he goal of both groups is the same: the need for artificial systems powered by intelligence. However, different methods are employed to achieve this goal by different communities.

2008

For the engineering of systems it is necessary to test systems during validation with regard to the given requirements specifications. This paper argues for an interdisciplinary standard which should allow the qualification of the behavior of a system to be ’intelligent’ or not. The proposed standard is characterized as an open process allowing different kinds of ’intelligence profiles’. An intelligence profile is a collection of basic intelligence units of which each unit represents an operational test case with a given task and an expected outcome (final goal state.)

Intelligent Systems, Control and Automation: Science and Engineering, the new name for the series formerly known as Microprocessor-Based and Intelligent Systems Engineering Bookseries, has published around thirty books on developments in this interesting field that borders on so many disciplines and has so many practical applications: human-like biomechanics, humanoid robotics, intelligent control of robotic systems, robot interaction with different kinds of environments, automation, computer and control engineering, but also neural networks, fuzzy logic, genetic algorithms, nonlinear dynamics and control, and of course theoretical mechanics. This wide range of topics, approaches, perspectives and applications is reflected in a large readership of researchers and practioners in various fields, as well as graduate students who want to learn more on a given subject.

International Journal of Computing and Digital Systems, 2018

The conference provided a forum for discussion among professionals from industries, academia and research institutions with the conference theme "Solutions for a Smarter Economy". The conference offered an excellent opportunity for scientists, innovators, and engineers to interact, share experiences and present their latest research with peers in a multidisciplinary engineering background. This conference also included tutorials and workshops as well as an industrial exhibition. The conference had eight different tracks that covers important aspects related to electrical and electronics engineering. Each paper reviewed by three members of the technical program review committee, and the accepted papers were presented during the conference, only six papers have been accepted as extended versions in this special issue.