Our reserch group focus is on using discussions between Artifical Intelligence clones to generate creative content. Nevertheless, our focus is less on content analysis and more on the beauty of creation itself and given context by the machines. We are using a different recurrent neural network (RNN) and collective creativity approaches to support interactions between Artifical Intelligence clones and trigger a humanless creative process which should lead to unsupervised robot creativity. The robots are trained by using the publications of some of the greatest thinkers of their time such as Aristotle, Nietzsche, Machiavelli, SunTzu and confronted to the crucial questions related to humankind such as understanding of moral, aesthetic, ethic, strategy, politics etc. Throughout this robot-robot interaction model, we are trying to investigate the possibilities and consider limitations of using artificial intelligence in context-based creative processes as well as to raise questions related to potential future phenomena of machines mindfulness.

MAIN RESEARCH AREAS:

ROBOT CREATIVITY
o   AI Aesthetic
o   AI Art Practice Paradigm
o   Robot Creativity
o   AI Sentiment and Sense
HUMAN-AI INTERACTIONS
o   Human-Robot Interactions
o   Robot-Robot Interactions
o   Machine Made Created Content
o   Intelligence Interfaces
FUTURE CITIES
o   Design for Behavior Changes
o   Inclusive Design for Social Innovation
We are looking for a Software Engineer/Machine Learning to join our research group at the School of Creativity and Art. You will help build the next generation of AI Creative Clones and hybrid systems that take the best of rules based and machine learning. This position is expected to participate in the entire development process for the research group purposes. Relevant links are: www.predragnikolic.com, www.syntropic-counterpoints.com