Embodiment and Manipulation Learning Process for a Humanoid Hand

Babies are born with simple manipulation capabilities such as reflexes to perceived stimuli. Initial discoveries by babies are accidental until they become coordinated and curious enough to actively investigate their surroundings. This thesis explores the development of such primitive learning systems using an embodied light-weight hand with three fingers and a thumb. It is self-contained having four motors and 36 exteroceptor and proprioceptor sensors controlled by an on-palm microcontroller. Primitive manipulation is learned from sensory inputs using competitive learning, back-propagation algorithm and reinforcement learning strategies. This hand will be used for a humanoid being developed at the MIT Artificial Intelligence Laboratory.

A Note on Object Class Representation and Categorical Perception

We present a novel scheme ("Categorical Basis Functions", CBF) for object class representation in the brain and contrast it to the "Chorus of Prototypes" scheme recently proposed by Edelman. The power and flexibility of CBF is demonstrated in two examples. CBF is then applied to investigate the phenomenon of Categorical Perception, in particular the finding by Bulthoff et al. (1998) of categorization of faces by gender without corresponding Categorical Perception. Here, CBF makes predictions that can be tested in a psychophysical experiment. Finally, experiments are suggested to further test CBF.

Attention, memory and verbal learning and their relation to schizotypal traits in unaffected parents of schizophrenic patients

The main objective of this ex post facto study is to compare the differences in cognitive functions and their relation to schizotypal personality traits between a group of unaffected parents of schizophrenic patients and a control group. A total of 52 unaffected biological parents of schizophrenic patients and 52 unaffected parents of unaffected subjects were assessed in measures of attention (Continuous Performance Test- Identical Pairs Version, CPT-IP), memory and verbal learning (California Verbal Learning Test, CVLT) as well as schizotypal personality traits (Oxford-Liverpool Inventory of Feelings and Experiences, O-LIFE). The parents of the patients with schizophrenia differ from the parents of the control group in omission errors on the Continuous Performance Test- Identical Pairs, on a measure of recall and on two contrast measures of the California Verbal Learning Test. The associations between neuropsychological variables and schizotpyal traits are of a low magnitude. There is no defined pattern of the relationship between cognitive measures and schizotypal traits

The UK Professional Standards Framework for teaching and supporting learning in higher education

This is a part of a collection of materials developed by the HEAcademy Subject Centre for Languages, linguistics and area studies. The materials provide reflective activities designed to engage teachers with some of the key issues in working with international students and practical ideas for ways in which these can be addressed. They will be of particular interest to new staff or anyone new to working with international students.

Getting Started with Blackboard and E-Learning

A PowerPoint used to start a discussion about the nature of e-learning, and showing how Blackboard can be used to support independent learning by students.

Data Science, Microsoft and You

In this session we'll explore how Microsoft uses data science and machine learning across it's entire business, from Windows and Office, to Skype and XBox. We'll look at how companies across the world use Microsoft technology for empowering their businesses in many different industries. And we'll look at data science technologies you can use yourselves, such as Azure Machine Learning and Power BI. Finally we'll discuss job opportunities for data scientists and tips on how you can be successful!

Hierarchical Prediction Machines and Big Data Analytics

An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system. This is a system in which higher-order regions are continuously attempting to predict the activity of lower-order regions at a variety of (increasingly abstract) spatial and temporal scales. The brain is thus revealed as a hierarchical prediction machine that is constantly engaged in the effort to predict the flow of information originating from the sensory surfaces. Such a view seems to afford a great deal of explanatory leverage when it comes to a broad swathe of seemingly disparate psychological phenomena (e.g., learning, memory, perception, action, emotion, planning, reason, imagination, and conscious experience). In the most positive case, the predictive processing story seems to provide our first glimpse at what a unified (computationally-tractable and neurobiological plausible) account of human psychology might look like. This obviously marks out one reason why such models should be the focus of current empirical and theoretical attention. Another reason, however, is rooted in the potential of such models to advance the current state-of-the-art in machine intelligence and machine learning. Interestingly, the vision of the brain as a hierarchical prediction machine is one that establishes contact with work that goes under the heading of 'deep learning'. Deep learning systems thus often attempt to make use of predictive processing schemes and (increasingly abstract) generative models as a means of supporting the analysis of large data sets. But are such computational systems sufficient (by themselves) to provide a route to general human-level analytic capabilities? I will argue that they are not and that closer attention to a broader range of forces and factors (many of which are not confined to the neural realm) may be required to understand what it is that gives human cognition its distinctive (and largely unique) flavour. The vision that emerges is one of 'homomimetic deep learning systems', systems that situate a hierarchically-organized predictive processing core within a larger nexus of developmental, behavioural, symbolic, technological and social influences. Relative to that vision, I suggest that we should see the Web as a form of 'cognitive ecology', one that is as much involved with the transformation of machine intelligence as it is with the progressive reshaping of our own cognitive capabilities.

Crisis of political representation and democratization in Mexico: the generality and specificity of the case

This article attempts to assess the implications and the own character of the crisis of representation in Mexico. Once the topic framed and the long-term dynamics of Mexican political elites presented, this paper will attempt to understand why, despite the pluralization of the party system, there remain many questions about the truly democratic nature of the Mexican political system.

ICT and language learning : integrating pedagogy and practice.

Proporciona a los profesores de lengua y formadores una guía para la integración de la información y las comunicaciones (TIC) en su enseñanza y aprendizaje. También, analiza el cambio experimentado en el contexto del aprendizaje del lenguaje como resultado de estudios teóricos, pedagógicos, y de la tecnología.

Primary schools and ICT : learning from pupil perspectives.

El uso de la tecnología de la información y de la comunicación (TIC) en las escuelas primarias es a menudo problemática y frustrante tanto para los profesores como para los alumnos. Este texto se basa en un estudio sobre las experiencias y percepciones de más de seiscientos alumnos de primaria para explorar cómo se puede mejorar el uso de las TIC en ese nivel y hace una serie de sugerencias prácticas para su modificación en las escuelas teniendo en cuenta qué emociona, motiva e interesa a los niños en y fuera del aula.

Adult education and lifelong learning : theory and practice.

Esta edición revisada y actualizada con material adicional incorpora muchos de los cambios ocurridos en el campo de la educación de adultos en los últimos años. Entre sus novedades se destacan: material sobre las implicaciones éticas y políticas del aprendizaje permanente; repercusión de la globalización y de los cambios sociales; información sobre cómo las tecnologías están afectando al aprendizaje de la gente; también se incluyen diversos enfoques sobre el conocimiento y la adquisición y evaluación de conocimientos.

La eficacia de la instrucción directa y del aprendizaje cooperativo en la comprensión a partir de textos = Efficacy of direct instruction and cooperative learning for text comprehension.

Resumen basado en el del autor

Exploring the relationship between task, teacher actions, and student learning. 'Exploración de las relaciones entre tarea, acciones del profesor y aprendizaje del estudiante'.

Resumen basado en el de la publicación

Virtual communities and strategic learning of calculus in enginery. 'Comunidades virtuales y el aprendizaje estratégico de cálculo en ingeniería'.

Resumen basado en el de la publicación

Tourism representation and semiotics : directions for future research

O objectivo desta breve nota de pesquisa é dar a conhecer ao leitor um método de pesquisa científica em turismo relativamente pouco utilizado mas com um grande potencial - a análise semiótoca, ou análise semiótica de conteúdo. Conquanto existam alguns estudos em que a análise semiótica é utilizada como método de pesquisa científica, nomeadamente na área da representação turística, o seu potencial permanece relativamente pouco explorado. Esta nota de pesquisa sumariza a literatura relevante nesta área, sublinha a sua importância, e apresenta uma série de possíveis avenidas de pesquisas futuras. Implicações práticas e académicas desta linha de inquérito são discutidas no final do artigo.