Prova de CAT

25 Julho 2017, 10:46 - Fátima Sampaio

Candidate: Fernando Pedro Pascoal dos Santos n.º 64757/D

Title: Collective dynamics of cooperation

Date: 25/07/2017

Time: 11h

Location: Sala 1.38, Taguspark, Instituto Superior Técnico, Universidade de Lisboa

Advisor: Professor Francisco João Duarte Cordeiro Correia dos Santos

Co-advisors: Professora Ana Maria Severino de Almeida e Paiva and Professor Jorge Manuel dos Santos Pacheco

Abstract: Explaining cooperation is one of the biggest challenges of the XXIst century. Understanding its evolutionary dynamics is fundamental to comprehend the origin of societies, institutions and the own human nature. Simultaneously, cooperation models may explain the sparing engagement in tackling contemporary problems – such as climate change, international conflict, corruption or economic poverty and inequality – providing a toolkit to experiment effective policies and novel interaction paradigms. In this thesis, we employ computational and mathematical methods (inspired in evolutionary game theory and artificial intelligence learning algorithms) to explore collective dynamics in three very specific domains that, hopefully, allow us to contribute to the wide challenge of understanding cooperation. First, we explore which social norms – here the rules that classify behaviours as good or bad – are able to promote cooperation. The formal link between social norms and cooperation is established with models of indirect reciprocity (IR). IR models comprise individuals who adopt heuristics for deciding to cooperate or defect based on reputations that spread in a population after each interaction. Second, we will explore cooperation in the context of multiplayer ultimatum games where, besides dealing with a continuous strategy space, we consider group interactions in which individuals can jointly sacrifice their earnings to immediately punish selfish opponents. Third, we will explore the scenario of asymmetric games of cooperation. These are useful to model the multi-sectorial interactions that occur in our society, for instance, when public, private and civil agents take part in socio-political dilemmas.

Prova de Dissertação do MEIC-A

24 Julho 2017, 15:36 - Maria da Glória Pires Garcia Dias

Candidato: Nuno Ricardo Gomes Pires (75910)

Título da Dissertação: Análise e Visualização de Incidências de Doenças Transmissíveis

Data: 26 de julho de 2017

Hora: 14:30h

Local: Sala de Reuniões Porta 0.20, Pavilhão de Informática II - IST - Alameda

Orientação: Prof. Vasco Miguel Gomes Nunes Manquinho

Candidato: João Pedro Mateus Alexandre (73754)

Título da Dissertação: Automatic generation of test cases for Massive Open Online Courses (MOOCs)

Data: 28 de julho de 2017

Hora: 10:00h

Local: Sala de Reuniões Porta 0.20, Pavilhão de Informática II - IST - Alameda

Orientação: Prof. Vasco Miguel Gomes Nunes Manquinho

Prova de Dissertação do MEIC-T

19 Julho 2017, 11:33 - Maria da Glória Pires Garcia Dias

Candidato: André Filipe Cruz Fonseca (84977)

Título da Dissertação: Enclothed Cognition in Virtual Worlds

Data: 26 de julho de 2017

Hora: 9:00h

Sala de Reuniões Porta 0.20, Pavilhão de Informática II - IST - Alameda

Orientação: Prof. Carlos António Roque Martinho

Candidato: Samuel Simão Canada Gomes (76415)

Título da Dissertação: Application and Design of GPU Parallel RRT for Racing Car Simulation

Data: 26 de julho de 2017

Hora: 10:30h

Local: Sala de Reuniões Porta 0.20, Pavilhão de Informática II - IST - Alameda

Orientação: Prof.João Miguel de Sousa de Assis Dias / Prof. Carlos António Roque Martinho


Prova de CAT

3 Julho 2017, 17:42 - Fátima Sampaio

Candidate: Luís Filipe Nobre Horta Baptista Garcia N.º 60957/D

Title: Toward a Context-Aware Augmentative and Alternative Communication System with Vocabulary Prediction for the European Portuguese

Date: 07/07/2017

Time: 11h30

Location: Sala 0.20, INESC-ID

Advisors: Professor Luís Miguel Veiga Vaz Caldas de Oliveira / Professor David Manuel Martins de Matos

Abstract: Persons who rely on Augmentative and Alternative Communication (AAC) systems to communicate, face many difficulties when they try to maintain a dialog, in part because of the poor output rates offered by current systems. To minimize this problem, in this PhD we propose applying the whole utterance approach to vocabulary prediction. One of the techniques we propose to study is sentence prediction, a technique that may complement word prediction to assist users compose their messages faster. We are also interested in studying counterpart techniques for AAC users who communicate with pictograms, namely single pictogram prediction and pictogram sentence prediction. In addition, since prediction of sentences seems to be a very context-dependent process, we also propose to evaluate use of context-awareness to improve prediction results. To test this approach we created several real AAC solutions with the collaboration of rehabilitation professionals. Results from user tests, and software emulations, carried out until the present moment, showed interesting improvements in words per minute and keystroke savings.

Prova de Dissertação do MEIC-A

30 Junho 2017, 10:57 - Elisabete Ribeiro da Fonseca

Candidato: João Pedro Eduardo (79466)

Título da Dissertação: Cloud Governamental Como um Serviço Partilhado: Uma Arquitetura de Referência para a Administração Pública

Data: 03 de Julho de 2017

Hora: 13h00

Local: Sala de Reuniões 0.17 - sala Polivalente do Pavilhão de Informática II - IST-Alameda

Orientação: Professor André Ferreira Ferrão Couto e Vasconcelos