This paper presents a new perspective of Artificial Intelligence (AI). Although, number of attempts has been made to make an artifact intelligent, including evolution theory, neural network etc and a number of problems have been solved using these concepts but each of this theory covers only some aspect of human intelligence. Still there is a large gap between artificial intelligence agent and ...

In order to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. More specifically, the natural intelligence and artificial intelligence should be closely interacted in Intelligence Science study, instead of separate from each other. In order to reach the paradigm, brain science, cognitive science, artificial intelligence and others should...

Artificial intelligence is the academic discipline concerning itself with the automation of tasks that require intelligence, often by building computer programs. Since artificial intelligence is a complex, broad, and abstract field, it is hard to give a precise description. At the moment, artificial intelligence is already applied in many common devices and computer programs, such as traffic li...

Gray et al. (2014) examined the productivity of expert systems/artificial intelligence research in accounting and came to the conclusion that both research on and practice use of expert systems/artificial intelligence had waned since the late 1990s. In our study, we reconsider these findings based on a broader view that is ‘artificial intelligence’ centric versus ‘expert systems’ centric. The r...

Machine Learning is an important area of Artificial Intelligence which is generally applicable to almost any field of science. Early exposure of students to the potential of machine learning could have a positive impact on their attitude towards Artificial Intelligence in particular and computer science in general. In this paper, we present a semester long machine learning project that was inco...

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...