Tony Veale – författare

The world of Twitterbots, from botdom''s greatest hits to bot construction to the place of the bot in the social media universe.

Twitter offers a unique medium for creativity and curiosity for humans and machines. The tweets of Twitterbots, autonomous software systems that send messages of their own composition into the Twittersphere, mingle with the tweets of human creators; the next person to follow you on Twitter or to “like” your tweets may not a person at all. The next generator of content that you follow on Twitter may also be a bot. This book examines the world of Twitterbots, from botdom''s greatest hits to the hows and whys of bot-building to the place of bots in the social media landscape.

In Twitterbots, Tony Veale and Mike Cook examine not only the technical challenges of bending the affordances of Twitter to the implementation of your own Twitterbots but also the greater knowledge-engineering challenge of building bots that can craft witty, provocative, and concise outputs of their own. Veale and Cook offer a guided tour of some of Twitter''s most notable bots, from the deadpan @big_ben_clock, which tweets a series of BONGs every hour to mark the time, to the delightful  @pentametron, which finds and pairs tweets that can be read in iambic pentameter, to the disaster of Microsoft''s @TayAndYou (which “learned” conspiracy theories, racism, and extreme politics from other tweets). They explain how to navigate Twitter''s software interfaces to program your own Twitterbots in Java, keeping the technical details to a minimum and focusing on the creative implications of bots and their generative worlds. Every Twitterbot, they argue, is a thought experiment given digital form; each embodies a hypothesis about the nature of meaning making and creativity that encourages its followers to become willing test subjects and eager consumers of automated creation.

Some bots are as malevolent as their authors. Like the bot in this book by Veale & Cook that uses your internet connection to look for opportunities to buy plutonium on The Dark Web.”—@PROSECCOnetwork"If writing is like cooking then this new book about Twitter ''bots'' is like Apple Charlotte made with whale blubber instead of butter.”—@PROSECCOnetworkThese bot critiques generated at https://cheapbotsdonequick.com/source/PROSECCOnetwork

Creativity is a highly-prized quality in any modern endeavor, whether artistic, scientific or professional. Though a much-studied subject, and the topic of a great many case-studies, the field of creativity research is still very much an open one. Creativity remains a field where absolute definitions hold very little water, and where true insight can only emerge when we properly appreciate - from a nuanced, multi-disciplinary perspective - the crucial distinction between the producer''s perspective and the consumer''s perspective. Theories that afford us a critical appreciation of a creative work do not similarly afford a explanatory insight into the origins and development of the work. As researchers, we must approach creativity both as producers - to consider the vast search-spaces that a producer encounters, and to appreciate the need for heuristic strategies for negotiating this space - and as consumers, to appreciate the levels of shared knowledge (foreground and background) that is exploited by the producer to achieve a knowingly creative effect in the mind of the consumer. This volume thus brings together both producers and consumers in a cross-disciplinary exploration of this complex, many-faceted phenomenon.

To what extent can Cognitive Linguistics benefit from the systematic study of a creative phenomenon like humor? Although the authors in this volume approach this question from different perspectives, they share the profound belief that humorous data may provide a unique insight into the complex interplay of quantitative and qualitative aspects of meaning construction.

To what extent can Cognitive Linguistics benefit from the systematic study of a creative phenomenon like humor? Although the authors in this volume approach this question from different perspectives, they share the profound belief that humorous data may provide a unique insight into the complex interplay of quantitative and qualitative aspects of meaning construction.

Computational creativity is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, if produced by a human, be considered creative. This book is intended to be a canonical text for this new discipline, through which researchers and students can absorb the philosophy of the field and learn its methods. After a comprehensive introduction to the idea of systematizing creativity the contributions address topics such as autonomous intentionality, conceptual blending, literature mining, computational design, models of novelty, evaluating progress in related research, computer-supported human creativity and human-supported computer creativity, common-sense knowledge, and models of social creativity.

Products of this research will have real consequences for the worlds of entertainment, culture, science, education, design, and art, in addition to artificial intelligence, and the book will be of value to practitioners and students in all these domains.