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  • Name

    Pedro Campos
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2010
Publications

2018

An agent-based model for detection in economic networks

Authors
Brito, J; Campos, P; Leite, R;

Publication
Communications in Computer and Information Science

Abstract
The economic impact of fraud is wide and fraud can be a critical problem when the prevention procedures are not robust. In this paper we create a model to detect fraudulent transactions, and then use a classification algorithm to assess if the agent is fraud prone or not. The model (BOND) is based on the analytics of an economic network of agents of three types: individuals, businesses and financial intermediaries. From the dataset of transactions, a sliding window of rows previously aggregated per agent has been used and machine learning (classification) algorithms have been applied. Results show that it is possible to predict the behavior of agents, based on previous transactions. © 2018, Springer International Publishing AG, part of Springer Nature.

2018

Mr. Silva and patient zero: A medical social network and data visualization information system

Authors
Gonçalves, PCT; Moura, AS; Cordeiro, MNDS; Campos, P;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Detection of Patient Zero is an increasing concern in a world where fast international transports makes pandemia a Public Health issue and a social fear, in cases such as Ebola or H5N1. The development of a medical social network and data visualization information system, which would work as an interface between the patient medical data and geographical and/or social connections, could be an interesting solution, as it would allow to quickly evaluate not only individuals at risk but also the prospective geographical areas for imminent contagion. In this work we propose an ideal model, and contrast it with the status quo of present medical social networks, within the context of medical data visualization. From recent publications, it is clear that our model converges with the identified aspects of prospective medical networks, though data protection is a key concern and implementation would have to seriously consider it. © Springer Nature Switzerland AG 2018.

2016

An Agent-based Model of the Earth System & Climate Change

Authors
Baghoussi, Y; Campos, PJRM; Rossetti, RJF;

Publication
IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016)

Abstract
Simulation is a computer-based experimentation tool suitable to determine the efficacy of a previously untried decision. In this paper, we present a model of climate change. The goal behind this project is to provide a test-bed to evaluate theories related to the Earth system so as to test and evaluate metrics such as greenhouse gases and climate change in general. The proposed approach is based on a multi-agent model which has as input a representation of nature and as output the changes that will occur on Earth within a given instant of time. Most views about climate change do not take into account the real severity of the subject matter; however, the present perspective is given in a way so as to make non-experts aware of the risks that are threatening life on Earth. Just recently, the general population has developed considerable sensitivity to these issues. One important contribution of this work is to use agent-based modeling and simulation as an instructional tool that will allow people to easily understand all aspects involved in the preservation of the environment in a more aware and responsible way.

2016

Collective Intelligence and Collaboration: A Case Study in Airline Industry

Authors
Teixeira, SAC; Campos, P; Fernandes, R; Roseira, C;

Publication
COLLABORATION IN A HYPERCONNECTED WORLD

Abstract
In order to improve their competitive performance, airline companies often adopt as a strategy to establish arrangement between two or more organizations agreeing to cooperate on a substantial level. This strategy is often known as airline alliances. A paradigm to analyze the collective intelligence behavior which emerges from a group, as a strategic alliance, is the flocking behavior. Inspired by the Cucker and Smale algorithm (C-S) we propose a new version of the flocking behavior algorithm applied to airline alliances. Our goal is to understand the link between strategic alliances and flocks. For this new approach, metrics were obtained for the parameters of C-S algorithm, namely position, velocity and influence, where the latter uses cooperative games. Besides, reinforcement learning mechanisms have been explored. Some relevant outputs for airline alliances as the permanence rate and the growth rate were computed for each of the five configurations in analysis.

2015

An Agent-Based MicMac Model for Forecasting of the Portuguese Population

Authors
Fernandes, R; Campos, P; Rita Gaio, AR;

Publication
PROGRESS IN ARTIFICIAL INTELLIGENCE

Abstract
Simulation is often used to forecast human populations. In this paper we use a novel approach by combining Micro-Macro (MicMac) models into an Agent-Based perspective to simulate and forecast the behavior of the Portuguese population. The models include migrations and three scenarios corresponding to three different expected economic growth rates. We conclude that the increase in the number of emigrants leads to a reduction of the Portuguese women that are in the fertile age. This justifies the decrease of births and therefore the general decrease of the total Portuguese Population.

Supervised
thesis

2017

Search Engine Marketing: Diferenças entre nicho e não nicho.

Author
Rui Emanuel Almeida Caprichoso

Institution
UP-FEP

2017

Clivagens Digitais e a Participação Cívica e Política: Que tipo de cidadania para o século XXI

Author
João Miguel Barros Aguiar Pereira

Institution
UP-FEP

2017

Market segmentation and travelling patterns based on Tourist’s paths in the Porto Region

Author
Ana Filipa Ramos Silva

Institution
UP-FEP

2017

Centralidade e Deteção de Grupos em Redes Sociais Multilayer - Uma aplicação ao Co-Marketing

Author
Andreia Santa Marta Fernandes

Institution
UP-FEP

2017

Omni-channel Luxury Retailing: exploring luxury consumers channel practices

Author
António José Melo Abreu de Ataíde

Institution
UP-FEP