***** To join INSNA, visit http://www.insna.org ***** See some of you at the ASAs - in Montreal. Who's going? Barry Wellman A vision is just a vision if it's only in your head Step by step, link by link, putting it together Streisand/Sondheim _______________________________________________________________________ NetLab Network FRSC INSNA Founder http://www.chass.utoronto.ca/~wellman twitter: @barrywellman NETWORKED: The New Social Operating System Lee Rainie & Barry Wellman http://amzn.to/zXZg39 _______________________________________________________________________ ---------- Forwarded message ---------- Date: Mon, 7 Aug 2017 11:02:55 +0000 From: "[utf-8] Complexity Digest" <[log in to unmask]> Reply-To: [log in to unmask] To: "[utf-8] Barry" <[log in to unmask]> Subject: [utf-8] Latest Complexity Digest Posts Learn about the latest and greatest related to complex systems research. More at http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=d1a1a5b824&e=55e25a0e3e Thinking in Eigenbehaviors as a Transdisciplinary Approach http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=10e187673d&e=55e25a0e3e Context: By proposing to regard objects as ˙˙tokens for eigenbehavior,˙˙ von Foerster˙˙s seminal paper opposes the intuitive subject-object dualism of traditional philosophy, which considers objects to be instances of an external world Problem: We argue that this proposal has two implications, one for epistemology and one for the demarcation between the natural sciences and the humanities. Method: Our arguments are based on insights gained in computational models and from reviewing the contributions to this special issue. Results: Epistemologically, von Foerster˙˙s proposal suggests that what is called ˙˙reality˙˙ could be seen as an ensemble of eigenforms generated by the eigenbehavior that arises in the interaction of multiple dynamics. Regarding science, the contributions to this special issue demonstrate that the concept of eigenbehavior can be applied to a variety of disciplines from the formal and natural sciences to the humanities. Its universal applicability provides a strong argument for transdisciplinarity, and its emphasis on the observer points in the direction of an observer-inclusive science. Implications: Thinking in eigenbehavior may not only have implications for tearing down the barriers between sciences and humanities (although a common methodology based on von Foerster˙˙s transdisciplinary approach is still to crystalize), a better understanding of eigenbehaviors may also have profound effects on our understanding of ourselves. This also opens the way to innovative behavior design/modification technologies. Thinking in Eigenbehaviors as a Transdisciplinary Approach Manfred Füllsack & Alexander Riegler Constructivist Foundations 12(3): 239˙˙245 Source: www.univie.ac.at (http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6b4186d451&e=55e25a0e3e) The scientists˙˙ apprentice (How AI is transforming science) Big data has met its match. In field after field, the ability to collect data has exploded, overwhelming human insight and analysis. But the computing advances that helped deliver the data have also conjured powerful new tools for making sense of it all. In a revolution that extends across much of science, researchers are unleashing artificial intelligence (AI), often in the form of artificial neural networks, on these mountains of data. Unlike earlier attempts at AI, such ˙˙deep learning˙˙ systems don˙˙t need to be programmed with a human expert˙˙s knowledge. Instead, they learn on their own, often from large training data sets, until they can see patterns and spot anomalies in data sets far larger and messier than human beings can cope with. The scientists' apprentice Tim Appenzeller Science 07 Jul 2017: Vol. 357, Issue 6346, pp. 16-17 DOI: 10.1126/science.357.6346.16 Source: science.sciencemag.org (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=be96b29ba1&e=55e25a0e3e) The strange topology that is reshaping physics http://unam.us4.list-manage2.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=aca9c2120d&e=55e25a0e3e Topological effects might be hiding inside perfectly ordinary materials, waiting to reveal bizarre new particles or bolster quantum computing. Source: www.nature.com (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=49214f1939&e=55e25a0e3e) When the Map Is Better Than the Territory http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=f721f486b5&e=55e25a0e3e The causal structure of any system can be analyzed at a multitude of spatial and temporal scales. It has long been thought that while higher scale (macro) descriptions may be useful to observers, they are at best a compressed description and at worse leave out critical information and causal relationships. However, recent research applying information theory to causal analysis has shown that the causal structure of some systems can actually come into focus and be more informative at a macroscale. That is, a macroscale description of a system (a map) can be more informative than a fully detailed microscale description of the system (the territory). This has been called ˙˙causal emergence.˙˙ While causal emergence may at first seem counterintuitive, this paper grounds the phenomenon in a classic concept from information theory: Shannon˙˙s discovery of the channel capacity. I argue that systems have a particular causal capacity, and that different descriptions of those systems take advantage of that capacity to various degrees. For some systems, only macroscale descriptions use the full causal capacity. These macroscales can either be coarse-grains, or may leave variables and states out of the model (exogenous, or ˙˙black boxed˙˙) in various ways, which can improve the efficacy and informativeness via the same mathematical principles of how error-correcting codes take advantage of an information channel˙˙s capacity. The causal capacity of a system can approach the channel capacity as more and different kinds of macroscales are considered. Ultimately, this provides a general framework for understanding how the causal structure of some systems cannot be fully captured by even the most detailed microscale description When the Map Is Better Than the Territory Erik P. Hoel Entropy 2017, 19(5), 188; doi:10.3390/e19050188 Source: www.mdpi.com (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6c33be7c57&e=55e25a0e3e) Complexities of Time http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6c9781248b&e=55e25a0e3e This 7th Complexity Conference, organised by Para Limes˙˙ (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=97a7537f79&e=55e25a0e3e) attempts to unravel these mysteries. It will also touches on the nature of time and change, geographical, geophysical, cultural, the personal dimensions to time; how to deal with them and what they mean for analyzing and understanding our past, sensing and exploring our future and how to manage our lives, our systems, or the world we live in. Hear them out from top-notch speakers of prominent scientists and thinkers from this field The conference will also host parallel & poster sessions and launch of the Asian Network of Complexity Scientists by the Complexity Institute. Thus is a partnership of the Para Limes and Complexity Institute.˙˙ Complexity Conference 2018 Theme: Complexities of Time ˙˙Date: 19-21 March 2018 Venue: Nanyan˙˙g Executive Centre, Singapore˙˙˙˙ Source: www.complexity.ntu.edu.sg (http://unam.us4.list-manage1.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=536417d71b&e=55e25a0e3e) ============================================== Sponsored by the Complex Systems Society. Founding Editor: Gottfried Mayer. Editor-in-Chief: Carlos Gershenson. You can contribute to Complexity Digest selecting one of our topics (http://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=f35915d24f&e=55e25a0e3e ) and using the "Suggest" button. ============================================== ============================================== _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.