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Complex Systems Principles and Education: Focusing on Universal Principles and Individual Differences | NECSI

Complex Systems Principles and Education: Focusing on Universal Principles and Individual Differences | NECSI | Philosophy and Complexity | Scoop.it

Yaneer Bar-Yam

I will present a few perspectives on the current trends in education from the point of view of a complex systems scientist. Among the likely topics: centrally prescribed metrics and standardized testing, charter schools, and innovations in mathematics education. The discussion will be based upon analysis of complexity and scale, the substructure of neural cognition, and other relevant complex systems insights.

This talk was delivered on March 14, 2012 at the Kaput Center at the University of Massachusetts Dartmouth


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Information and Computation

In this chapter, concepts related to information and computation are reviewed in the context of human computation. A brief introduction to information theory and different types of computation is given. Two examples of human computation systems, online social networks and Wikipedia, are used to illustrate how these can be described and compared in terms of information and computation.

 

Information and Computation

Carlos Gershenson

http://arxiv.org/abs/1304.1428


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TEDxCanberra - Boho Interactive -  Chaos, complexity, balloons and bunnies

Sci­ence, art, the­atre and big com­plex prob­lems col­lide when Boho appear. They help to bring sci­ence edu­ca­tion and under­stand­ing to the wider commun... (What can an Australian theatre group teach us about complex systems?
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ScienceDirect.com - Cognitive Systems Research - Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

ScienceDirect.com - Cognitive Systems Research - Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective | Philosophy and Complexity | Scoop.it
Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective http://t.co/StMC9SyrVJ
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Episode 45: Anubav Vasudevan discusses probability and determinism – Elucidations

Episode 45: Anubav Vasudevan discusses probability and determinism – Elucidations | Philosophy and Complexity | Scoop.it
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Complex Adaptive Game Theory

Complex Adaptive Game Theory | Philosophy and Complexity | Scoop.it
As mentioned last week, a U Maine economist named Sarah Morehead had this idea : Develop an economic environment in which selfish zero-sum-game strategies are maladaptive.

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CoSMoS 2013 Complex Systems Modelling and Simulation ...

The 6th Complex Systems Modelling and Simulation (CoSMoS 2013) workshop is a 1 day satellite of the Unconventional Computation & Natural Computation (UCNC) 2013 conference, which will take place on 1-5 July 2013 ...
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“Building Confidence in Agent Based Computational Models of the Immune System” | 25 Mar 2013 | School of Research

“Building Confidence in Agent Based Computational Models of the Immune System” | 25 Mar 2013 | School of Research | Philosophy and Complexity | Scoop.it
Prof Jon Timmis - Dundee today, seminar
Building Confidence in Agent Based Computational Models of the Immune System http://t.co/bafsEvkoYz
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Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement

Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement | Philosophy and Complexity | Scoop.it

Grammatical agreement means that features associated with one linguistic unit (for example number or gender) become associated with another unit and then possibly overtly expressed, typically with morphological markers. It is one of the key mechanisms used in many languages to show that certain linguistic units within an utterance grammatically depend on each other. Agreement systems are puzzling because they can be highly complex in terms of what features they use and how they are expressed. Moreover, agreement systems have undergone considerable change in the historical evolution of languages. This article presents language game models with populations of agents in order to find out for what reasons and by what cultural processes and cognitive strategies agreement systems arise.

 

Beuls K, Steels L (2013) Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement. PLoS ONE 8(3): e58960. http://dx.doi.org/10.1371/journal.pone.0058960


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luiy's curator insight, June 28, 2013 8:34 AM

We presented here the first agent-based models to explore how and why a grammatical agreement system may originate and get culturally transmitted in a process of cultural invention and social learning, based on the hypothesis that agreement systems are useful to avoid combinatorial explosions in parsing and semantic ambiguity in interpretation. Agreement systems thus help to minimize cognitive effort and maximize communicative success. After demonstrating how formal markers could arise, we presented strategies showing how meaningful markers could originate, and how markers could become recruited from existing words. We demonstrated also how recruited words could erode to lead to greater articulatory efficiency, at a cost of giving fewer hints for new language users, and how coercion helps to apply an agreement system more broadly so that fewer agreement markers are needed.

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Modeling Complex Adaptive Systems

Series: Year of Darwin Title: Modeling Complex Adaptive Systems Recorded on October 30, 2008 in the Peter B. Lewis Bldg., Room 106. A talk for a general univ...
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Complex Adaptive Systems Modeling | Full text | Complex Adaptive Systems Modeling: A multidisciplinary Roadmap

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Networking—a statistical physics perspective

Networking encompasses a variety of tasks related to the communication of information on networks; it has a substantial economic and societal impact on a broad range of areas including transportation systems, wired and wireless communications and a range of Internet applications. As transportation and communication networks become increasingly more complex, the ever increasing demand for congestion control, higher traffic capacity, quality of service, robustness and reduced energy consumption requires new tools and methods to meet these conflicting requirements. The new methodology should serve for gaining better understanding of the properties of networking systems at the macroscopic level, as well as for the development of new principled optimization and management algorithms at the microscopic level. Methods of statistical physics seem best placed to provide new approaches as they have been developed specifically to deal with nonlinear large-scale systems. This review aims at presenting an overview of tools and methods that have been developed within the statistical physics community and that can be readily applied to address the emerging problems in networking. These include diffusion processes, methods from disordered systems and polymer physics, probabilistic inference, which have direct relevance to network routing, file and frequency distribution, the exploration of network structures and vulnerability, and various other practical networking applications.

 

Networking—a statistical physics perspective

Chi Ho Yeung and David Saad 2013 J. Phys. A: Math. Theor. 46 103001 http://dx.doi.org/10.1088/1751-8113/46/10/103001


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Computational models of plant development and form - Prusinkiewicz - 2012 - New Phytologist - Wiley Online Library

Computational models of plant development and form - Prusinkiewicz - 2012 - New Phytologist - Wiley Online Library | Philosophy and Complexity | Scoop.it
RT @NewPhyt: Read a (free) #TansleyReview on a Sunday: 'Computational models of plant development and form' http://t.co/Mzva8PXE74
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Adaptive pedestrian behaviour for the preservation of group cohesion

The paper describes an agent-based model encompassing both traditional individual motivations (i.e. tendency to stay away from other pedestrians while moving towards the goal) and an adaptive mechanism representing the influence of group presence in the simulated population. The mechanism is designed to preserve the cohesion of specific types of groups (e.g. families and friends) even in high density and turbulent situations. The model is tested in simplified scenarios to evaluate the implications of modelling choices and the presence of groups

 

Adaptive pedestrian behaviour for the preservation of group cohesion
Giuseppe Vizzari, Lorenza Manenti and Luca Crociani

Complex Adaptive Systems Modeling 2013, 1:7 http://dx.doi.org/10.1186/2194-3206-1-7


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An Introduction to Natural Computation (Complex Adaptive Systems): Dana H. Ballard: 9780262024204: Amazon.com: Books

An Introduction to Natural Computation (Complex Adaptive Systems) [Dana H. Ballard] on Amazon.com. *FREE* super saver shipping on qualifying offers.
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A Computable Universe: Understanding and Exploring Nature as Computation

A Computable Universe: Understanding and Exploring Nature as Computation

~ Hector Zenil (author) More about this product
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This volume, with a foreword by Sir Roger Penrose, discusses the foundations of computation in relation to nature.
It focuses on two main questions:

What is computation?
How does nature compute?
The contributors are world-renowned experts who have helped shape a cutting-edge computational understanding of the universe. They discuss computation in the world from a variety of perspectives, ranging from foundational concepts to pragmatic models to ontological conceptions and philosophical implications.


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Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective | Philosophy and Complexity | Scoop.it
Some extracts from Saurabh Mittal's paper. A natural system is not a monolithic system but a heterogeneous system made up of disparity and dissimilarity, devoid of any larger goal. The system just ...
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From complex living systems to smarter computers

From complex living systems to smarter computers | Philosophy and Complexity | Scoop.it
can we develop a theoretical framework for distributed adaptive control by modeling gene regulatory networks? http://t.co/u1Uq3vSilj
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Physicalism, Interaction, and Information Loss (March 28 2013) | John Symons

A talk for the Fifth Workshop on the Philosophy of Information    
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Bristle-Bot swarming

Bristle-Bot swarming | Philosophy and Complexity | Scoop.it
An introductory video to "Swarming, swirling and stasis in sequestered bristle-bots", Proc. R. Soc. A 469, 20120637 (2013) by L. Giomi, N. Hawley-Weld and L....
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Progressing from game theory to agent based modelling to simulate social emergence

Progressing from game theory to agent based modelling to simulate social emergence | Philosophy and Complexity | Scoop.it

Axelrod (1984) made a major contribution to Game Theory in his book “Evolution of Cooperation” but thirteen years later he, dissatisfied with game theory, moves onto agent based modelling to rework his view of cooperation in his book in 1997 “The complexity of Cooperation: Agent-based Models of Competition and Collaboration”. In a similar move, the Santa Fe Institute in the US was established in 1984 to grapple with complex social issues and used agent based modelling amongst other techniques to “collaborate across disciplines, merging ideas and principles of many fields — from physics, mathematics, and biology to the social sciences and the humanities — in pursuit of creative insights that improve our world”. Agent based modelling captures the interaction between agents to simulate emergence whether at the physical or social level. Netlogo provides an extensive library of simulations of both physical and social emergence that shows the diversity of application of agent based modelling. These sample simulations can be readily tailored to meet the needs of social scientists. The software is free and there is a thriving enthusiastic community support group.

 

Why is there a move by a prominent game theorist and the Santa Fe Institute to agent based modelling? The article Game Theory as Dogma by Professor Kay (2005) discusses ample reasons to search for alternative techniques to model competition and collaboration.


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Novel properties generated by interacting computational systems

John Symons's insight:

posted here for KU reading group

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