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Chapter 3 begins with a brief explanation of the nature and properties of processes, which forms the basis for an explanation of the fundamentals of dynamical systems, followed by an explanation of complex systems, which will be used as the framework from which the visual arts will be explored in this book. The concepts of complex dynamical systems will appear throughout the book, with illustrations from a wide range of phenomena giving concrete content to the theoretical concepts. This chapter can be used as a frame of reference for later consultation, but it can also be read as an introduction to the chapters that follow.
Chapter 4 provides a definition of the visual arts through the lens of complex dynamic systems. Art is defined as (1) a temporally contingent, iterative process involving many interacting components; (2) a distributed and situated process of enactment; (3) an emergent phenomenon; (4) a unique and authentic visual embodiment of self-determined artistic meaning; (5) an embodied meaning that exploits meta-stable, critical state dynamics of values; (6) a pluriform complex dynamic; and (7) a process governed by a dynamic of presentation, re-presentation, and reference. Finally, definitions of art are presented as critical state attractors in artworld systems (all the technical concepts are explained in Chapter 3).
Chapter 6 is the first chapter in the second part of the book, titled “Entangled Timescales of the Visual Arts.” Chapter 6 explains the meaning of this title by focusing on an important feature of complex systems, namely, that they consist of interacting processes on different time scales, from very short to very long. These processes are entangled, that is, they occur in continuous interaction and are interdependent. These entangled processes form the basis for important complexity features of the arts, such as self-organization, emergence, novelty and creativity, attractors, critical states, variability, and so on.
Introductions of new crops can provide alternate market opportunities, but also pose ecological risks. New crops lack established management, have uncertain performance issues, and may become weedy in their introduced region. The introduction of hemp (Cannabis sativa L.) into southern Florida poses a unique introduction scenario because of the subtropical climate and no commercial production on record, unlike in other eastern and midwest United States. We assessed escape from cultivation for hemp by tracking establishment and reproduction of volunteer plants from the earliest modern hemp planting in Florida. Hemp is a weed across much of the United States matching its historical distribution and has been assessed to be of high invasion risk for Florida because of its biological attributes, history of escape, and colonization in other states and countries. We conducted monitoring of volunteer plants and a seed establishment experiment in southern Florida and found that hemp volunteer plants occurred in pulses over time, with variable and declining germination. Volunteer plants persisted for up to two years and appeared in areas that were disked and mowed according to USDA approved hemp crop termination procedures. In the seed establishment experiment, we found that hemp established in disturbed soils (∼9% of seeds planted) and that mean plant heights and seed counts were positively related to soil disturbance and nutrient addition. These findings show that hemp plantings should be monitored for volunteer establishment, and containment plans should be in place to control the establishment of volunteer hemp plants in agricultural fields. Our study further illustrates the need for multi-year monitoring and repeat termination procedures to ensure containment of hemp volunteers. There was limited evidence of volunteer establishment in surrounding areas and on undisturbed land. However, seed containment, equipment cleaning, and the monitoring of nearby fields and seed transportation routes remains warranted.
This book presents a comprehensive and unexpected approach to the visual arts, grounded in the theories of complexity and dynamical systems. Paul van Geert shows how complexity and dynamical systems theories, originally developed in mathematics and physics, offer a novel perspective through which to view the visual arts. Diverse aspects of visual arts as a practice, profession, and historical framework are covered. A key focus lies in the unique characteristics of complex systems: feedback loops bridging short- to long-term temporal scales, self-organizing into creative emergent properties; dynamics which may be applied to a wide range of topics. By synthesizing theory and empirical evidence from diverse fields including philosophy, psychology, sociology, art history, and economics, this pioneering work demonstrates the utility of simulation models in deciphering a surprisingly wide range of phenomena such as artistic (super)stardom and shifts within art historical paradigms.
This Element offers a fresh treatment of the two cycles of reduction-emergence debates in the sciences and their 'reductionist' and 'emergentist' positions. It suggests philosophers have neglected the compositional models/explanations, and 'endogenous' kind of metaphysics, central to these debates. It highlights how such endogenous metaphysics underpins what is termed the 'Dynamic Cycle,' by which scientists develop novel ontological concepts to underwrite new models/explanations to solve scientific problems. And it subsequently shows that the 'reductionist' and 'emergentist' views in the scientific debates follow the Dynamic Cycle. In the first cycle of debates, in the early twentieth century, the Element outlines how 'everyday reductionism' pioneered a novel family of compositional models/explanations in one of the most successful research movements in twentieth-century science. And, in present debates, it frames contemporary emergentist positions offering ontological innovations, underwriting new families of models, to address problems at the cutting-edge of twenty-first-century science.
Leadership emergence is fraught with pervasive gender stereotypes, and women remain underrepresented in senior leadership roles, particularly in healthcare organisations. We apply ecological systems theory to explain how environmental factors enable or inhibit women’s leadership emergence in healthcare settings. We interviewed 17 senior female leaders in the Australian healthcare sector to explore how gender-related perceptions affected their leadership journeys. Five themes emerged that challenge existing narratives: men supported women’s advancement; women impeded other women’s progress; vulnerability was a leadership strength; ambitious women were ostracised; and women were ‘given’ leadership opportunities rather than actively pursuing them. By situating these findings within the ecological systems theory framework, we highlight the interplay of individual and contextual influences across ecosystem levels. Our study offers a novel perspective on gender stereotypes in leadership emergence, advancing ecological systems theory by extending it into a new field. We provide recommendations at individual, organisational, community, and societal levels to empower women leaders.
Neoclassical economics is heavily based on a formalistic method, primarily centred on mathematical deduction. Consequently, mainstream economists became overfocused on describing the states of an economy rather than understanding the processes driving these states. However, many phenomena arise from the intricate interactions among diverse elements, eluding explanation solely through micro-level rules. Such systems, characterised by emergent properties arising from interactions, are defined as complex. This Element delves into the complexity approach, portraying the economy as an evolving system undergoing structural changes over time.
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Part I
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The Philosophy and Methodology of Experimentation in Sociology
Davide Barrera, Università degli Studi di Torino, Italy,Klarita Gërxhani, Vrije Universiteit, Amsterdam,Bernhard Kittel, Universität Wien, Austria,Luis Miller, Institute of Public Goods and Policies, Spanish National Research Council,Tobias Wolbring, School of Business, Economics and Society at the Friedrich-Alexander-University Erlangen-Nürnberg
The discipline of sociology focuses on interactions and group processes from the perspective of emergent phenomena at the social level. Concepts like social embedding, norms, group-level motivation, or status hierarchies can only be defined and conceptualized in contexts in which individuals are involved in social interaction. Such concepts share the property of being social facts that cannot be changed by individual intention alone and that require some element of individual adjustment to the socially given condition. Sociologists study the embeddedness of individual motivations or preferences in the context of social phenomena as such and the impact of these phenomena on individual adaptation. However, these phenomena can only be observed in individual human behavior, and this tension between the substantive focus on the aggregate level and the analytical focus on the individual level is the challenge that sociological experiments confront.
For microscale heterogeneous partial differential equations (PDEs), this article further develops novel theory and methodology for their macroscale mathematical/asymptotic homogenization. This article specifically encompasses the case of quasi-periodic heterogeneity with finite scale separation: no scale separation limit is required. A key innovation herein is to analyse the ensemble of all phase-shifts of the heterogeneity. Dynamical systems theory then frames the homogenization as a slow manifold of the ensemble. Depending upon any perceived scale separation within the quasi-periodic heterogeneity, the homogenization may be done in either one step or two sequential steps: the results are equivalent. The theory not only assures us of the existence and emergence of an exact homogenization at finite scale separation, it also provides a practical systematic method to construct the homogenization to any specified order. For a class of heterogeneities, we show that the macroscale homogenization is potentially valid down to lengths which are just twice that of the microscale heterogeneity! This methodology complements existing well-established results by providing a new rigorous and flexible approach to homogenization that potentially also provides correct macroscale initial and boundary conditions, treatment of forcing and control, and analysis of uncertainty.
Chapter 1 provides an introduction to evolving complexity theory (ECT) of talent development (TD), a new theory that adopts a relational developmental-systems perspective on how talent is developed and human excellence achieved. A developmental-systems theory has to address the questions of what develops, how it develops, when it takes place, where (i.e., social-historical conditions and cultural contexts) it takes place, with each constraining one’s chance of success. Evolving complexity refers to the nature of TD as encompassing biological, experiential, cognitive, and sociocultural aspects in developmental self-organization, resulting in distinct individuality, of which specific talent achievement is a manifestation. ECT distinguishes itself from other TD models in its emphasis on the primacy of action/interaction, and the nature of TD as adaptation to task affordances and constraints. ECT also views TD as the means to an end of creating a productive, fulfilling life, and there are many niches and pathways to excellence within and across domains.
This chapter reports on the results of the coding scheme designed to assess collaborative learning activities during early elementary school described in Chapter 7. The scheme measures dialogic, activity-based, and nonverbal intersubjectivity and collaborative engagement. Three video-recorded, teacher-facilitated pedagogical activities are used for the analysis. These activities reflect findings from the play-based pedagogy literature in that they involve a mixture of teacher and child contributions. Teachers scaffold the engagement and understanding of a small group while following the children’s lead. Each activity includes open-ended exploration of a material by the children. The findings show that two different videos with the same teacher used similar forms of exploratory talk most often, whereas the other teacher used other forms of dialogue most often. In addition, intersubjectivity and collaborative engagement among all three groups peaked during active shared engagement with the materials. These periods coincided with less dialogue and occurred in the middle of the activity.
Focusing on the late prehistoric southern Levant, we recently suggested that the diffused low-frequency distribution of large predator bones (lion, leopard and bear) coalesces into a coherent temporal pattern when observed at a sufficiently long timescale. While in the previous research we sought to determine what sort of sociocultural mechanism might explain this pattern, effectively drawing it into the orbit of the familiar, in this brief provocation, we push in the other direction, towards the unfamiliar: how can a process or phenomenon be culturally significant yet meaningless at the human and societal levels? How is a phenomenon substantial in the long term and insubstantial in the short term?
In this final chapter, we take on an issue that perhaps precedes all the others: how and why did language evolve? Linguistic theory has recently pivoted to amass considerable research on these questions. As we’ve seen over and over in the book, simpler structures have been posited across frameworks to account for the need to explain how language evolved. However, in this book, we’ve seen many distinct approaches to understand human language. A view of language evolution that permits the pluralism of the book would be consistent with the broad approach of this work. Therefore, in this chapter, I want to turn the minimalist research agenda on its head with an alternative thesis: natural language is a complex system and its emergence is likely to have been prompted by multiple interacting factors. First, we assess the current state of the art in biolinguistics and the strong saltation claim that goes with it. Then, we challenge the assumptions that’ve resulted in the saltation picture of language evolution on evolutionary grounds. Lastly, a radical approach to language evolution in terms of complexity science is proffered based on a unique connection with systems biology.
Waterhemp has evolved resistance to Group 2, 5, 9, 14, and 27 herbicides in Ontario, Canada, making control of this challenging weed even more difficult. Acetochlor is a Group 15, chloroacetanilide herbicide that has activity on many small-seeded annual grasses and some small-seeded annual broadleaf weeds, including waterhemp. The objective of this study was to ascertain if acetochlor mixtures with broadleaf herbicides (dicamba, metribuzin, diflufenican, sulfentrazone, or flumioxazin), applied preemergence (PRE), increase multiple-herbicide-resistant (MHR) waterhemp control in soybean. Five trials were conducted over 2 yr (2021 and 2022). The acetochlor mixtures caused ≤7% soybean injury, except acetochlor + flumioxazin, which caused 19% soybean injury. Acetochlor applied PRE controlled MHR waterhemp 89% at 4 wk after application (WAA). Dicamba, metribuzin, diflufenican, sulfentrazone, or flumioxazin controlled MHR waterhemp 59%, 67%, 58%, 64%, and 86%, respectively, at 4 WAA. Acetochlor applied in a mixture with dicamba, metribuzin, diflufenican, sulfentrazone, or flumioxazin provided good to excellent control of MHR waterhemp; control ranged from 91% to 98% but was similar to acetochlor applied alone. Acetochlor alone reduced MHR waterhemp density and biomass 98% and 93%; acetochlor + flumioxazin reduced waterhemp density and biomass by an additional 2% and 7%, respectively. This research concludes that acetochlor applied in a mixture with flumioxazin was the most efficacious mixture evaluated for MHR waterhemp control.
Fireweed (Senecio madagascariensis Poir.) has invaded and colonized numerous habitats in the coastal areas of southeastern Australia and is a major weed in cultivated lands as well as in poorly grassed, neglected, and highly grazed pastures. To examine the seed germination ecology of two populations (Felton and Gatton) of S. madagascariensis, experiments were conducted in the laboratory and screen house. The germination of both populations increased as the alternating temperatures increased from the coolest temperatures (15/5 C) to warmer temperatures (25/15 C). However, the highest temperature regime (35/25 C) resulted in the lowest germination rates. The Gatton population exhibited greater tolerance to higher temperatures, resulting in significantly higher germination (2.4 times) than the Felton population at the highest alternating temperature of 35/25 C. Compared with the Felton population, the Gatton population demonstrated higher tolerance to salt and water stress. In comparison to alternating light and dark periods (12 h each) (97% to 98%), the germination of both populations of S. madagascariensis was significantly reduced under complete darkness (24 h) (33% to 39%). A screen house seed burial depth experiment revealed similar emergence of S. madagascariensis seedlings between the populations. The maximum emergence (60%) was observed for seeds placed at the soil surface, followed by a dramatic decline in seedling emergence with an increase in depth. No seedlings emerged from a burial depth of 4 cm. With the addition of wheat (Triticum aestivum L.) crop residue to the soil surface at rates comparable to 4,000 to 8,000 kg ha−1, seedling emergence of S. madagascariensis decreased significantly. Information acquired from this study could be utilized to manage and develop effective weed management strategies for controlling S. madagascariensis in different agroecological conditions.
Soil amelioration via strategic deep tillage is occasionally utilized within conservation tillage systems to alleviate soil constraints, but its impact on weed seed burial and subsequent growth within the agronomic system is poorly understood. This study assessed the effects of different strategic deep-tillage practices, including soil loosening (deep ripping), soil mixing (rotary spading), or soil inversion (moldboard plow), on weed seed burial and subsequent weed growth, compared with a no-till control. The tillage practices were applied in 2019 at Yerecoin and Darkan, WA, and data on weed seed burial and growth were collected during the following 3-yr winter crop rotation (2019 to 2021). Soil inversion buried 89% of rigid ryegrass (Lolium rigidum Gaudin) and ripgut brome (Bromus diandrus Roth) seeds to a depth of 10 to 20 cm at both sites, while soil loosening and mixing left between 31% and 91% of the seeds in the top 0 to 10 cm of soil, with broad variation between sites. Few seeds were buried beyond 20 cm despite tillage working depths exceeding 30 cm at both sites. Soil inversion reduced the density of L. rigidum to <1 plant m−2 for 3 yr after strategic tillage. Bromus diandrus density was initially reduced to 0 to 1 plant m−2 by soil inversion, but increased to 4 plants m−2 at Yerecoin in 2020 and 147 plants at Darkan in 2021. Soil loosening or mixing did not consistently decrease weed density. The field data were used to parameterize a model that predicted weed density following strategic tillage with greater accuracy for soil inversion than for loosening or mixing. The findings provide important insights into the effects of strategic deep tillage on weed management in conservational agricultural systems and demonstrate the potential of models for optimizing weed management strategies.
This introductory chapter delves into the inception of developmental cognitive neuroscience, a field shaped by historical inquiries into brain development, childhood learning, and the nature–nurture debate. We trace the origins of this interdisciplinary endeavor, revealing how it has emerged as a pioneering approach to comprehending human development. In this chapter, we dissect the core components of developmental cognitive neuroscience: development, cognition, and neuroscience. We elucidate their interconnectedness, underpinning theories, and evolving methodologies, spotlighting the transformative impact of recent technological strides. Throughout the book, our emphasis remains on the synthesis of these elements, illustrating their collective role in advancing our comprehension of human development. This chapter establishes the groundwork for an engaging exploration of the intricate interplay between brain maturation, cognitive processes, and the unfolding of human potential.
This book explores some implications of studying international relations from a systemic perspective. This chapter takes on the preliminary tasks of defining systems, identifying distinctive characteristics of systemic explanations, and situating systems approaches in a broader context of relational framings. A system is a bounded set of components of particular types, arranged in definite ways, operating in a specific fashion to produce characteristic outcomes, some of which are emergent. The arrangement and operation of the components produce “emergent” “systems effects;” properties and outcomes that cannot be fully understood through knowledge of the parts considered separately. I emphasize the relational character of systemic explanations and their reliance on mechanisms and processes, in order to foster developing a relational processual systemic perspective within a pluralistic IR.
During the third millennium BC, new types of anthropogenic landscape emerged across northern Europe: heathlands and pasture. These open landscapes afforded mobile pastoralism and the arena for a new funerary practice: barrow building. Here, the authors define this entanglement of people, animals and landscapes as a literal and figurative ‘ancestral commons’. Focusing on western Jutland, they combine palaeoecological and archaeological evidence to characterise the form and temporal depth of the co-emergent links between pastoralism, barrows and mobility. Conceptualising the ancestral commons as a deep-time entanglement, characterised by rhythms of physical and metaphorical movement, reveals a landscape that afforded shared understanding of the ancestral past and a foundation for the subsequent Nordic Bronze Age.