The Centre for the Study of Complexity is a multidisciplinary research unit of Babes-Bolyai University, Cluj-Napoca aiming to explore the frontiers of complexity and build the network of powerful emerging ideas.
Complex real-world problems require novel approaches able to tackle subtle aspects of emergence, auto-organization and evolution. The fundamental principles in complex physical, computational, biological, economical and social systems are intensively studied by bringing together expertise from various fields.
We are a research team working on new natural computing models in the study of complexity.
Motivation and brief description
Mastering complexity emerges as an ubiquitous problem today and a key element of the modern society. Quoting C. Brancusi one can say that simplicity is solved complexity. Generally problems from the real world are highly complex in the sense that they involve many complex (usually unpredictable) interactions, dynamically changing environment, huge dimensionality and optimization according to many contradictory criteria. Examples of specific problems include human genome analysis, climate changes and far-from-equilibrium problems. In order to cope with complexity, a shift in paradigm is imperative. Simply increasing the computing power is not a solution any more. The shifting paradigm should address two strategic concerns:
(i) the approach to large scale distributed computing and
(ii) the resulting complexity.
Nature inspired techniques in problem solving benefit from the tremendous optimizing power developed by nature. To give a single example, the circulatory system as evolved by nature has been mathematically proven to be optimal. Models of computation inspired by nature have the unique feature of evolving highly complex behaviour from simple interactions of many elements.
The main objective of this project is to explore more subtle facets of complexity than those commonly investigated by standard approaches. In order to achieve this objective, various natural computing paradigms will be investigated and engaged as a general problem solving framework.