Presents recent advances in both models and systems for intelligent decision making.Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with...

This study investigated whether scores of item response accuracy (AC) and item response latencies (RLs) from a computer based artificial language test (ALT) uniquely predicted grades in a Spanish language course at a U.S. law enforcement training academy. As expected, ALT-RLs added to the...

This paper builds a model of growth through industrialization, as machines replace workers in a growing number of tasks. This enables the economy to experience long-run growth, as machines become servants of humans, and as their number can grow unboundedly. The mechanism that drives growth is...

The importance of machine learning for social network analysis is realized as an inevitable tool in forthcoming years. This is due to the unprecedented growth of social-related data, boosted by the proliferation of social media websites and the embedded heterogeneity and complexity. Alongside...

E-mail messages are originally designed to be sent and accumulated in repository for periodical use which amounts to the details of an event or a meeting’s upcoming agenda for a particular organization. These messages range from static organizational knowledge to conversations and pose a lot...

The world's data is growing more than 40% annually. Coupled with exponentially growing computing horsepower, this provides us with unprecedented basis for “learning” useful things from the data through statistical induction without material human intervention and acting on them. Philosophers...