In dynamic system control, cognitive mechanisms and abilities underlying performance may vary depending on the nature of the task. We therefore investigated the effects of system structure and its interaction with cognitive abilities on system control performance. A sample of 127 university students completed a series of different system control tasks that were manipulated in terms of system size and recurrent feedback, either with or without a cognitive load manipulation. Cognitive abilities assessed included reasoning (...) ability, working memory capacity, and cognitive reflection. System size and recurrent feedback affected overall performance as expected. Overall, the results support that cognitive ability is a good predictor of performance in dynamic system control tasks but predictiveness is reduced when the system structure contains recurrent feedback. We discuss this finding from a cognitive processing perspective as well as its implications for individual differences research in dynamic systems. (shrink)

Contemporary architecture is increasingly grounded in science and mathematics. Architectural discourse has shifted radically from the sometimes disorienting Derridean deconstruction, to engaging scientific terms such as fractals, chaos, complexity, nonlinearity, and evolving systems. That's where the architectural action is -- at least for cutting-edge architects and thinkers -- and every practicing architect and student needs to become conversant with these terms and know what they mean. Unfortunately, the vast majority of architecture faculty are unprepared to explain them to students, not (...) having had a scientific education themselves. Here is an architecture book by an architect/scientist, just in time to help architects in the new millennium. Alexander discusses many of the scientific terms arising in cutting-edge architecture, and explains them to those who don't have scientific training or advanced mathematical knowledge. We find discussions of the evolution of forms; the importance of process in design; iteration; genetic algorithms; sequences of transformations; different levels of scale (i.e. fractals); etc. They are explained here by an architect who is also a scientist, because he wants to change the way architects think and build. Alexander is not merely popularizing other scientists' results and making them accessible to architects: he is in fact presenting new and original scientific work that ties many of these concepts together in a way that will be useful to architects. (shrink)

Decomposition—the analytic strategy of partitioning a system into subsystems whose local dynamics and interaction terms suffice to reproduce the whole—is among the most productive methods in science. This paper identifies a class of systems for which decomposition necessarily fails. When a system’s activity is recursively self-conditioned, preserves its own ongoing identity under perturbation, and is continuously and globally integrated through the physical interactions that realize it, any attempt to factor its coordination into separable subsystems either breaks the recursive (...) identity-preserving structure, introduces covert global variables that vitiate the decomposition, or fails to reproduce the system’s trajectory under perturbation. The failure is not practical but structural: it follows from the conjunction of conditions, not from measurement limitations. The class of systems satisfying these conditions is characterized, the proof of decomposition failure is developed, and the empirical signatures of non-decomposability are specified. The paper concludes by identifying the regime in which these conditions jointly obtain. (shrink)

It is certainly challenging to attempt a complete description of even the main characteristics of complex systems. Therefore, I will only address those features that are of major concern to this book.

A rapidly growing body of scholarship shows that we can gain new insights into theories and policies by understanding and increasing their systemic structure. This paper will present an overview of this expanding field and discuss how concepts of structure are being applied in a variety of contexts to support collaboration, decision making, learning, prediction, and results. Next, it will delve into the underlying structures of logic that may be found within those theories and policies. Here, we will (...) go beyond Toulmin’s logics of claim and proof that have not proven useful for advancing the social sciences and focus on five structures of “causal logic.” The results suggest a useful and more comprehensive approach to developing deeper understanding of our conceptual systems such as theory and policy. (shrink)

Colour is, according to prevailing orthodoxy in perceptual psychology, a kind of autonomous and unitary attribute. It is regarded as unitary or homogeneous by assuming that its core properties do not depend on the type of ‘perceptual object’ to which it pertains and that‘colour per se’ constitutes a natural attribute in the functional architecture of the perceptual system. It is regarded as autonomous by assuming that it can be studied in isolation of other perceptual attributes. These assumptions also provide (...) the pillars for the technical field of colorimetry, and have proved very fruitful for neurophysiological investigations into peripheral colour coding. They also have become, in a technology-driven cultural process of abstraction, part of our common-sense conception of colour. With respect to perception theory, however, both assumptions are grossly inadequate, on both empirical and theoretical grounds. All the same, the idea of an internal homogeneous and autonomous attribute of ‘colour per se’, mostly taken not as an empirical hypothesis but as a kind of truism, became a guiding idea in perceptual psychology. Here, it has impeded the identification of relevant theoretical issues and consequently has become detrimental for the development of explanatory frameworks for the role of ‘colour’ within the structure of our perceptual system. The chapter argues that enquiries into colour perception cannot be divorced from general enquiries into the structure of the conceptual forms underlying perception. (shrink)

The terms ‘structural injustice’ and ‘systemic injustice’ are commonly used, but their meanings are elusive. In this paper, I sketch an ontology of social systems that embeds accounts of social structures, relations, and practices. On this view, structures may be intrinsically problematic, or they may be problematic only insofar as they interact with other structures in the system to produce injustice. Because social practices that constitute structures set the backdrop for agency and identity, socially fluent agents reproduce the systems, (...) often unknowingly and unintentionally. The account aims to capture how agents both depend on and enact structures, and do so in ways that, as Ta-Nehisi Coates says, ‘land on the body’. (shrink)

This paper defines thought as a latent generative flow prior to realization and proposes Thought Structuring Architecture (TSA) as a conceptual framework for explaining how cognitive structure, formed through sensing, resonance, and structuring, enables the formation of a sustained system of production. -/- While existing cognitive theories tend to interpret thought as something generated internally, this study redefines thought as a condition of generation that enters from outside and shifts the focus from thought itself to the structure (...) that receives and organizes it. Meaning, in this context, is not generated within artificial intelligence, but is formed within human cognitive structure and produced into reality through that structure. -/- TSA defines human cognition as a structured system composed of sensing, resonance, directionality, and continuity. Thought is sensed and enters a latent phase within cognition prior to realization. Its production is organized under the conditions of structure, and when points of contact within patterns of thought are causally linked, mind is organized into structure. Once formed, structure determines the direction of thought and enables sustained production by receiving successive thought in accordance with its density. -/- Within this framework, artificial intelligence does not function as a generator of meaning, but operates as an interface that executes structured human cognition and connects it to reality. The outputs of artificial intelligence vary according to the alignment, directionality, and continuity of human cognitive structure, indicating that generation is determined not by technological capability, but by structural conditions. -/- This study further explains how generation is maintained as a continuous flow rather than as isolated events, forming a generative loop that sustains and expands production over time. This process extends beyond individual cognition into organizations and systems, where civilization is understood as the sustained activation and shared continuity of structured cognition. -/- TSA is therefore a structural model of a philosophically grounded theory of cognition, integrating the sustained production of thought, the continuity of generation, and the expansion into civilization as a single structural process, and providing a framework for understanding cognition as a self-generative structure. (shrink)

Gödel’s incompleteness theorems are often treated either as purely technical results with no broader philosophical significance or as evidence for far-reaching metaphysical conclusions. This paper rejects both extremes. I argue that incompleteness is best understood as revealing a structural limitation of formal representation rather than a contingent defect of particular axiomatic systems or an epistemic shortcoming of mathematical practice. After clarifying what Gödel’s theorems do and do not establish, I critically examine formalist, Platonist, and instrumentalist interpretations, showing that none adequately (...) accounts for the systematic persistence of incompleteness across expressive formal frameworks. I propose a conceptually modest notion of ontological excess to characterize the mismatch between formal systems and what they represent, without invoking speculative ontology or empirical claims. On this view, incompleteness reflects limits of formal capture, not limits of truth or knowledge. The result is a restrained account of the philosophical significance of Gödelian incompleteness, with implications for metaphysical explanation and scientific realism that remain firmly within the bounds of logical analysis. (shrink)

Science and technology drive research progress but also introduce growing risks, value conflicts and ethical challenges. Science and technology ethics review committees (STERCs) serve as key institutional mechanisms to ensure that scientific activities comply with ethical principles and professional norms. However, the establishment of STERCs worldwide remains at an early developmental stage, and structured, systematic criteria for evaluating their quality are largely absent. This study aims to develop a structured evaluation indicator system for STERCs and to explore its preliminary (...) applicability. This study conducted a literature review and qualitative interviews to develop a preliminary evaluation indicator system, which was organized using Donabedian’s three-dimensional framework of structure, process, and outcome. The final indicator system was established after two rounds of expert consultation. The preliminary self-assessment data were collected from 80 medical institutions and 19 companies across 14 cities in Hunan Province. Both rounds of the Delphi consultation achieved a 100% response rate. The mean authoritative coefficient (Cr) was 0.900, while familiarity (Cs) and judgment basis (Ca) scores were 0.867 and 0.933, respectively. Kendall’s coefficient of concordance (Kendall’s W) was 0.300 (p < 0.001) in round one and 0.213 (p < 0.001) in round two. The final evaluation indicator system consisted of three first-level indicators, nine second-level indicators and 52 third-level indicators. This study proposes a unified framework for science and technology ethics review, integrating activities involving humans, animals, and other potential technological risks into a single evaluation system. The indicator system supports institutional self-assessment, promotes standardization, and guides continuous improvement. Preliminary findings indicate its feasibility and internal consistency, but these results should be interpreted cautiously due to the limited sample scope and reliance on self-reported data. (shrink)

Recent work by Frigg et. al. and Mayo-Wilson have called attention to a particular sort of error associated with attempts to model certain complex systems: structural modeling error. The assessment of the degree of SME in a model presupposes agreement between modelers about the best way to individuate natural systems, an agreement which can be more problematic than it appears. This problem, which we dub “the system individuation problem” arises in many of the same contexts as SME, and the (...) two often compound one another. This paper explores the common roots of the two problems in concerns about the precision of predictions generated by scientific models, and discusses how both concerns bear on the study of complex natural systems, particularly the global climate. (shrink)

A fresh reading of Christian theology, re-interpreting discussions of theological method and considering them in light of contemporary philosophical debates. It re-evaluates the traditional theological warrants (scripture, tradition and reason) and the concept of systematic theology, arguing that Christian theology is inherently systematic.

Greedy desire is the core driver of human civilizational crisis, yet no unified dynamic model spanning the neural, social, and thermodynamic levels has been developed. This paper employs System Dynamics as its methodological framework, integrating evolutionary neuroscience, complex systems theory, and thermodynamics to construct a Three-Level Greedy Positive-Feedback Model (3L-GFM). At the neural level, the model captures the dual positive-feedback structure of the dopaminergic reward circuit and the amygdala anxiety system, along with the negative-feedback intervention mechanism mediated (...) by mindfulness cultivation through the prefrontal cortex. At the social level, the model describes the mutual nesting of three key positive-feedback loops: the wealth-power-policy triangle, the information monopoly–cognitive control loop, and the military-industrial complex loop. At the thermodynamic level, the model takes entropy increase rate as its core variable, constructing a physical description of the civilizational cancer process driven by greedy desire. The three levels are coupled through the Desire Amplification Factor (DAF) and the Cosmic Constraint Function (CCF). Simulation analysis reveals three critical bifurcation points — the Neural Tipping Point (NTP), the Social Tipping Point (STP), and the Thermodynamic Tipping Point (TTP) — before which the system retains self-repair capacity and after which positive feedback dominates and the system trends toward irreversible collapse. Simulations of Natural Cybernetics intervention strategies demonstrate that implementing intergenerational constraint institutionalization, ecological red-line anchoring, and entropy responsibility accounting before tipping points can guide the system toward a low-entropy stable state. 贪婪欲望是人类文明危机的核心驱动力，但迄今缺乏一个跨越神经、社会与热力学三个层次的统一动力学模型。本文以系统动力学（System Dynamics）为方法论框架，整合进化神经科学、复杂系统理论与热力学，构建贪婪欲望的三层次正反馈模型（3L-GFM：Three-Level Greedy Positive-Feedback Model）。在神经层次，模型捕捉多巴胺奖励回路与杏仁核焦虑系统的双重正反馈结构，以及正念修炼通过前额叶皮层介导的负反馈干预机制；在社会层次，模型描述财富-权力-政策三角、信息垄断-认知控制与军工复合 体三条关键正反馈回路的相互嵌套；在热力学层次，模型以熵增速率为核心变量，建立贪婪欲望驱动的文明癌症过程的物理描述。三个层次通过「欲望放大系数」（DAF：Desire Amplification Factor）和「宇宙约束函数」（CCF：Cosmic Constraint Function）实现耦合。仿真分析揭示：文明系统存在三个关键分叉点——神经临界点（NTP）、社会临界点（STP）和热力学临界点（TTP）——在此之前系统具有自我修复能力，在此之后正反馈主导，系统趋向 不可逆崩溃。自然控制论干预策略的仿真表明，在临界点之前实施代际约束制度化、生态红线锚定和熵责任核算，可将系统导向低熵稳态。 . (shrink)

The quality of early childhood education and care (ECEC) is important for children’s development. One instrument that was developed to assess an aspect of ECEC quality is the Classroom Assessment Scoring System for pre-kindergarten children (CLASS Pre-K). We examined the factorial validity of the instrument using data from 177 German preschool classrooms. The three-factor teaching through interaction model (Hamre et al., 2013) was contrasted to a one-factor, a two-factor, and a bifactor model as proposed by Hamre et al. (2014). (...) Our results indicated that the three-factor structure with the domains of emotional support, classroom organization, and instructional support fit the data best. The fit of the teaching through interaction model was satisfying after adding a cross-loading of the dimension language modeling on emotional support, and two correlated residuals. Evidence of convergent and discriminant validity are provided. In terms of factor structure and pattern score comparisons, the results were similar to previous U.S. and German studies. The discussion concerns the justifiability of the factor model revisions and draws directions for further research. We concluded that our study offers further evidence of the applicability of the CLASS Pre-K for the assessment of teacher-child interaction quality in the German context. (shrink)

Haptic-based vibrotactile biofeedback (BF) is a promising technique to improve rehabilitation of balance in stroke patients. However, the extent to which BF training changes temporal structure of the center of pressure (CoP) trajectories remains unknown. This study aimed to investigate the effect of vibrotactile BF training on the temporal structure of CoP during quiet stance in chronic stroke patients using detrended fluctuation analysis (DFA). Nine chronic stroke patients (age; 81.56±44 months post-stroke) received a balance training regimen using a (...) vibrotactile BF system twice a week over four weeks. A Wii Balance board was used to record five 30 s trials of quiet stance pre- and post-training at 50 Hz. DFA revealed presence of two linear scaling regions in CoP indicating presence of fast- and slow-scale fluctuations. Averaged across all trials, fast-scale fluctuations showed persistent dynamics ( = 1.05 ±.08 for ML and  = 0.99 ±.17 for AP) and slow-scale fluctuations were anti-persistent ( = 0.35 ±.05 for ML and  = 0.32 ±.05 for AP). The slow-scale dynamics of ML CoP in stroke patients decreased from pre-training to post-BF training ( = 0.40 ±.13 vs. 0.31 ±.09). These results suggest that the vibrotactile BF training affects postural control strategy used by chronic stroke patients in the ML direction. Results of the DFA are further discussed in the context of balance training using vibrotactile BF and interpreted from the perspective of intermittent control of upright stance. (shrink)

A model of interrelations between various types of mentation and semiotic systems is suggested. The relations of structures, forms, and signs in different mentation processes and their effect on semiotic systems are discussed. Major features of these systems are examined from the viewpoint of simulation of changes in physical objects and human environment. Most are multilateral and are clearly structures of various systems. Their organizing role in semiotic systemity are evinced through the analysis of architectural ensembles and separate architectural works (...) (examples of Old Russian architecture and architecture of classicism). (shrink)

Structural analogies between physical laws have received considerable attention from philosospheres of science. This paper, however, focusses on structural analogies between physical systems; this type of analogy plays an important role in the physical and technological sciences. A formal, set-theoretic description of structural analogies between physical systems is presented, and it is shown that a structural analogy between systems does not require a structural analogy with regard to the laws involved, nor conversely.

Real causal systems are complicated. Despite this, causal learning research has traditionally emphasized how causal relations can be induced on the basis of idealized events, i.e. those that have been mapped to binary variables and abstracted from time. For example, participants may be asked to assess the efficacy of a headache-relief pill on the basis of multiple patients who take the pill (or not) and find their headache relieved (or not). In contrast, the current study examines learning via interactions with (...) continuous dynamic systems, systems that include continuous variables that interact over time (and that can be continuously observed in real time by the learner). To explore such systems, we develop a new framework that represents a causal system as a network of stationary Gauss--Markov (``\OU'') processes and show how such \textit{OU networks} can express complex dynamic phenomena such as feedback loops and oscillations. To assess adult's abilities to learn such systems, we conducted an experiment in which participants were asked to identify the causal relationships of a number of OU networks, potentially carrying out multiple, temporally-extended interventions. We compared their judgments to a normative model for learning OU networks as well as a range of alternative and heuristic learning models from the literature. We found that, although participants exhibited substantial learning of such systems, they committed certain systematic errors. These successes and failures were best accounted for by a model that describes people as focusing on pairs of variables, rather than evaluating the evidence with respect to the full space of possible structural models. We argue that our approach provides both a principled framework for exploring the space of dynamic learning environments as well as new algorithmic insights into how people interact successfully with a continuous causal world. (shrink)