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Commentary on Theories of Mathematics Education

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Complexity <strong>Theories</strong> and <strong>Theories</strong> <strong>of</strong> Learning: Literature Reviews and Syntheses 581<br />

Building Blocks<br />

The last <strong>of</strong> Holland’s seven basic ingredients <strong>of</strong> complex adaptive systems is directly<br />

related to the mechanism <strong>of</strong> internal models. This mechanism provides a<br />

means for generating useful internal models <strong>of</strong> a “perpetually novel envir<strong>on</strong>ment”<br />

(Holland 1995, p. 34) by the distillati<strong>on</strong> from experience <strong>of</strong> reusable “building<br />

blocks.” Agents acquire building blocks through a process <strong>of</strong> selective attenti<strong>on</strong>—<br />

decomposing informati<strong>on</strong> from their envir<strong>on</strong>ment into c<strong>on</strong>stituent elements that can<br />

be combined and re-combined into novel internal models. Through iterative use and<br />

testing agents accumulate building blocks that enable the c<strong>on</strong>structi<strong>on</strong> <strong>of</strong> useful internal<br />

models, models that enable those agents to anticipate the probabilities and<br />

c<strong>on</strong>sequences <strong>of</strong> potential future acti<strong>on</strong>s. Iterated and mutually influential development<br />

<strong>of</strong> building blocks and internal models is a key source <strong>of</strong> the adaptati<strong>on</strong> <strong>of</strong><br />

complex adaptive systems.<br />

Summary<br />

John Holland’s (1995) treatment <strong>of</strong> the fundamentals <strong>of</strong> complex adaptive systems<br />

is a detailed and comprehensive systems-theoretical framework. It provides a welldefined<br />

“litmus test” for deciding whether or not a system is complex and adaptive<br />

and for defending such a decisi<strong>on</strong>. Bey<strong>on</strong>d that, it provides powerful c<strong>on</strong>ceptual<br />

tools—the properties and mechanisms—for analyzing the activity and pattern developments<br />

<strong>of</strong> CAS.<br />

This discussi<strong>on</strong> <strong>of</strong> Holland’s model <strong>of</strong> generalized complex adaptive systems is<br />

intended to provide a subsequent framework for building persuasive arguments that<br />

classroom learning, and human learning in general, can be pr<strong>of</strong>itably studied from<br />

systems-theoretical points <strong>of</strong> view. That project might proceed by first relating observed<br />

patterns <strong>of</strong> classroom behaviors, to Holland’s more general mechanisms and<br />

properties and then using those parallels to try and generate a model <strong>of</strong> learning<br />

based <strong>on</strong> his systems approach. Although a thorough treatment <strong>of</strong> classroom learning<br />

as CAS is well bey<strong>on</strong>d the intended scope <strong>of</strong> this article, a plan for how research<br />

might proceed in doing that will be sketched out in a later secti<strong>on</strong>.<br />

Each <strong>of</strong> these three perspectives <strong>on</strong> dynamical systems, Camazine et al.’s (2001),<br />

Casti’s (1994), and Holland’s (1995), provides an <strong>on</strong>tological pathway for making<br />

sense <strong>of</strong> complex systems and <strong>of</strong> the collective behavior <strong>of</strong> aggregates <strong>of</strong> agents.<br />

These perspectives also serve to define and clarify the types <strong>of</strong> c<strong>on</strong>siderati<strong>on</strong>s necessary<br />

in undertaking a complex systems analysis. Next I turn to a discussi<strong>on</strong> <strong>of</strong> the<br />

utility <strong>of</strong> these systems perspectives for making sense <strong>of</strong> the dynamic and complicated<br />

activities inherent in classroom learning.<br />

Individualized and Systems Approaches to Learning<br />

The great majority <strong>of</strong> theory building in c<strong>on</strong>structivist and cognitivist learning<br />

theories has been focused <strong>on</strong> the learning <strong>of</strong> an individual. Behaviorist perspec-

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