Emotions are an important part of the user experience in human machine interaction. More standardized methods of emotion measurement are required to assist in evaluating and comparing these experiences. This research introduces the concept of Emotional Bandwidth, a psychometric property of self-reported emotion measured through a continuous, quantitative slider. Emotional Bandwidth is illustrat...

We propose a unifying picture where the notion of generalized entropy is related to information theory by means of a group-theoretical approach. The group structure comes from the requirement that an entropy be well defined with respect to the composition of independent systems, in the context of a recently proposed generalization of the Shannon-Khinchin axioms. We associate to each member of a...

The typical training scenario for an artificial neural network involves minimization of a cost-function in terms of the network output variables. Alternatively, the minimization may be done on the basis of the probability distributions of the network output, specifically, in terms of an informational entropy. A large class of such entropy based cost-functions are not suitable for training as th...

The quantitative evaluation of order and complexity conforming with human intuitive perception has been at the core of computational notions of aesthetics. Informational theories of aesthetics have taken advantage of entropy in measuring order and complexity of stimuli in relation to their aesthetic value. However entropy fails to discriminate structurally different patterns in a 2D plane. This...

An often used methodology for reasoning with probabilistic conditional knowledge bases is provided by the principle of maximum entropy (so-called MaxEnt principle) that realises an idea of informational economy. In this paper we exploit the fact that MaxEnt distributions can be computed by solving nonlinear equation systems that reflect the conditional logical structure of these distributions. ...

Conditions of applicability of the laws established for thermodynamic entropy do not necessarily fit to the entropy defined for information. Therefore, one must handle carefully the informational conclusions derived by mathematical analogies from the laws that hold for thermodynamic entropy. Entropy, and the arrow of its change are closely related to the arrows of the change of symmetry and of ...

The goal of the work. Development EXCEL-oriented calculator for calculating results entropy analysis data, which are distributed by categories. subject research is histograms arbitrary distribution laws and conjugation tables 2×2. Research methods: Entropy information tables. obtained results. It proposed to use methods data categories; on structure designed this purpose given. makes it possibl...

In this project I investigate what minimal conditions can allow a system to be regarded as a cognitive agent, i.e. what the subject of cognitive science is. An agent is a highly organized complex system which has intrinsic goals (in its minimal sense, persistence within viability boundary) and whose dynamical organization supports an informational description. Every agent, it follows, is inform...

Assuming sparsity or compressibility of the underlying signals, compressed sensing or compressive sampling (CS) exploits the informational efficiency of under-sampled measurements for increased efficiency yet acceptable accuracy in information gathering, transmission and processing, though it often incurs extra computational cost in signal reconstruction. Shannon information quantities and theo...