Artificial Intelligence involves the study of automated human intelligence. This includes both practically-oriented research, such as building computer applications that perform tasks requiring human intelligence, and fundamental research, such as determining how to represent knowledge in a computercomprehensible form. At the intersection of Artificial Intelligence on the one hand and law on th...

Reasoning and learning have been considered fundamental features of intelligence ever since the dawn of the field of artificial intelligence, leading to the development of the research areas of automated reasoning and machine learning. This paper discusses the relationship between automated reasoning and machine learning, and more generally between automated reasoning and artificial intelligenc...

This paper describes a novel method for building affectively intelligent human-interactive agents. The method is based on a key sociological insight that has been developed and extensively verified over the last twenty years, but has yet to make an impact in artificial intelligence. The insight is that resource bounded humans will, by default, act to maintain affective consistency. Humans have ...

Artificial intelligence is a relatively new scientific and technological field which studies the nature of intelligence by using computers to produce intelligent behaviour. Initially, the main goal was a purely scientific one, understanding human intelligence, and this remains the aim of cognitive scientists. Unfortunately, such an ambitious and fascinating goal is not only far from being achie...

in this article different types of artificial neural networks (ann) were used for cntfet (carbon nanotube transistors) simulation. cntfet is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. in determining the accurate output drain current of cntfet, time lapsed and accuracy of different simulation methods were compared. the training data for...

objectives in order to increase the classification accuracy of airs, this study introduces a new hybrid system that incorporates a support vector machine into airs for diagnosing tuberculosis. background tuberculosis (tb) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. diagnosis based on cultured specimens is the...

Artificial intelligence (AI) is the machine-based approach for processing various communications and data in computers defining their actions future performances. Different types of machine learning are described medical sciences proceedings education, research, clinical trials treatment diseases after appropriate diagnosis. These require less time efforts professionals bring a more efficient w...