Abstract This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as two-year subject. The was designed based on two premises. first one is that, although the targeted to scientific programmes, involved students and teachers do not have any previous knowledge about AI. Accordingly, teaching units with aim supporting new discipline them and, addition, providing an introductory level students. main didactical...

This article presents the Robobo SmartCity model, an educational resource to introduce students computational intelligence (CI) topics using robotics as core learning technology. allows educators train learners in artificial (AI) fundamentals from a feasible and practical perspective, following recommendations of digital education plans AI at all levels. is based on robot autonomous driving setup. It made up city mockup, simulation models, programming libraries adapted students' skill level....

The multilevel Darwinist brain (MDB) is a cognitive architecture that follows an evolutionary approach to provide autonomous robots with lifelong adaptation. It has been tested in real robot on-line learning scenarios obtaining successful results reinforce the principles constitute main original contribution of MDB. This preliminary work lead series improvements computational implementation so as achieve realistic operation time, which was biggest problem due high cost induced by algorithms...

By integrating applications and resources, portals let users access information in a simple, straightforward manner. Currently, most create one or more personal pages composed of portlets - interactive Web mini-applications. Until recently, no standards for existed, thus consuming remote generic way deploying portal server that were developed different has been impossible. Two released Fall 2003 the Services Remote Portlets (WSRP) Java portlet specification address these problems. This...

Artificial Intelligence (AI) will have a major social impact in the coming years, affecting today's professions and our daily routines. In short-term, education is one of most impacted areas. The autonomous decision making that can be achieved with tools based on AI implies some traditional methodologies associated fundamentals learning process students, must reviewed. Consequently, role teachers classroom may change, as they to deal such performing parts their work, students common use...

This work deals with the development of a dynamic task assignment strategy for heterogeneous multi-robot teams in typical real world scenarios. The must be efficiently scalable to support problems increasing complexity minimum designer intervention. To this end, we have selected very simple auction-based strategy, which has been implemented and analysed cleaning problem that requires strong coordination complex subtask organization. We will show selection auction provides linear...

In the framework of open-ended learning cognitive architectures for robots, this paper deals with design a Long-Term Memory (LTM) structure that can accommodate progressive acquisition experience-based decision capabilities, or what different authors call "automation" is learnt, as complementary system to more common prospective functions. The LTM proposed here provides relational storage knowledge nuggets given form artificial neural networks (ANNs) representative contexts in which they are...

Cognitive Developmental Robotics relies on lifelong open-ended learning processes, where mechanisms are needed to allow the robot self-discover and self-select goals as well self-define its state space evaluation with regards them. Thus,

The crawler engines of today cannot reach most the information contained in Web. A great amount valuable is "hidden" behind query forms online databases, and/or dynamically generated by technologies such as Javascript. This portion web usually known Deep Web or Hidden We have built DeepBot, a prototype hidden-web focused able to access content. DeepBot receives set domain definitions an input, each one describing specific data-collecting task and automatically identifies learns execute...

Designing robots has usually implied knowing beforehand the tasks to be carried out and in what domains. However, case of fully autonomous this is not possible. Autonomous need operate an open-ended manner, that is, deciding on most interesting goals achieve domains are known at design time. This obviously poses a challenge from point view designing robot control structure. In particular, main question arises how endow with designer defined purpose means translate into operational decisions...