Automated Fictional Ideation via Knowledge Base Manipulation

التفاصيل البيبلوغرافية
العنوان: Automated Fictional Ideation via Knowledge Base Manipulation
المؤلفون: Rose Hepworth, Jeremy Gow, Simon Colton, Maria Teresa Llano
المصدر: Cognitive Computation
بيانات النشر: Springer Science and Business Media LLC, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Computational creativity, Commonsense knowledge, Process (engineering), Computer science, Cognitive Neuroscience, Judgement, Inference, 02 engineering and technology, computer.software_genre, Article, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Knowledge bases, business.industry, Rank (computer programming), Fictional ideation, Computer Science Applications, Knowledge base, Chaining, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer, Natural language processing
الوصف: The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the computational creativity community. We present here a general approach to automated fictional ideation that works by manipulating facts specified in knowledge bases. More specifically, we specify a number of constructions which, by altering and combining facts from a knowledge base, result in the generation of fictions. Moreover, we present an instantiation of these constructions through the use of ConceptNet, a database of common sense knowledge. In order to evaluate the success of these constructions, we present a curation analysis that calculates the proportion of ideas which pass a typicality judgement. We further evaluate the output of this approach through a crowd-sourcing experiment in which participants were asked to rank ideas. We found a positive correlation between the participant’s rankings and a chaining inference technique that automatically assesses the value of the fictions generated through our approach. We believe that these results show that this approach constitutes a firm basis for automated fictional ideation with evaluative capacity.
وصف الملف: application/pdf
تدمد: 1866-9964
1866-9956
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5635c941dedd485cadf66295b81dc88
https://doi.org/10.1007/s12559-015-9366-4
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....f5635c941dedd485cadf66295b81dc88
قاعدة البيانات: OpenAIRE