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This chapter explores the conceptual frames of the book, drawing upon social network and complex systems science, together with concepts drawn from political science and practice theory. The crux of the argument is why people maintain networks with strangers, and how can we uncover and analyse them. A crucial point concerns the relations that sociologists have called ‘weak ties’, and how such interaction created ‘small worlds’ of social shortcuts, creating flows of information and personal contexts. I show how transport and topography conditioned communications between emporia and the wider world. This leads on to the mechanisms through which interactions with strangers were focused, creating flows of information and personal contexts that were far denser than might intuitively be presumed for such geographically far-flung connections. I outline how archaeological research can inform these issues not merely by tracing movements and interactions, but in terms of defining their scale, impact, and dynamics. These may be explored using comparative and quantitative methods, but often the decisive syntheses are obtained by the addition of contextual and qualitative observations.
Although there has been considerable scholarly discussion of the relationships between the infrastructure and social and economic conditions of settlements and their estimated populations, there has been virtually no investigation of the extent to which it is possible to detect similar relationships within settlements, aside from some very preliminary work on Pompeii. The aim of this article is therefore to build on earlier work and investigate whether this is indeed the case by focusing on three other sites: Delos, Herculaneum, and Ostia. The results show that there are almost identical relationships between the numbers of rooms and the total ground floor footprints of the residential units within these settlements, despite their different social and economic contexts. This demonstrates, for the first time, that these effects are not just confined to one site and that we may be dealing with a relatively widespread phenomenon.
Natural Linguistics (NL), like other linguistic theories, must rely on empirical evidence in order to develop ideas about language. In recent decades, complexity science, also known as complex (adaptive) systems, has put forward new notions about what people say and write, in particular about the frequency distribution of variation for any linguistic feature. We examine the frequency profiles of linguistic features (phonetic realizations in American English and consonant clusters in Polish) and discuss how these frequency patterns may be understood in NL, bringing together the perspectives of sociophonetics, language acquisition, and phonotactics. That is, empirical observations from the latter areas constitute a bottom-up motivation for complex systems analysis. We show that an understanding of the distributional properties of a complex systems analysis of speech can inform NL. Earlier, other approaches to complexity have been explored in various areas of NL. Our new and epistemologically more advanced approach is elaborated in detail only in phonotactics in convergence with the naturalist Beats-and-Binding model, and enhanced by sociophonetics.
Psychiatric disorders are complex conditions involving multifactorial, nonlinear causal dynamics, which make effective treatment challenging. To address this complexity, a framework is proposed that distinguishes between types of causality: permissive causality, which pertains to factors affecting the likelihood of an outcome occurring, and instructive causality, which refers to factors shaping the specific features of the outcome. In this framework, when considering an individual as a complex adaptive system, causal processes within the individual are permissive, whereas causal processes outside the individual can be either permissive or instructive in relation to the individual’s global emergent outcomes. Accordingly, when dealing with mental states or complex behaviors, biological substrates – from genes to brain areas – operate through permissive causality, shaping a space of possibilities rather than instructing a specific outcome. By contrast, contextual factors – such as life challenges or subjective appraisal – can also operate through instructive causality, steering behavior and mental states toward specific trajectories. Therapeutic strategies should harness the synergistic interplay between these types of causality, targeting biological substrates to enable transitions in mental states, and leveraging contextual factors to steer these transitions toward mental well-being. Recognizing such interplay holds promise for developing innovative and effective approaches in precision psychiatry, especially for treatments enhancing plasticity – which itself operates through permissive causality – including antidepressants and psychedelics.
This research addresses the perceptual conflict wherein consumers place greater trust in independent repair providers than in brand-led initiatives. Positioned within design for sustainability discourse, this paper, firstly examines repair service providers’ perspectives, revealing their challenges & systemic complexities. Secondly it presents their role in shaping the industry through skill transfer, community building etc. Lastly, design interventions are analyzed using systemic leverage points framework to expose varying depths of repair services to bring systemic change of fashion sector.
This study investigates the challenges of dynamic value integration in complex innovation projects. Difficulties stem not from a lack of willingness, but from a persistent lack of re-openability in design governance systems. This study identifies a triple closure mechanism that filters out evolving stakeholder values. The paper reframes value integration from a technical problem to a political-institutional process, arguing for an Adaptive Governance Infrastructure designed to manage the necessary tension between static and re-opening.
This paper provides a structured overview of methods for assessing assembly complexity in manufacturing. A systematic literature review classifies approaches as product-, information-, or system-centered, each reflecting distinct sources of complexity and application contexts. A four-dimensional scheme enables consistent comparison. The results highlight methodological gaps and support future development of scalable, integrable models for planning and decision-making in high-variety production environments.
Critical infrastructures are complex, interdependent systems on which our societies are reliant. A better understanding of these interdependencies is vital to improving their functioning and resilience. While various studies and surveys have been conducted, we aim to cast a new perspective by focusing on what Rinaldi et al. introduced in 2001, as “logical interdependencies” and their modeling and simulation considering the human factor, and by adopting a cross-area approach to guide future works through the identification of research directions and common design challenges, good practices.
The paper presents a simulation framework for evaluating fast charging and battery swapping strategies in battery-electric construction machinery. Developed using discrete-event and agent-based modeling, the framework supports scenario analysis in mining and road construction contexts. Case studies demonstrate how charging strategies impact productivity, energy costs, and battery degradation. Results highlight trade-offs between operational efficiency and long-term sustainability, offering a decision-support tool for electromobility transition in construction machinery.
The implementation of services into complex systems is not well understood in design. We explore this issue by interviewing 24 design professionals with experience in implementing digital services in healthcare. We asked when they consider such services as implemented, and how they view the relation between design and implementation. Results reveal diverse perspectives on both topics. Given the wide dispersion in views, we propose two categories to describe implementation goals (impact on, and integration with systems), and to view design as a contributor to the implementation phase.
Understanding systems behaviour through experimentation is at the heart of modern Behavioural Data Science. While earlier chapters have explored the analysis of human and algorithmic behaviour, this chapter centres on the dynamic and often non-linear processes that emerge when individual components – human agents, algorithms, environments – interact within a system. These systems can span sectors, from health and mobility to climate and governance, and are characterised by emergent properties that defy reductionist interpretations. This chapter elaborates on how experimental paradigms, including in silico simulations, real-world interventions and digital twin testbeds, facilitate insight into the adaptive behaviour of complex systems. Anchored in the frameworks of complex adaptive systems, cybernetics and socio-technical experimentation, we articulate the distinct role of Behavioural Data Science in producing actionable knowledge through systems-level interventions. The chapter also interrogates the ethical, epistemological and methodological dilemmas associated with manipulating complex systems and proposes principles for the responsible design of system-wide experiments.
This book tells the fascinating story of American English, tracing its emergence in the colonial period through to the present day. Written by a leading scholar, and drawing on data from the Linguistic Atlas Project, it explores how and why American English differs from British English, how it has been standardized, and how the USA's global political power has influenced its prominent status around the world. Illustrated with copious examples of language in use, it also surveys the various dialects of American English, including African American English, and explores social and cultural variation between English and other languages spoken in the United States. Each chapter explains the relevant terms and concepts from linguistics, and provides computer-based exercises. The author also introduces the basics of complexity science, showing how complex systems shape development and change in American English. Authoritative yet accessible, it will be essential reading for researchers and students alike.
Despite the growing application of behavioural science in public policy, progress in many countries has been slow. This study explores the challenges in applying behavioural insights (BI) to policymaking and identifies potential solutions. We conducted semi-structured interviews with 12 behavioural science experts who have worked with national governments or international bodies across 39 countries. Using inductive content analysis, we discovered three main challenges perceived by the experts: limited knowledge and misunderstandings of BI among stakeholders, constraints within the public policy environment, and resource limitations in both BI units and public administrations. The experts also highlighted strategies to build capacity within the public sector, including creating peer networks, partnering with external experts, organising targeted training programmes, and providing supportive tools and resources. We interpret these findings through the lens of navigating complex adaptive systems, distinguishing between ordered problems – amenable to transferable solutions – and genuinely complex problems requiring participatory approaches and contextual adaptation. Advancing contextual understanding of behavioural science in policy may require distinguishing challenges that permit efficient solutions from those demanding slower, relationship-based sense-making.
The text explores ‘Black Box Music,’ an artistic research experiment investigating human–technology relations in musical improvisation. The authors describe performances in which each musician plays an unfamiliar, complex, custom-built instrument designed by another team member. These ‘black box’ devices – ranging from AI-based systems to assemblages of analogue devices – cannot be fully understood or controlled, thus foregrounding questions of agency, sense-making, and aesthetic experience. Drawing on Actor-Network Theory, phenomenology, and philosophies of technology, the authors show how performers, instruments, and audience form a dynamic network of actants whose roles and intentions remain ambiguous. Players initially struggle to ‘read’ the instruments’ behaviour, shifting from reactive analysis toward proactive improvisation. This process blurs embodiment and alterity: the instruments alternately function as transparent extensions of the body and as quasi-autonomous others. Such ambiguity invites anthropomorphisation and even ritualised interaction, echoing historical entanglements of music, magic, and spirituality. Audience members, too, encounter indeterminate agency and must negotiate aesthetic meaning without clear attribution of sound to human or machine. The project demonstrates how complexity and unpredictability destabilise traditional notions of control, revealing improvisation as collective, participatory sense-making and highlighting the emergent, co-creative agency of both humans and technological instruments.
The new science of complex systems explains why Zelinsky’s cube is a good model of culture. It works well with economic markets–and also language in use. We can see the evidence that a complex system has operated in American English by looking at evidence from the Linguistic Atlas Project. Linguistic variants all show the same patterns of distribution, both overall in a population and in subset populations. These frequency profiles provide a challenge to traditional ways of thinking about language with grammars and dictionaries.
Despite remarkable surgical advances, knowledge, and training, the reliability of patient care needs to be more robust, and affordable. Surgical teams struggle to design, implement, and maintain processes that optimize human performance, reduce risk, and ensure highly reliable, safe outcomes. Solutions for caregivers, especially those on the frontlines, remain elusive. This chapter helps to demystify the complex reality of our surgical processes, exploring how disruptions impact outcomes. It provides the tools to empower people and teams to provide the most effective, safe, and reliable care by improving process flow.
Mimesis is a foundational concept that has influenced aesthetics and arts scholarship for centuries. Originating with Plato, in whose work it primarily described artistic referentiality, the term was later popularized in acousmatic music during the 1990s as a framework for many composers. This article highlights an alternative interpretation emerging in performative studies: mimesis as an assimilation of incidents. Through this reinterpretation, I underscore the properties of evolution, adaptation, multiplicity, self-determination, and emergence as key characteristics of performative mimesis. The article concludes by suggesting potential similarities with the concept of complex systems – an emerging theory in the natural sciences – which may prove useful for future research.
Bipolar disorder is a recurrent and disabling condition, with a critical clinical need to prevent transitions from euthymia or depression (normal or low activation states) to mania (a high activation state). This study investigates how disruptions in sleep–wake and circadian rhythms may trigger these high activation states, to inform more effective relapse prevention strategies.
Methods
We developed a computational agent-based model integrating empirical evidence, clinical expertise, and lived experience to simulate how 24-hour sleep–wake behaviors (SWBs) influence manic episodes. Individual characteristics were drawn from the Brain and Mind Youth Cohort (N = 2,330), and multiple scenarios were simulated to assess how SWB dynamics affect the emergence and course of mania.
Results
In the absence of all irregularities, no individuals experienced a manic episode. Removing behavioral feedback loops resulted in a substantial reduction in manic episodes and delayed onset. In contrast, eliminating light–dark entrainment slightly increased the frequency of manic episodes, suggesting that seasonal adaptation plays a stabilizing role. When examining components of SWB separately, removing sleep irregularities alone had only a modest effect on mania rates, whereas reducing activity irregularities led to the largest benefit: a significant drop in mean manic episodes, a delay in onset, and preventing mania in 65% of the simulated agent population.
Conclusions
Our findings highlight the value of computational modeling for uncovering causal dynamics in mental health. These specific findings demonstrate how daily irregularities in sleep–wake behavior may be a necessary condition for mania. Targeting behavioral regularity may offer a powerful pathway for prevention and early intervention.
Despite contemporary relevance in understanding how cities historically overcame demographic, social and economic constraints imposed by the lack of clean, fresh water, the value of estimating aqueduct delivery rates and their potential relationship with population size in the Roman Empire remains uncertain. Here, the authors use settlement scaling theory to examine recent statistics for city size and aqueduct capacity, revealing a systematic but sublinear relationship between these variables, whereby water supply increased at a slower rate than population size. Far from merely ostentatious displays of power, aqueducts were carefully planned to ensure an adequate supply of clean and fresh water.
Implementation science increasingly uses participatory systems modeling (PSM) approaches to handle the complexity inherent to implementation science issues. To support the process of integrating PSM with implementation science, we aimed to understand and explicate the benefits, facilitators, and future needs of applying PSM to implementation research.
Methods:
We conducted semi-structured qualitative interviews with 23 researchers (n = 18) and practitioners (n = 5). We purposively sampled participants and identified additional participants through recommendations. Interviews were inductively analyzed. Key concepts were identified via iterative description, comparison, and conceptualization.
Results:
Engagement with people in the system was typically focused in earlier stages of PSM approaches, while engagement with decision makers occurred throughout a project. PSM approaches benefited researchers (e.g., improving the relevance of research) and practitioners (e.g., promoting systems thinking). Both benefited from the visual, intuitive nature of PSM and the ability of PSM to reflect partners’ input transparently. Facilitators included trusting relationships and conducting practice-driven research. Participants emphasized the need to improve funding opportunities for engagement and increase training in systems modeling facilitation.
Conclusions:
Our findings can help move the field towards fully partnered and impactful implementation research that addresses the systems problems. While PSM approaches are promising, if not done according to best practices of partnered research, they will reproduce existing power imbalances and consultative engagement patterns between community partners and academics.