Aiming to create a cognitive system with human-level intelligence is as different from normal scientific objectives as reaching artificial immortality is to the goals of modern medicine. Most researchers in artificial intelligence, along with the institutions that support them, advocate that AI research should conform to normal scientific standards and methods. I argue that these are often inci...

As the artificial intelligence (AI) systems in military simulations and computer games become more complex, their actions become increasingly difficult for users to understand. Expert systems for medical diagnosis have addressed this challenge though the addition of explanation generation systems that explain a system’s internal processes. This paper describes the AI architecture and associated...

This work describes the effort to employ remote monitoring and artificial intelligence techniques to develop the proactive network management. The first was developed in the Laboratory of Network and Management (UFSC) which uses remote monitoring. The second was developed in the National Supercomputing Center, handles the problem with artificial intelligence and SunNet Manager’s agents usage. T...

What wiU be the impact of expert systems on archaeological science over the next décade-? This question is not as easy to answer as might at first appear. The development both of artificial intelligence and expert systems and also of the use of mathematical and computer methods in archaeological science has been far from smooth. There is no reason to believe that the ftiture will be more straig...

It can be difficult to design and develop artificial intelligence systems to meet specific quality standards. Often, AI systems are designed to be “as good as possible” rather than meeting particular targets. Using the Design for Six Sigma quality methodology, an automated insurance underwriting expert system was designed, developed, and fielded. Using this methodology resulted in meeting the h...

The application of pattern recognition techniques, expert systems, artificial neural networks, fuzzy systems and nowadays hybrid artificial intelligence techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The paper outlines the most important steps of this process. Agent-based systems are highlighted as promising tools for managing complexit...

This work explored the potentials of information technology to develop a Medical Diagnostic Expert System (AUTOMEDES), which can be used, by qualified medical personnel or even unqualified medical personnel in the absence of qualified ones, without endangering human life. The researchers adopted the Structured System Analysis and Design Method (SSADM) and the Expert System Methodology to develo...

The ultimate goal of artificial intelligence (AI) research is to create a system with human level intelligence. Many researchers conceded that human-like interaction in a social context to be critical for human-like intelligence to emerge. Artificial life (AL) is a branch of AI to simulate the process of evolution and interaction in natural world using multi-agent systems. This suggests that AL...

The possibility of developing a machine that would “think” has intrigued human beings since ancient times. Artificial intelligence (AI) systems comprise two major areas, expert systems (ES) and artificial neural networks (ANNs). The major objective of this paper is to illustrate how artificial intelligence techniques might play an important role in modelling and prediction of the performance of...