Relevant content for the tag: cogsci
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
Empathy Framework for Embodied Conversational Agents
Journal Article: Cognitive Systems Research, (In press) 2019
Aesthetic Judgments, Movement Perception and the Neural Architecture of the Visual System
Conference Proceedings: Biologically Inspired Cognitive Architectures Meeting, August 15, 2019 2019
pp. 538-546. DOI: https://link.springer.com/chapter/10.1007/978-3-030-25719-4_70
Seattle, USA
Springer, Cham
M-Path: A Conversational System for the Empathic Virtual Agent
Conference Proceedings: Biologically Inspired Cognitive Architectures Meeting, August 15, 2019 2019
pp. 597-607. DOI: https://link.springer.com/chapter/10.1007/978-3-030-25719-4_78
Seattle, USA
Springer, Cham
Modeling empathy: building a link between affective and cognitive processes
Journal Article: Artificial Intelligence Review, August 21, 2019 2019
pp. 1-24. DOI: https://doi.org/10.1007/s10462-019-09753-0
Springer Netherlands
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.
Portrait artists and painters in general have over centuries developed, a little understood, intuitive and open methodology that exploits cognitive mechanisms in the human perception and visual system.
Rembrandt / Vision Science Work
Using new visual computer modelling techniques, we show that artists use vision based techniques (lost and found edges, center of focus techniques) to guide the eye path of the viewer through their paintings in significant ways.
faceToolKit - A 3D Facial ToolKit
Our long range research project is a visual development system for exploring face space, both in terms of facial types and animated expressions. This development toolkit is based on a hierarchical parametric approach. This approach gives us an additive language of hierarchical expressions, emotions and lip-sync sequences.