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Collusion and artificial intelligence : a computational experiment with sequential pricing algorithms under stochastic costs
(Universidad de San Andrés. Departamento de Economía, 2021-11)
Firms increasingly delegate their strategic decisions to algorithms. A potential concern
is that algorithms may undermine competition by leading to pricing outcomes that are
collusive, even without having been designed ...
Eleição de líder com qualidade de serviço para o modelo falha-e-recuperação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2017-05-05)
A distributed system is a set of processes and links that is desgined to provide computing power and data persistency, even on the presence of failures. To encapsulate the abstraction of time and to determine which processes ...
Um sistema de monitoramento para caracterização de algoritmos distribuídos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-02-24)
Monitoring is the act of collecting information concerning the characteristics and status of resources of interest. It can be used to the management and allocation of resources, detection and correction of failures and ...
Achieving non-malicious arbitrary fault tolerance in Paxos through hardening techniques
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-08-04)
Due to the widespread adoption of distributed systems when building applications, demand for reliability and availability has increased. These properties can be achieved through replication techniques using algorithms that ...
Agrupamento de sequências de miRNA utilizando aprendizado não-supervisionado baseado em grafos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-08-12)
Cluster analysis is the organization of a collection of patterns into clusters based on similarity
which is determined by using properties of data. Clustering techniques can be useful in a
variety of knowledge domains ...