Edge-aware Graph Attention Networks: Joint Reasoning On Text and Knowledge Graphs for Biomedical Question Answering

Much of the real-world dataset, including textual data, can be represented using graph structures. The use of graphs to represent textual data has many advantages, mainly related to maintaining a more significant amount of information, such as the relationships between words and their types. In recent years, many neural network architectures have been proposed to deal with tasks on graphs. Many of them consider only node features, ignoring or not giving the proper relevance to relationships between them. However, in many node classification tasks, they play a fundamental role. This thesis aims to analyze the main GNNs, evaluate their advantages and disadvantages, propose an innovative solution considered as an extension of GAT, and apply them to a case study in the biomedical field. We propose the reference GNNs, implemented with methodologies later analyzed, and then applied to a question answering system in the biomedical field as a replacement for the pre-existing GNN. We attempt to obtain better results by using models that can accept as input both node and edge features. As shown later, our proposed models can beat the original solution and define the state-of-the-art for the task under analysis.

On the role of Computational Logic in Data Science: representing, learning, reasoning, and explaining knowledge

In this thesis we discuss in what ways computational logic (CL) and data science (DS) can jointly contribute to the management of knowledge within the scope of modern and future artificial intelligence (AI), and how technically-sound software technologies can be realised along the path. An agent-oriented mindset permeates the whole discussion, by stressing pivotal role of autonomous agents in exploiting both means to reach higher degrees of intelligence. Accordingly, the goals of this thesis are manifold. First, we elicit the analogies and differences among CL and DS, hence looking for possible synergies and complementarities along 4 major knowledge-related dimensions, namely representation, acquisition (a.k.a. learning), inference (a.k.a. reasoning), and explanation. In this regard, we propose a conceptual framework through which bridges these disciplines can be described and designed. We then survey the current state of the art of AI technologies, w.r.t. their capability to support bridging CL and DS in practice. After detecting lacks and opportunities, we propose the notion of logic ecosystem as the new conceptual, architectural, and technological solution supporting the incremental integration of symbolic and sub-symbolic AI. Finally, we discuss how our notion of logic ecosys- tem can be reified into actual software technology and extended towards many DS-related directions.

Integration of heterogeneous data sources and automated reasoning in healthcare and domotic IoT systems

In recent years, IoT technology has radically transformed many crucial industrial and service sectors such as healthcare. The multi-facets heterogeneity of the devices and the collected information provides important opportunities to develop innovative systems and services. However, the ubiquitous presence of data silos and the poor semantic interoperability in the IoT landscape constitute a significant obstacle in the pursuit of this goal. Moreover, achieving actionable knowledge from the collected data requires IoT information sources to be analysed using appropriate artificial intelligence techniques such as automated reasoning. In this thesis work, Semantic Web technologies have been investigated as an approach to address both the data integration and reasoning aspect in modern IoT systems. In particular, the contributions presented in this thesis are the following: (1) the IoT Fitness Ontology, an OWL ontology that has been developed in order to overcome the issue of data silos and enable semantic interoperability in the IoT fitness domain; (2) a Linked Open Data web portal for collecting and sharing IoT health datasets with the research community; (3) a novel methodology for embedding knowledge in rule-defined IoT smart home scenarios; and (4) a knowledge-based IoT home automation system that supports a seamless integration of heterogeneous devices and data sources.

Weak reasoning argumentative theory. A dialogical approach for the discovery of philosophy in high schools

In the literature on philosophical practices, despite the crucial role that argumentation plays in these activities, no specific argumentative theories have ever been proposed to assist the figure of the facilitator in conducting philosophical dialogue and to enhance student’s critical thinking skills. The dissertation starts from a cognitive perspective that challenges the classic Cartesian notion of rationality by focusing on limits and biases of human reasoning. An argumentative model (WRAT – Weak Reasoning Argumentative Theory) is then outlined in order to respond to the needs of philosophical dialogue. After justifying the claim that this learning activity, among other inductive methodologies, is the most suitable for critical thinking education, I inquired into the specific goal of ‘arguing’ within this context by means of the tools provided by Speech Act Theory: the speaker’s intention is to construct new knowledge by questioning her own and other’s beliefs. The model proposed has been theorized on this assumption, starting from which the goals, and, in turn, the related norms, have been pinpointed. In order to include all the epistemic attitudes required to accomplish the complex task of arguing in philosophical dialogue, I needed to integrate two opposed cognitive accounts, Dual Process Theory and Evolutionary Approach, that, although they provide incompatible descriptions of reasoning, can be integrated to provide a normative account of argumentation. The model, apart from offering a theoretical contribution to argumentation studies, is designed to be applied to the Italian educational system, in particular to classes in technical and professional high schools belonging to the newly created network Inventio. This initiative is one of the outcomes of the research project by the same name, which also includes an original Syllabus, research seminars, a monitoring action and publications focused on introducing philosophy, in the form of workshop activities, into technical and professional schools.

Mind the gaps: cognitive-inspired AI for high-level visual sensemaking. Towards abstract concept image classification

The abundance of visual data and the push for robust AI are driving the need for automated visual sensemaking. Computer Vision (CV) faces growing demand for models that can discern not only what images "represent," but also what they "evoke." This is a demand for tools mimicking human perception at a high semantic level, categorizing images based on concepts like freedom, danger, or safety. However, automating this process is challenging due to entropy, scarcity, subjectivity, and ethical considerations. These challenges not only impact performance but also underscore the critical need for interoperability. This dissertation focuses on abstract concept-based (AC) image classification, guided by three technical principles: situated grounding, performance enhancement, and interpretability. We introduce ART-stract, a novel dataset of cultural images annotated with ACs, serving as the foundation for a series of experiments across four key domains: assessing the effectiveness of the end-to-end DL paradigm, exploring cognitive-inspired semantic intermediaries, incorporating cultural and commonsense aspects, and neuro-symbolic integration of sensory-perceptual data with cognitive-based knowledge. Our results demonstrate that integrating CV approaches with semantic technologies yields methods that surpass the current state of the art in AC image classification, outperforming the end-to-end deep vision paradigm. The results emphasize the role semantic technologies can play in developing both effective and interpretable systems, through the capturing, situating, and reasoning over knowledge related to visual data. Furthermore, this dissertation explores the complex interplay between technical and socio-technical factors. By merging technical expertise with an understanding of human and societal aspects, we advocate for responsible labeling and training practices in visual media. These insights and techniques not only advance efforts in CV and explainable artificial intelligence but also propel us toward an era of AI development that harmonizes technical prowess with deep awareness of its human and societal implications.

Uma observação sobre o lugar da teoria da ligação e do critério temático dentro do programa minimalista

In this paper I present some evidencie that forces us to conclude that within the Minimalist Program (Chomsky 1993; 1995), Binding Theory (BT) should be computed after LF (Logical Form). I show that derivations leading to structures containing violations of BT-Principles must converge at LF, since less economical alternative derivations respecting those principles are also ungrammatical. Being irrelevant to the notion of convergence, BT must apply after LF. A similar reasoning reveals that the Theta-Criterion should have the status of a bare output condition appling at LF, since less economical derivations are allowed by the computational system to prevent violations of it.

Modelos organizadores do pensamento: uma perspectiva de pesquisa sobre o raciocínio moral com adolescentes autores de infração

This article has the aim to expand the perspective of research in the field of morality. We present a proposal of morality study of outlaw teenagers according to Thinking Organizer Models Theory. Through the idea of complexity we search to understand the cognitive process in the elaboration of moral reasoning inside situations of conflict. With this perspective, we developed a research that aimed to identify which organizer models were applied by 20 outlaw male teenagers who abide by social punishment to solve the hypothetical moral conflicts. Through interviews we told them a situation of moral conflict that involved friendship relation, physical aggression and steal. We could identified several models which were joined in three categories. Such models reflected the diversity and regularity that are present inside the elaborated reasoning to solve the conflicts shown by us. We conclude that the diversity of organizer models identified shows the importance of the contents in the construction of moral reasoning.

Mediação da professora generalista no trabalho corporal na educação infantil

Universidade Estadual de Campinas . Faculdade de Educação Física

Lazer nos acampamentos de ferias : uma analise da ação dos animadores socio-culturais

Universidade Estadual de Campinas. Faculdade de Educação Física

O corpo e seus textos : o estetico, o politico e o pedagogico na dança

Universidade Estadual de Campinas. Faculdade de Educação Física

Lazer nas atividades de aventura na natureza e qualidade de vida para pessoas com deficiência : um estudo a partir do caso da cidade de Socorro - SP

Universidade Estadual de Campinas . Faculdade de Educação Física

Estudo teorico dos aspectos prosturais e da plasticidade muscular frente ao alongamento

Universidade Estadual de Campinas. Faculdade de Educação Física

Avaliação da memória de trabalho em crianças com transtorno do déficit de atenção e hiperatividade

Esse projeto investigou as habilidades cognitivas da Memória de Trabalho de crianças e adolescentes com o “Transtorno do Déficit de Atenção e Hiperatividade” (TDAH). Foi aplicado teste TIHC - Teste Infantil de Habilidades Cognitivas informatizado, avaliando principalmente cinco habilidades cognitivas Raciocínio Indutivas (RI), Memória de Armazenamento Auditiva (MAA) e Visual e Memória de Trabalho Auditiva (MTA) e Visual (MTV) usando o modelo de Cattell-Horn-Carroll. O teste foi aplicado em 62 sujeitos sendo 32 com TDAH do Hospital das Clínicas-SEPIA-USP e 30 sujeitos controle “normal” do Ensino Fundamental da rede municipal de 1ª à 8ª séries com idades entre 7 e 15 anos, de ambos os sexos. As análises executadas indicaram a existência de diferenças em diversos aspectos relacionados à memória nos tipos peculiares de crianças com TDAH. Verificou-se que as crianças com TDAH obtiveram bom desempenho nas provas de memória visual em detrimento as provas de memória auditiva. A correlação dos resultados do TIHC verificara que o tempo de reação da prova de memória de armazenamento visual manteve uma correlação significativa com a prova de cálculo.

Os cuidados com a "carne" na socialização sexual dos jovens

Neste trabalho discutimos o posicionamento de lideranças cristãs sobre a "gestão" das sexualidades dos jovens, no contexto de interpelação das políticas sexuais do Estado. As reflexões resultam de pesquisa etnográfica, conduzida através de levantamento documental, observação e entrevistas com 47 religiosos em Recife. A análise dos dados evidencia o espaço religioso como instância disciplinar que opera a partir de uma razão transcendente ("responsabilidade"). Espera-se que esta seja incorporada pela pessoa, que, então, passa a ser capaz de fazer escolhas apropriadas e diferenciar o "certo" do "errado". Aids e gravidez na adolescência aparecem como resultantes das "tentações da carne/erótico". Na perspectiva dos Direitos Sexuais e à Saúde, o artigo visa desconstruir a carne como domínio de "tentação" e de "força essencial" que leva ao desvio/pecado/"risco"; ressituando-a como instância positiva dos sujeitos (de direitos), e condição de fertilidade social.

The role of heritage in revalorization politicos of urban space

Certain areas of the city of Sao Paulo, as many others around the world, including in Lisbon, Barcelona and Buenos Aires, have been going through a process of requalification, in special the ones commonly known as old and/or traditional city. Regarding Sao Paulo, some exceptional actions have been taken downtown with investments in rehabilitation/requalification of areas that concentrated the historical, urbanistic and cultural heritages, such as Praca da S and its cathedral, as well as the revaluation/rehabilitation projects of other squares like Praca da Republica, other areas as the previously called Cracolandia (due to high consumption/deal of crack), known today as Nova Luz, besides propositions to reevaluate areas already modified, such as Vale do Anhangabau. In all propositions to modify sites, it is firstly underlined its deterioration, litter and the presence of low-income populations (passer-bys, street vendors or residents), generally stigmatized as ""potential suspects"", emphasizing danger and lack of security in those places. This belief, which has become consensual, results in that: public as well as private companies promote the rehabilitation of the areas basing their reasoning in the necessity of adding value to the existing urban heritage, although, as it will be discussed in this paper, part of this heritage might be destroyed in this very process, under the allegation that upon completion, the action would allow the social, cultural and economical revaluation/requalification of the area. This paper is intended to provide a contribution to this discussion.