Modelling shared attention through relational reinforcement learning

Shared attention is a type of communication very important among human beings. It is sometimes reserved for the more complex form of communication being constituted by a sequence of four steps: mutual gaze, gaze following, imperative pointing and declarative pointing. Some approaches have been proposed in Human-Robot Interaction area to solve part of shared attention process, that is, the most of works proposed try to solve the first two steps. Models based on temporal difference, neural networks, probabilistic and reinforcement learning are methods used in several works. In this article, we are presenting a robotic architecture that provides a robot or agent, the capacity of learning mutual gaze, gaze following and declarative pointing using a robotic head interacting with a caregiver. Three learning methods have been incorporated to this architecture and a comparison of their performance has been done to find the most adequate to be used in real experiment. The learning capabilities of this architecture have been analyzed by observing the robot interacting with the human in a controlled environment. The experimental results show that the robotic head is able to produce appropriate behavior and to learn from sociable interaction.

MR-Radix: a multi-relational data mining algorithm

Abstract Background Once multi-relational approach has emerged as an alternative for analyzing structured data such as relational databases, since they allow applying data mining in multiple tables directly, thus avoiding expensive joining operations and semantic losses, this work proposes an algorithm with multi-relational approach. Methods Aiming to compare traditional approach performance and multi-relational for mining association rules, this paper discusses an empirical study between PatriciaMine - an traditional algorithm - and its corresponding multi-relational proposed, MR-Radix. Results This work showed advantages of the multi-relational approach in performance over several tables, which avoids the high cost for joining operations from multiple tables and semantic losses. The performance provided by the algorithm MR-Radix shows faster than PatriciaMine, despite handling complex multi-relational patterns. The utilized memory indicates a more conservative growth curve for MR-Radix than PatriciaMine, which shows the increase in demand of frequent items in MR-Radix does not result in a significant growth of utilized memory like in PatriciaMine. Conclusion The comparative study between PatriciaMine and MR-Radix confirmed efficacy of the multi-relational approach in data mining process both in terms of execution time and in relation to memory usage. Besides that, the multi-relational proposed algorithm, unlike other algorithms of this approach, is efficient for use in large relational databases.

Non-normal modal logics, quantification, and deontic dilemmas. A study in multi-relational semantics

This dissertation is devoted to the study of non-normal (modal) systems for deontic logics, both on the propositional level, and on the first order one. In particular we developed our study the Multi-relational setting that generalises standard Kripke Semantics. We present new completeness results concerning the semantic setting of several systems which are able to handle normative dilemmas and conflicts. Although primarily driven by issues related to the legal and moral field, these results are also relevant for the more theoretical field of Modal Logic itself, as we propose a syntactical, and semantic study of intermediate systems between the classical propositional calculus CPC and the minimal normal modal logic K.

Machine Learning applicato al Web Semantico: Statistical Relational Learning vs Tensor Factorization

Obiettivo della tesi è analizzare e testare i principali approcci di Machine Learning applicabili in contesti semantici, partendo da algoritmi di Statistical Relational Learning, quali Relational Probability Trees, Relational Bayesian Classifiers e Relational Dependency Networks, per poi passare ad approcci basati su fattorizzazione tensori, in particolare CANDECOMP/PARAFAC, Tucker e RESCAL.

The Impact of Parental Psychological Control on College Students’ Relational Aggression and Friendship Quality

The present study investigated the relationships between parental psychological control and college students’ relational aggression and friendship quality. Based on previous research, it was expected that parents’ use of psychological control would be associated with students’ increased use of relational aggression with peers and lower friendship quality. Students completed a series of survey measures assessing their mothers’ and fathers’ use of psychological control, behavioral control, and warmth/acceptance. Students also completed a series of survey measures assessing their friendship quality, social skills, relational aggression, self-esteem, and social desirability. The study’s findings revealed that parental psychological control was associated with and predicted students’ increased use of relational aggression with peers. Parental psychological control was also associated with students’ lower friendship quality. However, parents’ use of psychological control did not predict students’ friendship quality after accounting for the influence of students’ personal and peer relationship variables. This finding suggests that characteristics of peer relationships may play a larger role than parenting behaviors in shaping college students’ friendships. The study also found that students who displayed higher levels of relational aggression had lower quality friendships. Other findings revealed that the relationship between parental psychological control and students’ friendship quality can be partially explained by students’ use of relational aggression with peers. Students’ friendship quality can also help to explain the influence of parental psychological control on students’ relational aggression. In addition, the study found that combinations of parenting behaviors were more informative predictors of students’ relational aggression and friendship quality than psychological control alone. Finally, this study revealed the importance of assessing participants’ social desirability when measuring sensitive personal qualities such as relational aggression, friendship quality, and self-esteem. Overall, this study contributes to the field of research on parental psychological control by revealing its effects on college students’ relational aggression and friendship quality.

Transnational Marriage: Modern Imaginings, Relational Realignments, and Persistent Inequalities

In the context of shifting cultural anchors as well as unstable global economic conditions, new practices of intimacy and sexuality may become tactics in an individual’s negotiation of conflicting desires and potentials. This article offers reflection on the interface between global forces, powerful transcultural narratives, and state policies, on the one hand, and local, even individual, constructions and tactics in regard to sexuality, marriage, migration, and work, on the other. The article focuses on the life trajectory of Gudiya, an ambitious young Hindu woman who started out life with little social capital and few economic resources in a dusty corner of what was then the tiny kingdom of Nepal. Gudiya’s story highlights the ways in which she has engaged in relational realignments aimed at bringing her closer to the life she imagines, even as she has encountered new and persistent forms of inequality both local and transnational in scale.