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There are multiple and complex relationships between royalty and tourism which have received little attention in the academic literature. This book draws on historical, sociological and cultural perspectives in its collection of chapters that examine the royal tourism phenomenon in several international and theoretical contexts. Authors in this volume examine for example: the history, development and trajectories of 'royal tourism'; 'royal tourism' and national identities; the interpretation of royalty to tourists; the image(s) and representations of 'royal tourism'; tourist perceptions of...

The questions that drive Priscilla Long's Fire and Stone are the questions asked by the painter Paul Gauguin in the title of his 1897 painting: Where Do We Come From? What Are We? Where Are We Going? These questions look beyond everyday trivialities to ponder the essence of our origins.

Using her own story as a touchstone, Long explores our human roots and how they shape who we are today. Her personal history encompasses childhood as an identical twin on a dairy farm on the Eastern Shore of Maryland; the turmoil, social change, and music of the 1960s; the suicide of a...

This book focuses on the theoretical, policy and practice linkages and disjunctures between tourism and the creative industries. There are clear and strong intersections between the sectors, for example in the development and application of new and emerging media in tourism; festivals and cultural events showcasing the creative identity of place; tours and place identities associated with film, TV, music and arts tourism; as well as particular destinations being promoted on the basis of their creative endowments such as theatre breaks, art exhibitions and fashion shows.

Tourism and the...

This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006.

The 24 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 53 submissions. The papers are dedicated to the theoretical foundations of machine learning.