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Publicações

Publicações por LIAAD

2022

The power of voting and corruption cycles

Autores
Accinelli, E; Martins, F; Pinto, AA; Afsar, A; Oliveira, BMPM;

Publicação
JOURNAL OF MATHEMATICAL SOCIOLOGY

Abstract
We introduce an evolutionary dynamical model for corruption in a democratic state describing the interactions between citizens, government and officials, where the voting power of the citizens is the main mechanism to control corruption. Three main scenarios for the evolution of corruption emerge depending on the efficiency of the institutions and the social, political, and economic characteristics of the State. Efficient institutions can create a corruption intolerant self-reinforcing mechanism. The lack of political choices, weaknesses of institutions and vote buying can create a self-reinforcing mechanism of corruption. The ambition of the rulers can induce high levels of corruption that can be fought by the voting power of the citizens creating corruption cycles.

2022

A Note on Type-Symmetries in Finite Games

Autores
Soeiro, R; Pinto, AA;

Publicação
MATHEMATICS

Abstract
In two-action generalized polymatrix games, Nash equilibria are support-type-symmetric, i.e., determined by supports for each type of player. We show that such a property does not generalize straightforwardly for games with at least three actions or where interaction weights have different signs (neither all positive nor negative). A non-trivial condition on interaction weights must be satisfied, which may go unnoticed as it is trivially satisfied for: (i) two-action games, (ii) conformity games, and (iii) congestion games. We derive this condition and the corresponding simplified analytic equation for mixed strategies.

2022

The basins of attraction in the generalized Baliga-Maskin public good model

Autores
Accinelli, E; Martins, F; Pinto, AA;

Publicação
JOURNAL OF EVOLUTIONARY ECONOMICS

Abstract
We study an evolutionary dynamics for the contributions by agents to a common/public good in a generalized version of Baliga and Maskin's environmental protection model. The dynamical equilibria consist of three scenarios: a single agent contributing to preserve the good with its optimal contribution level, and all the other agents being free-riders: a group of agents with the same optimal contribution level contributing to preserve the good, and all the other agents being free-riders; one where no agents contribute. The dynamics of the contributions can be complex but we prove that each trajectory converges to the equilibrium associated to the single agent (or group of agents) with the highest preference for the good that are contributing since the beginning. We note that while the aggregate contribution is below the optimal contribution level of the agent with the smallest preference for the good, then the aggregate contribution is increasing and there is no free-riding. Hence, if the optimal contribution level of the agent with the smallest preference is enough to not exhaust the good too quickly and the optimal contribution level of the agent with the greatest preference is enough to preserve the good, then, in spite of the appearance of free-riding in the contributions, the good might not be exhausted.

2022

Factors associated to BMl Loss among patients submitted to bariatric surgery

Autores
Folzi, Camilla; Barc, Mariana; Valado, Vanessa; Magalhães, Maria; Poínhos, Rui; Oliveira, Bruno M P M; Correia, Flora; Centro de Responsabilidade Integrado da Obesidade3;

Publicação

Abstract

2022

Ingestão e determinantes da escolha alimentar em doentes submetidos a cirurgia bariátrica

Autores
Magalhães, Maria; Barc, Mariana; Valado, Vanessa; Folzi, Camilla; Poínhos, Rui; Oliveira, Bruno M P M; Centro de Responsabilidade Integrado da; Correia, Flora;

Publicação

Abstract

2022

Greening a Post-Industrial City: Applying Keyword Extractor Methods to Monitor a Fast-Changing Environmental Narrative

Autores
Luria, S; Campos, R;

Publicação
Unlocking Environmental Narratives: Towards Understanding Human Environment Interactions through Computational Text Analysis

Abstract

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