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Innovative control strategies are needed to cope with the increasing urban traffic chaos. In most cases, the currently used strategies are based on a central traffic-responsive control system which can be demanding to implement and maintain. Therefore, a functional and spatial decentralization is desired. For this purpose, distributed artificial(More)
Agents working under real world conditions may face an environment capable of changing rapidly from one moment to the next, either through perceived faults, unexpected interactions or adversarial intrusions. To gracefully and eeciently handle such situations, the members of a multi-agent system must be able to adapt, either by evolving internal structures(More)
In modern societies the demand for mobility is increasing daily. Hence, one challenge to researchers dealing with traffic and transportation is to find efficient ways to model and predict traffic flow, even if the behaviour of people in traffic is not a trivial problem. Increasingly more people travel longer distances and choose more complex routes and(More)
In our daily lives we often have to face binary decisions where we seek to take the minority's choice, e.g., in traffic scenarios where we have to choose between similar alternative routes. We have studied agent coordination mechanisms in a binary decision model introduced in the literature recently: the Minority Game. Extending this model, we have(More)
— One way to cope with the increasing demand in transportation networks is to integrate standard solutions with more intelligent measures. This problem has been approached from different sides such as the study of the assignment of the demand in the network, and the investigation of the effects of control measures. However, given that most of these(More)
The discovery of gene regulatory networks is a major goal in the field of bioinformatics due to their relevance, for instance, in the development of new drugs and medical treatments. The idea underneath this task is to recover gene interactions in a global and simple way, identifying the most significant connections and thereby generating a model to depict(More)
One way to cope with the increasing demand in transportation networks is to integrate standard solutions with more intelligent measures. This paper discusses the effects of integrating co-evolving decision-making regarding route choices (by drivers) and control measures (by traffic lights) We use microscopic modeling and simulation, in opposition to the(More)