Open Access
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case.
Martin Znidarsic,Amílcar Cardoso,Pablo Gervás,Pedro Martins,Raquel Hervás,Ana Alves,Hugo Gonçalo Oliveira,Ping Xiao,Simo Linkola,Hannu Toivonen,Janez Kranjc,Nada Lavrač +11 more
- 01 Jun 2016
- pp 371-379
TL;DR: In this article, the authors propose an infrastructure that allows CC researchers to build workflows that can be executed online and be easily reused by others through the workflow web address, leading to novel ways of software composition for computational purposes that were not expected in advance.
read more
Abstract: Computational creativity (CC) is a multidisciplinary research field, studying how to engineer software that exhibits behavior that would reasonably be deemed creative. This paper shows how composition of software solutions in this field can effectively be supported through a CC infrastructure that supports user-friendly development of CC software components and workflows, their sharing, execution, and reuse. The infrastructure allows CC researchers to build workflows that can be executed online and be easily reused by others through the workflow web address. Moreover, it enables the building of procedures composed of software developed by different researchers from different laboratories, leading to novel ways of software composition for computational purposes that were not expected in advance. This capability is illustrated on a workflow that implements a Concept Generator prototype based on the Conceptual Blending framework. The prototype consists of a composition of modules made available as web services, and is explored and tested through experiments involving blending of texts from different domains, blending of images, and poetry generation.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A computational framework for conceptual blending
Manfred Eppe,Manfred Eppe,Ewen Maclean,Roberto Confalonieri,Roberto Confalonieri,Oliver Kutz,Marco Schorlemmer,Enric Plaza,Kai-Uwe Kühnberger +8 more
TL;DR: This framework treats a crucial part of the blending process, namely the generalisation of input concepts, as a search problem that is solved by means of modern answer set programming methods to find commonalities among input concepts.
72
Co-PoeTryMe: Interactive poetry generation
TL;DR: Some of the challenges of automatic poetry generation are illustrated, limitations of PoeTryMe are highlighted, and recent efforts to address user feedback and provide alternative ways of using this system are reported on.
18
A uniform model of computational conceptual blending
Marco Schorlemmer,Enric Plaza +1 more
TL;DR: It is proved that the amalgam-based category-theoretical model of conceptual blending is essentially equivalent to the pushout model in the ordered category of partial maps as put forward by Goguen.
17
The FloWR online platform: automated programming and computational creativity as a service
John William Charnley,Simon Colton,Maria Teresa Llano,Joseph Corneli +3 more
- 01 Jan 2016
TL;DR: The FloWr system has been migrated from a desk- top application to a web portal and the various fea- tures that the portal provides to support Computational Creativity research and development are described.
References
•Journal Article
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
•Book
The Way We Think: Conceptual Blending And The Mind's Hidden Complexities
Gilles Fauconnier,Mark Turner +1 more
- 03 Apr 2002
TL;DR: Fauconnier and Turner as discussed by the authors show that conceptual blending is the root of the cognitively modern human mind, and that conceptual blends themselves are continually combined and reblended to create the rich mental fabric in which we live.
4.3K
NLTK: The Natural Language Toolkit
Steven Bird
- 17 Jul 2006
TL;DR: The Natural Language Toolkit has been rewritten, simplifying many linguistic data structures and taking advantage of recent enhancements in the Python language.
•Book
Mental Spaces: Aspects of Meaning Construction in Natural Language
Gilles Fauconnier
- 01 Jan 1985
TL;DR: A finding that challenges several traditional and widespread views on meaning and natural language, with far-reaching implications: adequate theories of truth and reference cannot bypass the cognitive space-construction process, and standard linguistic arguments for hidden structural levels are invalidated.
1.7K
•Book
Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations
Joseph D. Novak
- 01 Jan 1998
TL;DR: For more than half a century, my students and I have sought to understand why some learners acquire a deep, meaningful understanding of materials studied, whereas others have only a superficial grasp of the information presented as mentioned in this paper.
Related Papers (5)
Oscar Nierstrasz
- 01 Oct 1995
David Jacobs,Chris Marlin +1 more
- 07 Dec 1994
Robert T. Monroe,David Garlan +1 more
- 01 Jan 1999