Can artificial Intelligence Prediction Algorithms Exceed Statistical Predictions?

Statistical Prediction of Probable Seismic Hazard Zonation of Iran Using Self-organized Artificial Intelligence Model

The Iranian plateau has been known as one of the most seismically active regions of the world, and it frequently suffers destructive and catastrophic earthquakes that cause heavy loss of human life and widespread damage. Earthquakes are regularly felt on all sides of the region. Prediction of the occurrence location of the future earthquakes along with determining the probability percentage can...

Bayesian Prediction for Artificial Intelligence

This paper shows that the common method used for making predictions under uncertainty in AI and science is in error. This method is to use currently available data to select the best model from a given class of models-this process is called abduction-and then to use this model to make predictions about future data. The correct method requires averaging over all the models to make a prediction-w...

Prediction Based Diagnosis Using Artificial Intelligence Methods

Can We Define Levels Of Artificial Intelligence?

The paper argues for a graded approach to the study of artificial intelligence. In contrast to the Turing test approach, such an approach permits the measurement of incremental progress in AI research. Results on the conceptual abilities of pigeons are summarized. These abilities far exceed the generalization abilities of current AI programs. It is argued that matching the conceptual abilities ...

Algorithms for computational argumentation in artificial intelligence

Argumentation is a vital aspect of intelligent behaviour by humans. It provides the means for comparing information by analysing pros and cons when trying to make a decision. Formalising argumentation in computational environment has become a topic of increasing interest in artificial intelligence research over the last decade. Computational argumentation involves reasoning with uncertainty by ...