Dynamics on expanding spaces: modeling the emergence of novelties
arXiv:1701.00994 · doi:10.1007/978-3-319-24403-7_5
Abstract
Novelties are part of our daily lives. We constantly adopt new technologies, conceive new ideas, meet new people, experiment with new situations. Occasionally, we as individuals, in a complicated cognitive and sometimes fortuitous process, come up with something that is not only new to us, but to our entire society so that what is a personal novelty can turn into an innovation at a global level. Innovations occur throughout social, biological and technological systems and, though we perceive them as a very natural ingredient of our human experience, little is known about the processes determining their emergence. Still the statistical occurrence of innovations shows striking regularities that represent a starting point to get a deeper insight in the whole phenomenology. This paper represents a small step in that direction, focusing on reviewing the scientific attempts to effectively model the emergence of the new and its regularities, with an emphasis on more recent contributions: from the plain Simon's model tracing back to the 1950s, to the newest model of Polya's urn with triggering of one novelty by another. What seems to be key in the successful modelling schemes proposed so far is the idea of looking at evolution as a path in a complex space, physical, conceptual, biological, technological, whose structure and topology get continuously reshaped and expanded by the occurrence of the new. Mathematically it is very interesting to look at the consequences of the interplay between the "actual" and the "possible" and this is the aim of this short review.
arXiv comment25 pages, 10 figures
References in corpus (8)
- Emergence of scaling in random networks
- Power laws, Pareto distributions and Zipf's law
- Evolution of reference networks with aging
- Collaborative Tagging and Semiotic Dynamics
- Zipf's Law Leads to Heaps' Law: Analyzing Their Relation in Finite-Size Systems
- Understanding scaling through history-dependent processes with collapsing sample space
- A Yule-Simon process with memory
- Schumpeterian economic dynamics as a quantifiable minimum model of evolution
Cited by in corpus (14)
- Quantifying dynamics of failure across science, startups, and security
- Zipf's, Heaps' and Taylor's laws are determined by the expansion into the adjacent possible
- Evolution and structure of technological systems - An innovation output network
- The exploration of the Adjacent Possible explains the emergence and evolution of social networks
- The Beneficial Role of Mobility for the Emergence of Innovation
- Bibliometric Approximation of a Scientific Specialty by Combining Key Sources, Title Words, Authors and References
- Complexity of products: the effect of data regularisation
- Scaling Laws for Function Diversity and Specialization Across Socioeconomic and Biological Complex Systems
- On the dual nature of adoption processes in complex networks
- The mathematical structure of innovation
- Modelling Singularities in Macroevolution
- Scaling in simple continued fraction
- Long-run patterns in the discovery of the adjacent possible
- Power Accretion in Social Systems