Prof. Vittorio Loreto PhD

Prof. Vittorio Loreto PhD

Sony Computer Science Laboratories Paris

My research activity is focused on complexity science and its interdisciplinary applications. Along the past years, I have been active in several fields from granular media, to complexity and information theory, from social dynamics to sustainability. My very recent KREYON project ( concerned “Unfolding the dynamics of creativity, novelties and innovation”. In this context, I am interested in understanding and modelling how the “new” enters our lives in its multiform instantiations: personal novelties or global innovation. To this end I’m blending, in a unitary interdisciplinary effort, three main activities: web-based experiments, data science and theoretical modeling. Key to this endeavor is to grasp the structure and the dynamics of the “space of possibilities” in order to come up with a solid mathematical modelling of the way systems – biological, technological, social – explore the new at the individual and collective levels. Exploiting the knowledge of the way the space of possibilities is explored can be helpful to conceive the next generation of Artificial Intelligent algorithms able to cope with the occurrence of novelties, bridging in this way the gap between inference and unanticipated events.

Exploring the adjacent possible: new directions in the investigation of the new

Creativity and innovation are key elements in many different areas and disciplines since they represent the primary motor to explore new solutions in ever-changing and unpredictable environments. New biological traits and functions, new technological artefacts, new social, linguistic and cultural structures, new meanings, are very often triggered by the mutated external conditions. Unfortunately the detailed mechanisms through which humans, societies and nature express their creativity and innovate are largely unknown. The common intuition that one new thing often leads to another is captured, mathematically, by the notion of adjacent possible, introduced by Stuart Kauffman. Originally introduced in the framework of biology, the adjacent possible metaphor already expanded its scope to include all those things (ideas, linguistic structures, concepts, molecules, genomes, technological artefacts, etc.) that are one step away from what actually exists, and hence can arise from incremental modifications and recombination of existing material. In this talk I’ll present a mathematical framework, describing the expansion of the adjacent possible, whose predictions are borne out in several data sets drawn from social and technological systems. Finally I’ll discuss how games could represent a extraordinary framework to experimentally investigate basic mechanisms at play whenever we learn, create and innovate. I’ll present a few examples recently developed in the framework of the KREYON project (