This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning problems can be modeled as Markov Decision Processes [5]. This work is…

Racial and ethnic categories have appeared in recent scientific work in novel ways and in relation to a variety of disciplines: medicine, forensics, population genetics and also developments in popular genealogy. Once again, biology is foregrounded in the discussion of…

Given an instance of an optimization problem together with an optimal solution, we consider the scenario in which this instance is modified locally. In graph problems, e. g., a singular edge might be removed or added, or an edge weight…

The development of systems with the ability to reason about change notion and actions has been of great importance for the artificial intelligence community. The definition and implementation of systems capable of managing defeasible, incomplete, unreliable, or uncertain information has…

In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for solving constrained (numerical) optimization problems. The model operates on three populations: Virgins,…

James Reinders (Chief Evangelist of Intel® Software at Intel) and Jim Jeffers (Principal Engineer at Intel)
have gathered in this book the working knowledge of the people involved to prototype and productize the Intel® Xeon Phi coprocessor. This include…

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

Emerging international research suggests that
enhancing teacher-student assessment for learning
(AfL) interactions is a key to enhancing student
learning. Planning frameworks that make explicit the
multiple dimensions of technology can be used to
extend teacher knowledge and focus interaction.
Effective…

This paper presents an interactive computer simulator that can be used in the
field of practical training in Robotics. The tool can provide basic training for workers as
well as increase their knowledge about robotic concepts. The application offers a…