Nowadays, multiagent systems became a widely used technology in everyday life. More studies are needed to evaluate these systems from different aspects such as evaluating agent dialogues, the participants to these dialogues, and the protocols governing the dialogues, etc. In this paper, we define new measures for dialogue games from an external agent’s point of view. In particular, two measurem...

Efficient estimation of the moments and Shannon entropy of data streams is an important task in modern machine learning and data mining. To estimate the Shannon entropy, it suffices to accurately estimate the α-th moment with ∆ = |1 − α| ≈ 0. To guarantee that the error of estimated Shannon entropy is within a ν-additive factor, the method of symmetric stable random projections requires O ( 1 ν...

today, along with enhancement of social well-being andeconomic development, demand for transportation is growing increasingly.many countries are seeking for providing transportation servicesat a reasonable price. therefore, optimization of carrying goods on nationalor international roads is highly important in terms of costs andtransportation indicator, so that the goods are shipped at minimumc...

PURPOSE To assess the wavelet entropy for the characterization of intrinsic aberrant temporal irregularities in the time series of resting-state blood-oxygen-level-dependent (BOLD) signal fluctuations. Further, to evaluate the temporal irregularities (disorder/order) on a voxel-by-voxel basis in the brains of children with Rolandic epilepsy. MATERIALS AND METHODS The BOLD time series was deco...

We consider spin systems in the $d$-dimensional lattice $Z^d$ satisfying so-called strong spatial mixing condition. show that relative entropy functional of corresponding Gibbs measure satisfies a family inequalities which control on given region $V\subset Z^d$ terms weighted sum entropies blocks $A\subset V$ when each $A$ is an arbitrary nonnegative weight $\alpha_A$. These generalize well kno...

The optimal design of data acquisition is not obvious in Bayesian Network models. The dependency structure may vary dramatically, which makes learning and information evaluation complicated and sometimes non-intuitive. Our application, and the motivation for working on this topic, is prospect selection for petroleum exploration in the North Sea. Here, the data gathering is often carried out dur...

The concept of Shannon entropy as a measure of disorder is introduced and the generalisations of the Rényi and Tsallis entropy are motivated and defined. A number of different estimators for Shannon, Rényi and Tsallis entropy are defined in the theoretical part and compared by simulation in the practical part. In this work the nearest neighbour estimator presented in Leonenko and Pronzato (2010...