The hegemony of the physical sciences: an exploration in complexity thinking

Richardson, Kurt A.

doi:10.1016/j.futures.2004.11.008

Cited by 30 publications

(15 citation statements)

References 30 publications

(40 reference statements)

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“…Again, the important element is discretization of state space. I explore this particular issue of the relationship between nonadaptivity and adaptivity in discrete systems at much greater detail in [10]. What would become a challenge as we arbitrarily increased the complexity of such networks (other than the considerable challenge of actually constructing and simulating them) is not that the fundamental importance of nonconserving information loops would diminish, but that the physical interpretation of them would change as we ''stood further back'' from the network.…”

Section: Discussionmentioning

confidence: 99%

“…The different shades of gray in Figure 5 indicate the number of data points that fall into a particular data bin (the data is rounded down to 2 decimal places leading to 100 data bins). So the darkest gray regions contain many data points (>a 10 where a is the relative frequency of the data, a 5 2.4 in this case) and the lightest gray regions contain only one (or a 0 ) data point. If we had blindly calculated the average values and attempted to interpret its meaning we would have missed the importance of dynamic core size completely.…”

Section: Dynamic Robustness Of Complex Networkmentioning

confidence: 96%

“…10 6 random Boolean networks with N 5 15 and k 5 2 (with random connections and random transition functions, excluding the two constant functions) were constructed. For each network its dynamic core was determined using the method detailed in [8].…”

Section: Dynamic Robustness Of Complex Networkmentioning

confidence: 99%

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Robustness in complex information systems: The role of information “barriers” in Boolean networks

Richardson¹

2009

Complexity

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In this supposed ''information age,'' a high premium is put on the widespread availability of information. Access to as much information as possible is often cited as key to the making of effective decisions. While it would be foolish to deny the central role that information and its flow has in effective decision-making processes, this chapter explores the equally important role of ''barriers'' to information flows in the robustness of complex systems. The analysis demonstrates that (for simple Boolean networks at least) a complex system's ability to filter out, i.e., block, certain information flows is essential if it is not to be beholden to every external signal. The reduction of information is as important as the availability of information.2009 Wiley Periodicals, Inc. Complexity 15: [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42] 2010

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Section: Discussionmentioning

confidence: 99%

Section: Dynamic Robustness Of Complex Networkmentioning

confidence: 96%

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Robustness in complex information systems: The role of information “barriers” in Boolean networks

Richardson¹

2009

Complexity

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“…Complex systems, like submarine information architectures, display several key characteristics (Richardson, 2005). First, complex system behavior is strongly influenced by the system's history.…”

Section: Models Of Decision Making In the Submarine Information Archimentioning

confidence: 99%

“…While complex systems may display widely varying qualitative behavior, the phenomenon tends to be scale dependent (Richardson, 2005). Phenomena that vary in a microscopic view may seem well ordered from a more macroscopic perspective.…”

Section: Models Of Decision Making In the Submarine Information Archimentioning

confidence: 99%

Decision Making in the Submarine Information Architecture

Kern¹,

Phaneuf²

2012

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Public reporting burden for this collection of lnfonnation is estimated to avemga 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and mainla!nlng the data needed, and completing and reviewing this callection of infcnnation. Send comments reganfing this burden estimate or any other GSpGd of this eolledlon of information, including suggestions for reducing

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Dreaming of disability‐as‐possibility as a humanistic STEM education futurity

Boda

2024

Science Education

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I Dream with and through a positionality that lacks critical theorizing in Science, Technology, Engineering, and Mathematics (STEM) education research: Students labeled with disabilities; Disability beyond students’ accommodations. Understanding this marginalized population can push humanistic STEM scholarship to disrupt ableism by design, thereby honoring students’ voices, identities, and Dreams as knowledge‐building sources. Engaging purposefully along such a proactive centering of these margins pushes STEM researchers to think beyond past challenges and break away from the free‐market value commoditizations of education. I urge we Dream future possibilities of humanistic STEM education where researchers, teachers, and students are aligned to build new cultures of joy and feelings of relational belonging. In this way I seek to nurture the brilliance of students who are historically marginalized, including Disabled people, because of a desire to define their studenthood on their own terms. I argue that STEM education researchers working toward “what if” leveraging intersectionality as a way to critically theorize design can do more than change disciplinary practices: We can help students to Dream beyond “what is.”

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The hegemony of the physical sciences: an exploration in complexity thinking

Cited by 30 publications

References 30 publications

Robustness in complex information systems: The role of information “barriers” in Boolean networks

Robustness in complex information systems: The role of information “barriers” in Boolean networks

Decision Making in the Submarine Information Architecture

Dreaming of disability‐as‐possibility as a humanistic STEM education futurity

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