In this article we demonstrate a novel way to resolve conflicts in two-level grammars by weighting the rules. The rules are transformed into probabilistic constraints, which are allowed to compete with each other. We demonstrate a method to automatically assign weights to the rules. It acts in a similar way as traditional conflict resolution, except that traditionally unresolvable left-arrow ru...

Autonomous robots operating in unstructured environments clearly require some capacity for adaptive behaviour. This paper presents a method for achieving an adaptive response based on a multi-layer control architecture. The primary level of control is composed of the Behaviour Synthesis Architecture [1] which is continuously modified by a secondary layer, composed of a Fuzzy Logic controller. T...

A robust empirical regularity in decision making is that the negative consequences of an option (i.e., losses) often have a stronger impact on people’s behavior than the positive consequences (i.e., gains). One common explanation for such a gain-loss asymmetry is loss aversion. To model loss aversion in risky decisions, prospect theory (Kahneman & Tversky, 1979) assumes a kinked value function ...

The Nearest Neighbor rule is one of the most successful classifiers in machine learning but it is very sensitive to noisy data, which may cause its performance to deteriorate. This contribution proposes a new feature weighting classifier that tries to reduce the influence of noisy features. The computation of the weights is based on combining imputation methods and non-parametrical statistical ...

Linguistic fuzzy modeling that is usually implemented using Mamdani type of fuzzy systems suffers from the lack accuracy and high computational costs. The paper shows that product-sum inference is an immediate remedy to both problems and that in this case it is sufficient to consider symmetrical output membership functions. For the identification of the latter, a numerically efficient method is...

In this paper a novel approach to embed watermark into the host image using quantization with the help of Dynamic Fuzzy Inference System (DFIS) is proposed. The cover image is decomposed up to 3levels using quantization and Discrete Wavelet Transform (DWT). A bitmap of size 64x64 pixels is embedded into the host image using DFIS rule base. The DFIS is utilized to generate the watermark weightin...

In the latest issue of this journal, Lefevre et al.’s paper [1] raises the important question of how to combine belief functions from different sources and how to manage conflicts. They propose a parametrized combination rule that includes several existing combination rules as special cases. Their method is based on so-called weighting factors that determine how conflicting masses are to be dis...

An analysis of the conditions under which range registration was previously performed using a piecewise linear approximation to a comparametric function is presented. Stricter constraints are introduced which result in a better estimation of the exposure difference between two images of the same scene. Specifically, a positive slope constraint is imposed on each linear segment. Also, the knot l...