Urban tourism in Athens: tourist myths and images

This thesis explores and analyses the mythical quality of modem Athens as experienced by tourists. It is an exploration of the tourist gaze upon the Athenian landscape, as well as an account of how tourists narrate its urban mythology. This research is largely concerned with the relationship of time and space through memory, exploring the interplay between the spatial arrangement of urban elements, temporality and the experience of the city. Athens is viewed as a city marked by a temporal collage where different historical periods are juxtaposed. This juxtaposition gives Athens the character of a deconstructed city. The city is made present through spatialised remainders, her genius loci. This thesis thus analyses the relationship between Athens past and the present, the strangely familiar and the stereotypically exotic, as interwoven within an urban landscape imagined, gazed and finally, narrated by foreign tourists. The core argument of this work is that the Athenian landscape embodies an urban mythology constructed by the nineteenth century romantic travellers: these, through their writings, fashioned the stereotypical imagery of Athens. Modem tourists are the consumers of these myths. Like their nineteenth century predecessors, tourists stroll around the city following the traces of their memory - key landmarks and symbols, recognising what they have already known; feeling nostalgic for the past -their past, fragmenting the landscape into different historic layers, depopulating it from its present inhabitants, orientalising it. In this work I explore the transmission and reinvention of the myths of Athens through guidebooks, travel brochures, guided tours and tourist photographs. The exploration of the different images of Athens as visualised by tourists leads to a discussion of gendered, orientalised, literary, photographic and cartographic aspects of the Athenian urban landscape. The theoretical framework of the thesis is based on post-modernism, post-structuralism and semiotics. My research methods have been qualitative, including both in-depth interviews and participant observation, following tourists around the city and participating in their activities. I also analysed the ways tourists 'gaze' and photograph the city. My intention is to draw -metaphorically speaking- a mental map including the sites visited, consumed and experienced by tourists

Coevolutionary fuzzy modeling

This thesis presents Fuzzy CoCo, a novel approach for system design, conducive to explaining human decisions. Based on fuzzy logic and coevolutionary computation, Fuzzy CoCo is a methodology for constructing systems able to accurately predict the outcome of a human decision-making process, while providing an understandable explanation of the underlying reasoning. Fuzzy logic provides a formal framework for constructing systems exhibiting both good numeric performance (precision) and linguistic representation (interpretability). From a numeric point of view, fuzzy systems exhibit nonlinear behavior and can handle imprecise and incomplete information. Linguistically, they represent knowledge in the form of rules, a natural way for explaining decision processes. Fuzzy modeling —meaning the construction of fuzzy systems— is an arduous task, demanding the identification of many parameters. This thesis analyses the fuzzy-modeling problem and different approaches to coping with it, focusing on evolutionary fuzzy modeling —the design of fuzzy inference systems using evolutionary algorithms— which constitutes the methodological base of my approach. In order to promote this analysis the parameters of a fuzzy system are classified into four categories: logic, structural, connective, and operational. The central contribution of this work is the use of an advanced evolutionary technique —cooperative coevolution— for dealing with the simultaneous design of connective and operational parameters. Cooperative coevolutionary fuzzy modeling succeeds in overcoming several limitations exhibited by other standard evolutionary approaches: stagnation, convergence to local optima, and computational costliness. Designing interpretable systems is a prime goal of my approach, which I study thoroughly herein. Based on a set of semantic and syntactic criteria, regarding the definition of linguistic concepts and their causal connections, I propose a number of strategies for producing more interpretable fuzzy systems. These strategies are implemented in Fuzzy CoCo, resulting in a modeling methodology providing high numeric precision, while incurring as little a loss of interpretability as possible. After testing Fuzzy CoCo on a benchmark problem —Fisher's Iris data— I successfully apply the algorithm to model the decision processes involved in two breast-cancer diagnostic problems: the WBCD problem and the Catalonia mammography interpretation problem. For the WBCD problem, Fuzzy CoCo produces systems both of high performance and high interpretability, comparable (if not better) than the best systems demonstrated to date. For the Catalonia problem, an evolved high-performance system was embedded within a web-based tool —called COBRA— for aiding radiologists in mammography interpretation. Several aspects of Fuzzy CoCo are thoroughly analyzed to provide a deeper understanding of the method. These analyses show the consistency of the results. They also help derive a stepwise guide to applying Fuzzy CoCo, and a set of qualitative relationships between some of its parameters that facilitate setting up the algorithm. Finally, this work proposes and explores preliminarily two extensions to the method: Island Fuzzy CoCo and Incremental Fuzzy CoCo, which together with the original CoCo constitute a family of coevolutionary fuzzy modeling techniques. The aim of these extensions is to guide the choice of an adequate number of rules for a given problem. While Island Fuzzy CoCo performs an extended search over different problem sizes, Incremental Fuzzy CoCo bases its search power on a mechanism of incremental evolution

Knowledge and Management Models for Sustainable Growth

In the last years sustainability has become a topic of global concern and a key issue in the strategic agenda of both business organizations and public authorities and organisations. Significant changes in business landscape, the emergence of new technology, including social media, the pressure of new social concerns, have called into question established conceptualizations of competitiveness, wealth creation and growth. New and unaddressed set of issues regarding how private and public organisations manage and invest their resources to create sustainable value have brought to light. In particular the increasing focus on environmental and social themes has suggested new dimensions to be taken into account in the value creation dynamics, both at organisations and communities level. For companies the need of integrating corporate social and environmental responsibility issues into strategy and daily business operations, pose profound challenges, which, in turn, involve numerous processes and complex decisions influenced by many stakeholders. Facing these challenges calls for the creation, use and exploitation of new knowledge as well as the development of proper management models, approaches and tools aimed to contribute to the development and realization of environmentally and socially sustainable business strategies and practices