Robotic control systems based on bioinspired multi-agent systems: application of the principles of neuroscience to robotics

Robotics is a field that presents a large number of problems because it depends on a large number of disciplines, devices, technologies and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges, such as robots household robots or professional robots. To facilitate the rapid development of robotic systems, low cost, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems.

The University of Alicante Library copy of Palmerin d'Oliva (London, 1637): A Bibliographical Description

The purpose of this article is to provide bibliographical information about a copy of the fourth edition of the two parts of Anthony Munday's translation of Palmerin d'Oliva (London, 1637; STC 19160) recently purchased by the University of Alicante Library and not mentioned in the standard bibliographies. The article contains a detailed bibliographical description based on Bowers's principles (1949) and is designed to be useful to scholars by making direct consultation of the copy in most cases unnecessary. The description is preceded by a short introduction to the literary text and its publication in England.