scholarly journals Inojezični razvoj i teorije dinamičnih sustava

2018 ◽  
Vol 13 (2) ◽  
pp. 287
Author(s):  
Marijana Bašić

U ovome se radu raspravlja o dosadašnjim teorijskim spoznajama o inojezičnome razvoju iz perspektive teorije dinamičnih sustava (engl. Dynamic systems theory, tj. DST), o pokušaju oblikovanja razvojnoga indeksa, o pojavi teorijskoga pluralizma u okviru kojega se ukazalo na sličnosti između složenih nepravocrtnih sustava koji se pojavljuju u prirodi i pri ovladavanju inim jezikom te o različitim načinima mjerenja složenosti, točnosti i tečnosti, tj. STOT-a (engl. complexity, accuracy and fluency, tj. CAF). Opisuju se nove metode istraživanja inojezičnoga razvoja te daje detaljan pregled najvažnijih recentnih istraživanja u okviru teorije dinamičnih sustava, odnosno teorije kaosa ili složenosti (engl. Chaos/complexity theory, tj. C/ CT), teorije složenih prilagodljivih sustava (engl. Complex adaptive system theory, tj. CAS) i (nad)teorije složenih sustava (engl. Complex systems supra-theory).

Author(s):  
Phil Hiver ◽  
Ali H. Al-Hoorie

Abstract Complexity theory/dynamic systems theory (CDST) has captured the imagination of many in the field of applied linguistics (Larsen-Freeman, Diane & Lynne Cameron. 2008. Complex systems and applied linguistics. Oxford: Oxford University Press; Ortega, Lourdes & Zhao Hong Han (eds.). 2017. Complexity theory and language development: In celebration of Diane Larsen-Freeman. Amsterdam: John Benjamins). As recent syntheses of the growing number of CDST-informed strands of applied linguistics research illustrates, it has emerged as an important influence on applied linguists’ thinking (see Larsen-Freeman, Diane. 2017. Complexity theory: The lessons continue. In Lourdes Ortega & Zhao Hong Han (eds.), Complexity theory and language development: In celebration of Diane Larsen-Freeman, 11–50. Amsterdam: John Benjamins). The fact that CDST has continued to permeate questions throughout the field is to be expected and welcomed.


Author(s):  
Michael Strevens

Complexity theory attempts to explain, at the most general possible level, the interesting features of complex systems. Two such features are the emergence of simple or stable behavior of the whole from relatively complex or unpredictable behavior of the parts and the emergence of sophisticated behavior of the whole from relatively simplistic behavior of the parts. Often, both kinds of emergence are found nested in the same system. Concerning the emergence of simplicity, this essay examines Herbert Simon’s explanation from near-decomposability and a stochastic explanation that generalizes the approach of statistical physics. A more general notion of an abstract difference-making structure is introduced with examples, and a discussion of evolvability follows. Concerning the emergence of sophistication, this chapter focuses on, first, the energetics approach associated with dissipative structures and the “fourth law of thermodynamics” and, second, the notion of a “complex adaptive system.”


2012 ◽  
Vol 212-213 ◽  
pp. 536-542
Author(s):  
Qiong Su ◽  
Shi Hua He

Based on complex adaptive system theory, the characteristics of water resources allocation system of river basin are analyzed. Evolutionary mechanisms and process of complex adaptive water resources allocation system in Dianchi basin are researched, and also characteristics of "learning". A complex adaptive system model of water-resource allocation is established during analyzing the influence factors and the reaction rules of water consumer agents and water provider agents. And based on this model, water resources in Dianchi basin is allocated only under Dianchi water provider and Zhangjiu river Yunlong reservoir water provider by using the platform of matlab. Finally, corresponding calculation results and conclusions are concluded.


2002 ◽  
Vol 357 (1421) ◽  
pp. 683-695 ◽  
Author(s):  
Timothy M. Lenton ◽  
Marcel van Oijen

We define the Gaia system of life and its environment on Earth, review the status of the Gaia theory, introduce potentially relevant concepts from complexity theory, then try to apply them to Gaia. We consider whether Gaia is a complex adaptive system (CAS) in terms of its behaviour and suggest that the system is self–organizing but does not reside in a critical state. Gaia has supported abundant life for most of the last 3.8 Gyr. Large perturbations have occasionally suppressed life but the system has always recovered without losing the capacity for large–scale free energy capture and recycling of essential elements. To illustrate how complexity theory can help us understand the emergence of planetary–scale order, we present a simple cellular automata (CA) model of the imaginary planet Daisyworld. This exhibits emergent self–regulation as a consequence of feedback coupling between life and its environment. Local spatial interaction, which was absent from the original model, can destabilize the system by generating bifurcation regimes. Variation and natural selection tend to remove this instability. With mutation in the model system, it exhibits self–organizing adaptive behaviour in its response to forcing. We close by suggesting how artificial life (‘Alife’) techniques may enable more comprehensive feasibility tests of Gaia.


2013 ◽  
Vol 5 (2) ◽  
pp. 140-153
Author(s):  
Patrick Schotanus

The aim of this paper is to contribute to Jung's later work, with a particular focus on the numerical archetypes viewed from an investor's perspective. It attempts to achieve this via a three-pronged approach. First, placing complex psychology in the framework of complexity theory allows a robust acknowledgement and treatment of ‘elusive’ macroscopic properties, i.e. archetypal dynamics, involved in the ordering of a mind as a complex adaptive system. Second, modern insights in number sense (the direct intuition of what numbers mean) provide neuroscientific support for numerical archetypes and clarify their primacy. Third, this paper points to the empirical relevance of numerical archetypes in price discovery, the self-organizing principle of the capital markets (which allocate resources in modern society). The resulting proposition is that the (collective) mind's unconscious and conscious forces can be considered as ‘intelligent’ agents. The competition between these two domains provides the necessary condition to endogenously generate innovative outcomes, the essential capability of complex adaptive systems. According to this view producing such adaptive novelty is achieved in the form of intuitive insights and imagination, which result in a vast array of symbols, e.g. prices in the case of the market's mind.


Author(s):  
David G. White ◽  
James A. Levin

The goal of this research study has been to develop, implement, and evaluate a school reform design experiment at a continuation high school with low-income, low-performing underrepresented minority students. The complexity sciences served as a theoretical framework for this design experiment. Treating an innovative college preparatory program as a nested complex adaptive system within a larger complex adaptive system, the school, we used features of complex adaptive systems (equilibrium, emergence, self-organization, and feedback loops) as a framework to design a strategy for school reform. The goal was to create an environment for change by pulling the school far from equilibrium using a strategy we call “purposeful perturbations” to disrupt the stable state of the school in a purposeful way. Over the four years of the study, several tipping points were reached, and we developed agent-based simulation models that capture important dynamic properties of the reform at these points. The study draws upon complexity theory in multiple ways that have supported improved education for low-achieving students.


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