Relevant content for the tag: neuralnets
Publications
Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways
Journal Article: Cognitive Systems Research, 2019
19 pages. DOI: https://doi.org/10.1016/j.cogsys.2019.09.012
A model for social spatial behavior in virtual characters
Journal Article: Computer Animation and Virtual Worlds Journal, 2015
Special Issue on Action Selection. Vol 15, No 1, pp 99-113, DOI: 10.1002/cav.1600
Wiley Online Library
Face, Portrait, Mask - Using a Parameterized System to Explore Synthetic Face Space
Book Chapter: Electronic Visualisation in Arts and Culture, 2013
Bowen, Keene, Ng, (Eds), pp 213-227
Springer
Experiencing Belugas: Action Selection for an Interactive Aquarium Exhibit
Journal Article: Adaptive Behavior , Special Issue on Action Selection, 2007
Vol 15, No 1, pp 99-113
Blending Science Knowledge and AI Gaming Techniques for Experiential Learning
Conference Proceedings: Canadian Game Studies Association (CGSA), 2006
8 pages
Toronto, Canada
Research
Deep Learning AI Creativity For Visuals / Words
Using Cognitive Science as a basis for our work, we attempt to model aspects of human creativity in AI. Specially we are using Neural Networks (and evolutionary systems) in the form of Deep Learning, CNNs, RNNs and other modern techniques to model aspects of human expression and creativity.
Cognitive (AI) Based Abstraction
What is abstraction? Can you use AI techniques to model the semantics of an idea, object, or entity, where that understanding allows for abstraction of the meaning? We use several AI techniques including genetic programming, Neural Nets and Deep Learning to explore abstraction in its many forms. Mainly here in the visual and narrative arts.
Virtual Beluga Project - Vancouver Aquarium
Actual screen shot from our Virtual Beluga Interactive Prototype which shows realistically swimming Beluga in a wild grouping (pod) created via 3d real-time graphics and artificial intelligence systems.