Forthcoming

Behavioral economics and existentialism both present informative perspectives on human choice. We argue in this article that the dialogue between two approaches can enrich current debate about normative implications of behavioral economics. While suggests our capacity to choose is constrained by cognitive biases environmental influences, emphasizes we (and should) treat ourselves as free ‘becom...

Previous work has high classification accuracy when classifying music genres that are very different [1] (e.g. rock vs. pop, jazz vs. classical), but little machine learning research has been done to classify music by subgenres within a larger genre that describe temporally and stylistically similar music. In this paper, we apply machine learning to classify classical music by time period. To d...

The main purpose of this paper is to determine the best performance time period of a system, consisting some DMUs, among some sequential time periods. This aim is satised by two proposed algorithms, the rst based on global Malmquist Productivity Index and the second is based on PPS frontiers.

limitations of our cognitive system? Or are errors indispensable parts of every intelligent system? From the first perspective, all errors are at best unnecessary and at worst harmful. Consider an error commonly made by children. When asked to find the sum of 1/2 and 1/3. the answer is often 2/5. This is called the freshman error of adding numerators and adding denominators {Silver. 1986). But ...

Task period and deadline selection are often used to adjust the workload to the available computational resources. This paper presents a method for adjusting the periods of the tasks which obtains the minimal hyper-period. Task periods are modelled as a range of possible periods. The selected periods are not constrained to be natural numbers, but can also be rational numbers. Without this limit...