Although the definition and measurement of intelligence is clearly of fundamental importance to the field of artificial intelligence, no general survey of definitions and tests of machine intelligence exists. Indeed few researchers are even aware of alternatives to the Turing test and its many derivatives. In this paper we fill this gap by providing a short survey of the many tests of machine i...

Machine intelligence, more commonly known by the misnomer artifical intelligence, is now about twenty-five years old as a scientific field. In contrast with early predictions, its practical applicability has been frustratingly slow to develop. It appears, however, that we are now (finally!) on the verge of practicality in a number of specialities within machine intelligence more or less simulta...

Artificial intelligence offers superior techniques and methods by which problems from diverse domains may find an optimal solution. The Machine Learning technologies refer to the domain of artificial intelligence aiming to develop the techniques allowing the computers to"learn". Some systems based on Machine Learning technologies tend to eliminate the necessity of the human intelligence while t...

Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

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...

We present a practical and systematic strategy for measuring machine intelligence quotient (MIQ) of human–machine cooperative systems. So far, much research related to intelligent control has been established, but the issues about definition and measurement of machine intelligence are not yet clearly formulated. We propose the Intelligence Task Graph (ITG) as a modeling and analysis tool. By us...