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* Philippe Pasquier, Adam Burnett and James Maxwell: Investigating Listener Bias Against Musical Metacreativity. In: [[Computational Creativity 2016 ICCC 2016]], 42-51, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Investigating-Listener-Bias-Against-Musical-Metacreativity.pdf | * Philippe Pasquier, Adam Burnett and James Maxwell: Investigating Listener Bias Against Musical Metacreativity. In: [[Computational Creativity 2016 ICCC 2016]], 42-51, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Investigating-Listener-Bias-Against-Musical-Metacreativity.pdf | ||
| − | * Debarun Bhattacharjya: [[Preference Models for Creative Artifacts and Systems]]. In: | + | * Debarun Bhattacharjya: [[Preference Models for Creative Artifacts and Systems]]. In: [[Computational Creativity 2016 ICCC 2016]], 52-59, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Preference-Models-for-Creative-Artifacts-and-Systems.pdf |
* Carolyn Lamb, Daniel Brown and Charles Clarke: Evaluating digital poetry: Insights from the CAT. In: [[Computational Creativity 2016 ICCC 2016]], 60-67, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Evaluating-digital-poetry.pdf | * Carolyn Lamb, Daniel Brown and Charles Clarke: Evaluating digital poetry: Insights from the CAT. In: [[Computational Creativity 2016 ICCC 2016]], 60-67, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Evaluating-digital-poetry.pdf | ||
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* Graeme McCaig, Steve Dipaola and Liane Gabora: [[Deep Convolutional Networks as Models of Generalization and Blending within Visual Creativity]]. In: [[Computational Creativity 2016 ICCC 2016]], 156-163, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Deep-Convolutional-Networks-as-Models-of-Generalization-and-Blending.pdf | * Graeme McCaig, Steve Dipaola and Liane Gabora: [[Deep Convolutional Networks as Models of Generalization and Blending within Visual Creativity]]. In: [[Computational Creativity 2016 ICCC 2016]], 156-163, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Deep-Convolutional-Networks-as-Models-of-Generalization-and-Blending.pdf | ||
| − | * Joao Correia, Tiago Martins, Pedro Martins and Penousal Machado: [[X-Faces: The eXploit Is Out There. In: [[Computational Creativity 2016 ICCC 2016]], 164-171, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/X-Faces-The-eXploit-Is-Out-There.pdf | + | * Joao Correia, Tiago Martins, Pedro Martins and Penousal Machado: [[X-Faces: The eXploit Is Out There]]. In: [[Computational Creativity 2016 ICCC 2016]], 164-171, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/X-Faces-The-eXploit-Is-Out-There.pdf |
* Derrall Heath and Dan Ventura: [[Before A Computer Can Draw, It Must First Learn To See]]. In: [[Computational Creativity 2016 ICCC 2016]], 172-179, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Before-A-Computer-Can-Draw-It-Must-First-Learn-To-See.pdf | * Derrall Heath and Dan Ventura: [[Before A Computer Can Draw, It Must First Learn To See]]. In: [[Computational Creativity 2016 ICCC 2016]], 172-179, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Before-A-Computer-Can-Draw-It-Must-First-Learn-To-See.pdf | ||
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* Joel Lehman, Sebastian Risi and Jeff Clune: [[Creative Generation of 3D Objects with Deep Learning and Innovation Engines]]. In: [[Computational Creativity 2016 ICCC 2016]], 180-187, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Creative-Generation-of-3D-Objects-with-Deep-Learning-and-Innovation-Engines.pdf | * Joel Lehman, Sebastian Risi and Jeff Clune: [[Creative Generation of 3D Objects with Deep Learning and Innovation Engines]]. In: [[Computational Creativity 2016 ICCC 2016]], 180-187, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Creative-Generation-of-3D-Objects-with-Deep-Learning-and-Innovation-Engines.pdf | ||
| − | * Kazakci, Mehdi Cherti and Balazs Kegl: [[Digits that are not: Generating new types through deep neural nets]]. In: [[Computational Creativity 2016 ICCC 2016]], 188-195, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Digits-that-are-not.pdf | + | * Akın Kazakci, Mehdi Cherti and Balazs Kegl: [[Digits that are not: Generating new types through deep neural nets]]. In: [[Computational Creativity 2016 ICCC 2016]], 188-195, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Digits-that-are-not.pdf |
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* Roberto Confalonieri, Enric Plaza and Marco Schorlemmer: A Process Model for Concept Invention. In: [[Computational Creativity 2016 ICCC 2016]], 338-345, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/A-Process-Model-for-Concept-Invention.pdf | * Roberto Confalonieri, Enric Plaza and Marco Schorlemmer: A Process Model for Concept Invention. In: [[Computational Creativity 2016 ICCC 2016]], 338-345, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/A-Process-Model-for-Concept-Invention.pdf | ||
| − | * Pedro Martins, Senja Pollak, Tanja Urbancic and Amilcar Cardoso: Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? In: [[Computational Creativity 2016 ICCC 2016]], 346-353, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Optimality-Principles-in-Computational-Approaches-to-Conceptual-Blending.pdf | + | * Pedro Martins, Senja Pollak, Tanja Urbancic and Amilcar Cardoso: [[Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All?]] In: [[Computational Creativity 2016 ICCC 2016]], 346-353, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Optimality-Principles-in-Computational-Approaches-to-Conceptual-Blending.pdf |
* Matthew Guzdial and Mark Riedl: Learning to Blend Computer Game Levels. In: [[Computational Creativity 2016 ICCC 2016]], 354-361, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Learning-to-Blend-Computer-Game-Levels.pdf | * Matthew Guzdial and Mark Riedl: Learning to Blend Computer Game Levels. In: [[Computational Creativity 2016 ICCC 2016]], 354-361, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Learning-to-Blend-Computer-Game-Levels.pdf | ||
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'''Software Platforms''' | '''Software Platforms''' | ||
| − | * John Charnley, Simon Colton, Maria Teresa Llano Rodriguez and Joseph Corneli: The FloWr Online Platform: Automated Programming and Computational Creativity as a Service. In: [[Computational Creativity 2016 ICCC 2016]], 363-370, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/The-FloWr-Online-Platform.pdf | + | * John Charnley, Simon Colton, Maria Teresa Llano Rodriguez and Joseph Corneli: [[The FloWr Online Platform: Automated Programming and Computational Creativity as a Service]]. In: [[Computational Creativity 2016 ICCC 2016]], 363-370, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/The-FloWr-Online-Platform.pdf |
| − | * Martin Znidarsic, Amilcar Cardoso, Pablo Gervas, Pedro Martins, Raquel Hervas, Ana Alves, Hugo Oliveira, Ping Xiao, Simo Linkola, Hannu Toivonen, Janez Kranjc and Nada Lavrac: Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. In: [[Computational Creativity 2016 ICCC 2016]], 371-378, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Infrastructure-for-Online-Software-Composition.pdf | + | * Martin Znidarsic, Amilcar Cardoso, Pablo Gervas, Pedro Martins, Raquel Hervas, Ana Alves, Hugo Oliveira, Ping Xiao, Simo Linkola, Hannu Toivonen, Janez Kranjc and Nada Lavrac: [[Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case]]. In: [[Computational Creativity 2016 ICCC 2016]], 371-378, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Infrastructure-for-Online-Software-Composition.pdf |
Aktuelle Version vom 31. Dezember 2016, 20:33 Uhr
Inhaltsverzeichnis
Reference
François Pachet, Amilcar Cardoso, Vincent Corruble, Fiammetta Ghedini (eds.): PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL CREATIVITY 2016, Computational Creativity 2016 ICCC 2016, Paris, 27 June - 1 July. ISBN: 9782746691551
DOI
Abstract
Extended Abstract
Reviews
Bibtex
@conference{
editor = {François Pachet, Amilcar Cardoso, Vincent Corruble, Fiammetta Ghedini},
booktitle = {Proceedings of the Seventh International Conference on Computational Creativity},
series = {ICCC2016},
year = {2016},
month = {Jun-July},
location = {Paris, France},
url = {http://computationalcreativity.net/iccc2016/ http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/08/Proceedings_ICCC16.pdf http://de.evo-art.org/index.php?title=Computational_Creativity_2016_ICCC_2016 },
ISBN = {9782746691551},
publisher = {Sony CSL Paris},
keywords = {computational, creativity},
}
Table of contents
Keynote Talk
- Todd Lubart: Homo Creativus: A psychological perspective. In: Computational Creativity 2016 ICCC 2016, viii.
Search
- Simo Linkola, Tapio Takala and Hannu Toivonen: Novelty-Seeking Multi-Agent System. In: Computational Creativity 2016 ICCC 2016, 1-8, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Novelty-Seeking-Multi-Agent-Systems.pdf
- Christian Guckelsberger, Christoph Salge, Rob Saunders and Simon Colton: Supportive and Antagonistic Behaviour in Distributed Computational Creativity via Coupled Empowerment Maximisation. In: Computational Creativity 2016 ICCC 2016, 9-16, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Supportive-and-Antagonistic-Behaviour-in-Distributed-Computational-Creativity.pdf
- Dan Ventura: Mere Generation: Essential Barometer or Dated Concept?. In: Computational Creativity 2016 ICCC 2016, 17-24, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Mere-Generation.pdf
- Georgios N. Yannakakis and Antonios Liapis: Searching for Surprise. In: Computational Creativity 2016 ICCC 2016, 25-32, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Searching-for-Surprise.pdf
- Antoine Saillenfest, Jean-Louis Dessalles and Olivier Auber: Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator. In: Computational Creativity 2016 ICCC 2016, 33-40, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Role-of-Simplicity-in-Creative-Behaviour.pdf
Evaluation
- Philippe Pasquier, Adam Burnett and James Maxwell: Investigating Listener Bias Against Musical Metacreativity. In: Computational Creativity 2016 ICCC 2016, 42-51, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Investigating-Listener-Bias-Against-Musical-Metacreativity.pdf
- Debarun Bhattacharjya: Preference Models for Creative Artifacts and Systems. In: Computational Creativity 2016 ICCC 2016, 52-59, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Preference-Models-for-Creative-Artifacts-and-Systems.pdf
- Carolyn Lamb, Daniel Brown and Charles Clarke: Evaluating digital poetry: Insights from the CAT. In: Computational Creativity 2016 ICCC 2016, 60-67, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Evaluating-digital-poetry.pdf
- Celso França, Luis Fabricio Wanderley Goes, Alvaro Amorim, Rodrigo Rocha and Alysson Ribeiro Da Silva-Regent: Dependent Creativity: A Domain Independent Metric for the Assessment of Creative Artifacts. In: Computational Creativity 2016 ICCC 2016, 68-75, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Regent-Dependent-Creativity.pdf
Interaction
- Anna Kantosalo and Hannu Toivonen: Modes for Creative Human-Computer Collaboration: Alternating and Task-Divided Co-Creativity. In: Computational Creativity 2016 ICCC 2016, 77-84, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Modes-for-Creative-Human-Computer-Collaboration.pdf
- Matthew Yee-King and Mark d’Inverno: Experience Driven Design of Creative Systems. In: Computational Creativity 2016 ICCC 2016, 85-92, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Experience-Driven-Design-of-Creative-Systems.pdf
- Oliver Bown and Liam Bray: Applying Core Interaction Design Principles to Computational Creativity. In: Computational Creativity 2016 ICCC 2016, 93-98, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Applying-Core-Interaction-Design-Principles-to-Computational-Creativity.pdf
- Jon McCormack and Mark d’Inverno: Designing Improvisational Interfaces. In: Computational Creativity 2016 ICCC 2016, 98-105, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Designing-Improvisational-Interfaces.pdf
Models of Creativity
- Leonid Berov and Kai-Uwe Kuhnberger: Visual Hallucination For Computational Creation. In: Computational Creativity 2016 ICCC 2016, 107-114, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Visual-Hallucination-For-Computational-Creation.pdf
- Pietro Gravino, Bernardo Monechi, Vito D. P. Servedio, Francesca Tria and Vittorio Loreto: Crossing the horizon: exploring the adjacent possible in a cultural system. In: Computational Creativity 2016 ICCC 2016, 115-122, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Crossing-the-horizon.pdf
- Senja Pollak, Biljana Mileva Boshkoska, Dragana Miljkovic, Geraint Wiggins and Nada Lavrac: Computational Creativity Conceptualisation Grounded on ICCC Papers. In: Computational Creativity 2016 ICCC 2016, 123-130, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Conceptualisation-Grounded-on-ICCC-Papers.pdf
- Joseph Corneli: An institutional approach to computational social creativity. In: Computational Creativity 2016 ICCC 2016, 131-138, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/An-institutional-approach-to-computational-social-creativity.pdf
- Andrew R. Brown: Understanding Musical Practices as Agency Networks. In: Computational Creativity 2016 ICCC 2016, 139-146, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Understanding-Musical-Practices-as-Agency-Networks.pdf
- Mark d’Inverno and Arthur Still: A History of Creativity for Future AI Research. In: Computational Creativity 2016 ICCC 2016, 147-154, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/A-History-of-Creativity-for-Future-AI-Research.pdf
Visual Arts
- Graeme McCaig, Steve Dipaola and Liane Gabora: Deep Convolutional Networks as Models of Generalization and Blending within Visual Creativity. In: Computational Creativity 2016 ICCC 2016, 156-163, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Deep-Convolutional-Networks-as-Models-of-Generalization-and-Blending.pdf
- Joao Correia, Tiago Martins, Pedro Martins and Penousal Machado: X-Faces: The eXploit Is Out There. In: Computational Creativity 2016 ICCC 2016, 164-171, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/X-Faces-The-eXploit-Is-Out-There.pdf
- Derrall Heath and Dan Ventura: Before A Computer Can Draw, It Must First Learn To See. In: Computational Creativity 2016 ICCC 2016, 172-179, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Before-A-Computer-Can-Draw-It-Must-First-Learn-To-See.pdf
- Joel Lehman, Sebastian Risi and Jeff Clune: Creative Generation of 3D Objects with Deep Learning and Innovation Engines. In: Computational Creativity 2016 ICCC 2016, 180-187, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Creative-Generation-of-3D-Objects-with-Deep-Learning-and-Innovation-Engines.pdf
- Akın Kazakci, Mehdi Cherti and Balazs Kegl: Digits that are not: Generating new types through deep neural nets. In: Computational Creativity 2016 ICCC 2016, 188-195, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Digits-that-are-not.pdf
Narratives
- Gabriella Barros, Antonios Liapis and Julian Togelius: Murder Mystery Generation from Open Data. In: Computational Creativity 2016 ICCC 2016, 197-204, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Murder-Mystery-Generation-from-Open-Data.pdf
- Phil Lopes, Antonios Liapis and Georgios N. Yannakakis: Framing Tension for Game Generation. In: Computational Creativity 2016 ICCC 2016, 205-212, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Framing-Tension-for-Game-Generation.pdf
- Maria Teresa Llano Rodriguez, Christian Guckelsberger, Rose Hepworth, Jeremy Gow, Joseph Corneli and Simon Colton: What If A Fish Got Drunk? Exploring the Plausibility of Machine-Generated Fictions. In: Computational Creativity 2016 ICCC 2016, 213-220, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/What-If-A-Fish-Got-Drunk.pdf
Language and Text
- Paloma Galvan, Virginia Francisco, Raquel Hervas, Gonzalo Mandez and Pablo Gervas: Exploring the Role of Word Associations in the Construction of Rhetorical Figures. In: Computational Creativity 2016 ICCC 2016, 222-229, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Exploring-the-Role-ofWord-Associations-in-the-Construction-of-Rhetorical-Figures.pdf
- Ping Xiao, Khalid Alnajjar, Mark Granroth-Wilding, Kathleen Agres and Hannu Toivonen: Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. In: Computational Creativity 2016 ICCC 2016, 230-237, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Meta4meaning.pdf
- Hugo Gonçalo Oliveira, Diogo Costa and Alexandre Miguel Pinto: One does not simply produce funny memes! - Explorations on the Automatic Generation of Internet humor. In: Computational Creativity 2016 ICCC 2016, 238-245, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/One-does-not-simply-produce-funny-memes.pdf
- Hugo Gonçalo Oliveira and Ana Oliveira Alves: Poetry from Conceptual Maps - Yet Another Adaptation of PoeTryMe’s Flexible Architecture. In: Computational Creativity 2016 ICCC 2016, 246-253, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Poetry-from-Concept-Maps.pdf
- Ivan Guerrero Roman and Rafael Perez Y Perez: Analysis of the correlations between the knowledge structures of an automatic storyteller and its literary production. In: Computational Creativity 2016 ICCC 2016, 254-262, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Analysis-of-the-correlations-between-the-knowledge-structures-of-an-automatic.pdf
Structure
- Arne Eigenfeldt, Oliver Bown, Andrew Brown and Toby Gifford: Flexible Generation of Musical Form Beyond Mere Generation. In: Computational Creativity 2016 ICCC 2016, 264-271, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Flexible-Generation-of-Musical-Form.pdf
- Luka Crnkovic-Friis and Louise Crnkovic-Friis: Generative Choreography using Deep Learning. In: Computational Creativity 2016 ICCC 2016, 272-277, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Generative-Choreography-using-Deep-Learning.pdf
- Steffan Ianigro and Oliver Bown: Investigating the Musical Affordances of Continuous Time Recurrent Neural Networks. In: Computational Creativity 2016 ICCC 2016, 278-285, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Investigating-the-Musical-Affordances-of-Continuous-Time-Recurrent-Neural.pdf
- Dekai Wu: How Blue Can You Get? Learning Structural Relationships for Microtones via Continuous Stochastic Transduction Grammars. In: Computational Creativity 2016 ICCC 2016, 286-293, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/How-Blue-Can-You-Get.pdf
- Shawn Bell, Liane Gabora: A Music-generating System Based on Network Theory. In: Computational Creativity 2016 ICCC 2016, 294-301, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/A-Music-generating-System-Based-on-Network-Theory.pdf
Beyond the Fence
- Anna Jordanous: Has computational creativity successfully made it «Beyond the Fence» in musical theatre? In: Computational Creativity 2016 ICCC 2016, 303-310, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Has-computational-creativity-successfully-made-it-%E2%80%98Beyond-the-Fence%E2%80%99-in-musical.pdf
- Simon Colton, Maria Teresa Llano, Rose Hepworth, John Charnley,Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervas, Nick Collins, Bob Sturm, Tillman Weyde, Daniel Wolff and James Robert Lloyd: The «Beyond the Fence» Musical and «Computer Says Show» Documentary. In: Computational Creativity 2016 ICCC 2016, 311-320, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/The-Beyond-the-Fence-Musical-and-Computer-Says-Show-Documentary.pdf
Blending
- Claudia Elena Chirita and José Luiz Fiadeiro: Free Jazz in the Land of Algebraic Improvisation. In: Computational Creativity 2016 ICCC 2016, 322-329, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Free-Jazz-in-the-Land-of-Algebraic-Improvisation.pdf
- Maximos Kaliakatsos-Papakostas, Roberto Confalonieri, Joseph Corneli, Asterios Zacharakis and Emilios Cambouropoulos: An Argument-based Creative Assistant for Harmonic Blending. In: Computational Creativity 2016 ICCC 2016, 330-337, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/An-Argument-based-Creative-Assistant-for-Harmonic-Blending.pdf
- Roberto Confalonieri, Enric Plaza and Marco Schorlemmer: A Process Model for Concept Invention. In: Computational Creativity 2016 ICCC 2016, 338-345, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/A-Process-Model-for-Concept-Invention.pdf
- Pedro Martins, Senja Pollak, Tanja Urbancic and Amilcar Cardoso: Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? In: Computational Creativity 2016 ICCC 2016, 346-353, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Optimality-Principles-in-Computational-Approaches-to-Conceptual-Blending.pdf
- Matthew Guzdial and Mark Riedl: Learning to Blend Computer Game Levels. In: Computational Creativity 2016 ICCC 2016, 354-361, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Learning-to-Blend-Computer-Game-Levels.pdf
Software Platforms
- John Charnley, Simon Colton, Maria Teresa Llano Rodriguez and Joseph Corneli: The FloWr Online Platform: Automated Programming and Computational Creativity as a Service. In: Computational Creativity 2016 ICCC 2016, 363-370, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/The-FloWr-Online-Platform.pdf
- Martin Znidarsic, Amilcar Cardoso, Pablo Gervas, Pedro Martins, Raquel Hervas, Ana Alves, Hugo Oliveira, Ping Xiao, Simo Linkola, Hannu Toivonen, Janez Kranjc and Nada Lavrac: Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case. In: Computational Creativity 2016 ICCC 2016, 371-378, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Computational-Creativity-Infrastructure-for-Online-Software-Composition.pdf
Dance
- Kristin Carlson, Philippe Pasquier, Herbert H. Tsang, Jordon Phillips, Thecla Schiphorst and Tom Calvert: CoChoreo: A Generative Feature in iDanceForms for Creating Novel Keyframe Animation for Choreography. In: Computational Creativity 2016 ICCC 2016, 380-387, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Cochoreo.pdf
- Ignazio Infantino, Agnese Augello, Adriano Manfré, Giovanni Pilato and Filippo Vella: ROBODANZA: Live Performances of a Creative Dancing Humanoid. In: Computational Creativity 2016 ICCC 2016, 388-396, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/ROBODANZA.pdf
- Taylor Brockhoeft, Jennifer Petuch, James Bach, Emil Djerekarov, Margareta Ackerman and Gary Tyson: Interactive Augmented Reality for Dance. In: Computational Creativity 2016 ICCC 2016, 396-403, http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Interactive-Augmented-Reality-for-Dance.pdf
Links
Full Text
http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/08/Proceedings_ICCC16.pdf
