William Gaddis's aesthetics of recognitions

William Gaddis’s The Recognitions (1955) is a selfreflexive novel that portrays Wyatt Gwyon’s trajectory from childhood to maturity, as he rejects and searches for originality. The present work bestows an analysis of William Gaddis’s The Recognitions focusing on the problematization of originality and authorship proposed by the novel by means of the central issues of forgery and plagiarism, which bring with them two larger and more important sister-notions: authorship and originality. The novel questions the prevailing demand for originality and discusses the possibility of being original. It formulates an aesthetics of recognitions defended in the novel and used by the author in the making of this text. In order to do that, this work provides a view on the different concepts associated with the terms originality and original, as well as some of the main infringements related to them in contemporary society. It also offers an account of the development of the concepts of originality and authorship in Western society, showing the growing importance of the figure of the author and the parallel development of the concepts of plagiarism and copyright. The next three chapters are dedicated to attempt to provide an account of William Gaddis’s The Recognitions focusing on the main artist characters and an analysis of the novel in the light of the theoretical and historical background provided. The first of these chapters focuses on Wyatt’s trajectory and his visions of art. The second identifies and analyses Wyatt’s mirrors in the narrative, which reinforce the self-reflective structure of the novel. And the third chapter exemplifies and analyses Wyatt’s aesthetics of recognitions, which turns out to be Gaddis’s own aesthetics in the making of his fiction.

A BDI-based approach for the assessment of driver's decision-making in commuter scenarios

The rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.