The following text from the website of the Complex Systems Society addresses the question "What are Complex Systems?" and perfectly describes the main concept that underlies this project: "The most famous quote about Complex Systems comes from Aristole who said that 'The whole is more than the sum of its parts'. Complex systems are systems where the collective behavior of their parts entails emergence of properties that can hardly, if not at all, be inferred from properties of the parts."
We propose a geometric formalization of this concept. The complexity of a system is quantified as its deviation from the sum of its parts which is interpreted as a geometric projection. While our initial approach was based on information geometry only, the current study also applies the theory of hierarchical and, in particular, graphical models and causality theory based on Bayesian networks. This allows for an integrated analysis of the interplay of causal interactions, stochastic dependence, and complexity.
Relations to and among other approaches to complexity are studied. We are particularly interested in understanding how algorithmic notions of complexity correspond to probabilistic ones, similar to the well-known close connection between algorithmic complexity and Shannon entropy. In that context, various complexity measures for stochastic processes are related to corresponding complexities of typical process realizations, thereby identifying similarities of seemingly different concepts.
In: Geometric science of information : 4th international conference, GSI 2019, Toulouse, France, August 27-29, 2019, proceedings / Frank Nielsen... (eds.) Cham : Springer, 2019. - pp. 433-442 (Lecture notes in computer science ; 11712)
Comparison and connection between the joint and the conditional generalized iterative scaling algorithm
In: Proceedings of the 11th workshop on uncertainty processing WUPES '18, June 6-9, 2018 / Václav Kratochvíl (ed.) Praha : MatfyzPress, 2018. - pp. 105-116
Pradeep Kumar Banerjee, Johannes Rauh and Guido Montúfar
Computing the unique information
In: IEEE international symposium on information theory (ISIT) from June 17 to 22, 2018 at the Talisa Hotel in Vail, Colorado, USA Piscataway, NY : IEEE, 2018. - pp. 141-145
In: Proceedings of the 10th workshop on uncertainty processing WUPES '15, Moninec, Czech Republic, September 16-19, 2015 / Václav Kratochvíl (ed.) Praha : Oeconomica, 2015. - pp. 167-178
In: Proceedings of the 10th workshop on uncertainty processing WUPES '15, Moninec, Czech Republic, September 16-19, 2015 / Václav Kratochvíl (ed.) Praha : Oeconomica, 2015. - pp. 147-154
The MaxEnt extension of a quantum Gibbs family, convex geometry and geodesics
In: Bayesian inference and maximum entropy methods in science and engineering : (MaxEnt 2014) : Clos Lucé, Amboise, France, September 21-26 2014 / Ali Mohammad-Djafari (ed.) Melville, NY : AIP Publising, 2015. - pp. 173-180 (AIP conference proceedings ; 1641)
Johannes Rauh, Nils Bertschinger, Eckehard Olbrich and Jürgen Jost
Reconsidering unique information : towards a multivariate information decomposition
In: IEEE international symposium on information theory proceedings (ISIT) 2014 : June 29-July 4, 2014 in Honolulu, USA Piscataway, NY : IEEE, 2014. - pp. 2232-2236
In: IEEE international symposium on information theory proceedings (ISIT) 2014 : June 29-July 4, 2014 in Honolulu, USA Piscataway, NY : IEEE, 2014. - pp. 2479-2483
Nils Bertschinger, Johannes Rauh, Eckehard Olbrich and Jürgen Jost
Shared information : new insights and problems in decomposing information in complex systems
In: Proceedings of the European Conference on Complex Systems 2012 / Thomas Gilbert... (eds.) Dordrecht : Springer, 2013. - pp. 251-269 (Springer proceedings in complexity)
Non-sufficient memories that are sufficient for prediction
In: Complex sciences : first international conference, Complex 2009, Shanghai, China, February 23 - 25, 2009, revised papers. Pt. 1 / Jie Zhou (ed.) Berlin [u. a.] : Springer, 2009. - pp. 265-276 (Lecture notes of the Institute for Computer Science, Social Informatics and Telecommunications Engineering ; 4)
Nihat Ay, Eckehard Olbrich, Nils Bertschinger and Jürgen Jost
A unifying framework for complexity measures of finite systems
In: ECCS'06 : proceedings of the European Conference on Complex Systems 2006 ; towards a science of complex systems / Jürgen Jost... (eds.) Paris : European Complex Systems Society, 2006. - pp. 80-80