The relationship between intelligent systems and their environment is at the forefront of research in cognitive science. The Unexplained Intellect: Complexity, Time, and the Metaphysics of Embodied Thought shows how computational complexity theory and analytic metaphysics can together illuminate long-standing questions about the importance of that relationship. It argues that the most basic facts about a mind cannot just be facts about mental states, but must include facts about the dynamic, interactive mental occurrences that take place when a creature (...) encounters its environment. In a discussion that is organised into four clear parts, Christopher Mole begins by examining the mathematics of computational complexity, arguing that the results from complexity theory create a puzzle about how human intelligence could possibly be explained. Mole then uses the tools of analytic metaphysics to draw a distinction between mental states and dynamic mental entities, and shows that, in order to answer the complexity-theoretic puzzle, dynamic entities must be understood to be among the most basic of mental phenomena. The picture of the mind that emerges has important implications for our understanding of intelligence, of action, and of the mind’s relationship to the passage of time. The Unexplained Intellect is the first book to bring insights from the mathematics of computational complexity to bear in an enquiry into the metaphysics of the mind. It will be essential reading for scholars and researchers in the philosophy of mind and psychology, for cognitive scientists, and for those interested in the philosophical importance of complexity. (shrink)

The papers in this volume reflect much of the current unease of a world that perceives itself once more at the edge of chaos. The authors present different vistas of that experience and their inherent dialectic, expressed in numerous and ceaseless conflicts between ordering and disordering processes. They can be read as comments on the ongoing processes that lead toward greater complexity.

It is shown that time may be appreciated in at least two senses: chronological and dynamical. Chronological time is the time of our naïve acquaintance as transient beings. At its most extensive scale, it corresponds to history encompassing both the abiotic and the biotic universe. Dynamical time, deriving from classical mechanics, is the time embraced by most of the laws of physics. It concerns itself only with present conditions since it is held that that the (...) past may be reconstructed from the present and the future predicted from the present, a position known as Laplacian determinism.Nonlinear dynamics has shown the fallacy of this supposition: The concrete values that may be assumed in the variables of the equations of motion constituting the laws of physics as a result of the spontaneous or intentional interaction of subject or measuring systems and of object or measured systems cannot be of infinite precision. Indeed, even if they could be, it is not at all clear that they would permit Laplacian determinism because of what is thought to be the ubiquity of K-flow dynamics in nature in which even infinite past information leading to the present cannot yield prediction of the future. In consequence, nonlinear dynamics, in rebellion against dynamical time, generates a primitive form of history distinguishing past, present, and future that may be termed nonlinear dynamical hysteresis.When nonlinear dynamics came to be complemented with semiotic modulation through the implement of symbol-mediated language as first instantiated through the communicating as opposed to the merely dynamically interacting molecular complexes of the cell, what can be termed semiotic hysteresis was born. The paper attempts to show that indefinitely evolving complexity, sustainability, justice, and meaning are indissolubly bound with chronological time in the sense of semiotic hysteresis : This semiotic hysteresis yields the indefinite evolutionary time of the living condition—including culture. (shrink)

There is a widespread assumption that the universe in general, and life in particular, is 'getting more complex with time'. This book brings together a wide range of experts in science, philosophy and theology and unveils their joint effort in exploring this idea. They confront essential problems behind the theory of complexity and the role of life within it: what is complexity? When does it increase, and why? Is the universe evolving towards states of ever greater complexity and (...) diversity? If so, what is the source of this universal enrichment? This book addresses those difficult questions, and offers a unique cross-disciplinary perspective on some of the most profound issues at the heart of science and philosophy. Readers will gain insights in complexity that reach deep into key areas of physics, biology, complexity science, philosophy and religion. (shrink)

BackgroundGeneral practitioners often act as gatekeeper, authorizing patients’ access to hospital care. This gatekeeping role became even more important during the current COVID-19 crisis as uncertainties regarding COVID-19 made estimating the desirability of hospital referrals (for outpatient or inpatient hospitalization) complex, both for COVID and non-COVID suspected patients. This study explored Dutch general practitioners’ experiences and ethical dilemmas faced in decision making about hospital referrals in times of the COVID-19 pandemic.MethodsSemi-structured interviews with Dutch general practitioners working in the Netherlands (...) were conducted. Participants were recruited via purposive sampling. Thematic analysis was conducted using content coding.ResultsFifteen interviews were conducted, identifying four themes: one overarching regarding (1) COVID-19 uncertainties, and three themes about experienced ethical dilemmas: (2) the patients’ self-determination vs. the general practitioners’ paternalism, (3) the general practitioners’ duty of care vs. the general practitioners’ autonomy rights, (4) the general practitioners’ duty of care vs. adequate care provision.ConclusionsLack of knowledge about COVID-19, risks to infect loved ones, scarcity of hospital beds and loneliness of patients during hospital admission were central in dilemmas experienced. When developing guidelines for future crises, this should be taken into account. (shrink)

Owing to intensive development of the theory of self-organization of complex systems called also synergetics, profound changes in our notions of time occur. Whereas at the beginning of the 20th century, natural sciences, by picking up the general spirit of Einstein's theory of relativity, consider a geometrization as an ideal, i.e. try to represent time and force interactions through space and the changes of its properties, nowadays, at the beginning of the 21st century, time turns to (...) be in the focus of attention. It turns to be possible to represent space through time, because synergetics shows that historical and evolutionary stages of development of a complex structure can be found now, in its present spatial configuration. A whole series of paradoxical notions, such as "the influence of the future upon the present", a "possibility of touching of a rather remote future today", "availability of the past and the future now, in praesenti", "irreversibility and elements of reversibility in the course of evolutionary processes in time", "discrete unites, quanta of time", appear in synergetics. (shrink)

In deliberative argument, in political discourse, in teaching, and in casual conversation, as rhetors we often hope that our attempts at interaction will have some effect on the participants in these discursive environments. The phenomena of stubbornness, however, would seem to suggest that, despite our efforts, there are times when rhetoric just doesn't work. This dissertation complicates this premise, and in so doing complicates common understandings of both stubbornness and rhetorical effect. As I argue, rhetorical effects exist within a (...) class='Hi'>complex rhetoric system, within which they circulate and are interconnected with a diversity of other rhetorical and non-rhetorical elements. Using N. Katherine Hayles's concept of "making the cut," I argue that within such complex systems, stability and change are tangled up in an interdependent relationship; in short, in order for complexity to exist it must be constrained by contingent stabilities. These necessary stabilities mask the way that systems are always moving, and so we often do not see changes in the rhetoric systems we inhabit. In this sense, these changes are compensatory, and they work to maintain a stability that can manifest precisely as stubbornness. In delineating what I call a "rhetoric-systems" approach, this dissertation maps the stabilities and movements of several different rhetoric systems, and provides new insight into the complex and relational movement of rhetorical effect. Our use of this approach asks us to recognize the existence and value of certainty and stability, and then to pull back and recognize the existence of complexity and change. The approach integrates insights from systems theory into existing rhetorical theory, and in so doing models an interdisciplinary approach to public rhetorics and writing studies that is firmly grounded in rhetorical theory. (shrink)

The nature of time is perceived by intellectuals variedly. An attempt is made in this paper to reconcile such varied views in the light of the Upanishads and related Indian spiritual and philosophical texts. The complex analysis of modern mathematics is used to represent the nature and presentation physical and psychological times so differentiated. Also the relation between time and energy is probed using uncertainty relations, forms of energy and phases of matter.

This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays. First, two kinds of common activation functions appearing in the existing references are combined together and more general assumptions are given. To achieve our aim, a nonlinear delayed controller with two independent parameters different from the existing ones is provided, which leads to great difficulty. To overcome it, a newly developed inequality is used. Then, via Lyapunov function approach, some criteria are (...) derived to guarantee the finite-time synchronization of the considered system, and the settling time for synchronization is also estimated. Finally, two numerical simulations are given to support the effectiveness and advantages of the obtained results. (shrink)

This article investigates the categories of variegated social formations and structural historical heterogeneity, which have been developed from Latin American Marxism as a theoretical attempt that aims to account for the complexity of the debates around historical time. For this, the work of René Zavaleta Mercado (Bolivia) and Aníbal Quijano (Peru) is analyzed, revealing their connections and divergences. It is concluded that there are important meeting points, but also disagreements.

In the dissertation we study the complexity of generalized quantifiers in natural language. Our perspective is interdisciplinary: we combine philosophical insights with theoretical computer science, experimental cognitive science and linguistic theories. -/- In Chapter 1 we argue for identifying a part of meaning, the so-called referential meaning (model-checking), with algorithms. Moreover, we discuss the influence of computational complexity theory on cognitive tasks. We give some arguments to treat as cognitively tractable only those problems which can be computed in polynomial (...) class='Hi'>time. Additionally, we suggest that plausible semantic theories of the everyday fragment of natural language can be formulated in the existential fragment of second-order logic. -/- In Chapter 2 we give an overview of the basic notions of generalized quantifier theory, computability theory, and descriptive complexity theory. -/- In Chapter 3 we prove that PTIME quantifiers are closed under iteration, cumulation and resumption. Next, we discuss the NP-completeness of branching quantifiers. Finally, we show that some Ramsey quantifiers define NP-complete classes of finite models while others stay in PTIME. We also give a sufficient condition for a Ramsey quantifier to be computable in polynomial time. -/- In Chapter 4 we investigate the computational complexity of polyadic lifts expressing various readings of reciprocal sentences with quantified antecedents. We show a dichotomy between these readings: the strong reciprocal reading can create NP-complete constructions, while the weak and the intermediate reciprocal readings do not. Additionally, we argue that this difference should be acknowledged in the Strong Meaning hypothesis. -/- In Chapter 5 we study the definability and complexity of the type-shifting approach to collective quantification in natural language. We show that under reasonable complexity assumptions it is not general enough to cover the semantics of all collective quantifiers in natural language. The type-shifting approach cannot lead outside second-order logic and arguably some collective quantifiers are not expressible in second-order logic. As a result, we argue that algebraic (many-sorted) formalisms dealing with collectivity are more plausible than the type-shifting approach. Moreover, we suggest that some collective quantifiers might not be realized in everyday language due to their high computational complexity. Additionally, we introduce the so-called second-order generalized quantifiers to the study of collective semantics. -/- In Chapter 6 we study the statement known as Hintikka's thesis: that the semantics of sentences like ``Most boys and most girls hate each other'' is not expressible by linear formulae and one needs to use branching quantification. We discuss possible readings of such sentences and come to the conclusion that they are expressible by linear formulae, as opposed to what Hintikka states. Next, we propose empirical evidence confirming our theoretical predictions that these sentences are sometimes interpreted by people as having the conjunctional reading. -/- In Chapter 7 we discuss a computational semantics for monadic quantifiers in natural language. We recall that it can be expressed in terms of finite-state and push-down automata. Then we present and criticize the neurological research building on this model. The discussion leads to a new experimental set-up which provides empirical evidence confirming the complexity predictions of the computational model. We show that the differences in reaction time needed for comprehension of sentences with monadic quantifiers are consistent with the complexity differences predicted by the model. -/- In Chapter 8 we discuss some general open questions and possible directions for future research, e.g., using different measures of complexity, involving game-theory and so on. -/- In general, our research explores, from different perspectives, the advantages of identifying meaning with algorithms and applying computational complexity analysis to semantic issues. It shows the fruitfulness of such an abstract computational approach for linguistics and cognitive science. (shrink)

In the modern scientific literature, there are many reports about the successful application of neural network technologies for solving complex applied problems, in particular, for modeling the urban real estate market. There are neural network models that can perform mass assessment of real estate objects taking into account their construction and operational characteristics. However, these models are static because they do not take into account the changing economic situation over time. Therefore, they quickly become outdated and need frequent (...) updates. In addition, if they are designed for a specific city, they are not suitable for other cities. On the other hand, there are several dynamic models taking into account the overall state of the economy and designed to predict and study the overall price situation in real estate markets. Such dynamic models are not intended for mass real estate appraisals. The aim of this article is to develop a methodology and create a complex model that has the properties of both static and dynamic models. Moreover, our comprehensive model should be suitable for evaluating real estate in many cities at once. This aim is achieved since our model is based on a neural network trained on examples considering both construction and operational characteristics, as well as geographical and environmental characteristics, along with time-changing macroeconomic parameters that describe the economic state of a specific region, country, and the world. A set of examples for training and testing the neural network were formed on the basis of statistical data of real estate markets in a number of Russian cities for the period from 2006 to 2020. Thus, many examples included the data relating to the periods of the economic calm for Russia, along with the periods of crisis, recovery, and growth of the Russian and global economy. Due to this, the model remains relevant with the changes of the international economic situation and it takes into account the specifics of regions. The model proved to be suitable for solving the following tasks: industrial economic analysis, company strategic and operational management, analytical and consulting support of investment, and construction activities of professional market participants. The model can also be used by government agencies authorized to conduct public cadastral assessment for calculating property taxes. (shrink)

Time series forecasting is a well-known deep learning application field in which previous data are used to predict the future behavior of the series. Recently, several deep learning approaches have been proposed in which several nonlinear functions are applied to the input to obtain the output. In this paper, we introduce a novel method to improve the performance of deep learning models in time series forecasting. This method divides the model into hierarchies or levels from simpler to more (...) complex ones. Simpler levels handle smoothed versions of the input, whereas the most complex level processes the original time series. This method follows the human learning process where general/simpler tasks are performed first, and afterward, more precise/harder ones are accomplished. Our proposed methodology has been applied to the LSTM architecture, showing remarkable performance in various time series. In addition, a comparison is reported including a standard LSTM and novel methods such as DeepAR, Temporal Fusion Transformer, NBEATS and Echo State Network. (shrink)

With the innovation of computer, virtual clothing has also emerged. This research mainly discusses the real-time animation complex of interactive clothing design based on computer simulation. In the process of realizing virtual clothing, the sample interpolation synthesis method is used, and the human body sample library is constructed using the above two methods first, and then, the human body model is obtained by interpolation calculation according to the personalized parameters. Building a clothing model is particularly important for the (...) effect of trying on. The clothing that needs to be displayed can be scanned and then input into the computer to build the model. The model can be directly built in 3DMAX and other software and then its surface texture can be mapped, or the clothing model can be directly built. The 3D model in the 3ds file is loaded by the loop body nested switch branch selection structure. Correspondingly, the write-back operation of 3ds files is similar. Just follow the general structure of the 3ds file and write the root block, version information block, edit information block, key frame information block, etc. to a brand new file in sequence. The main reason for this article to perform the 3ds file write-back operation is that, after the clothing model is dynamically simulated through the dynamic principle, the deformed key animation frame needs to be saved as a 3ds file so that it can be further imported into the 3DSMAX software and generated by the renderer, form high-quality picture information, and finally get high-definition animation video. In the CPU-GPU hybrid method, modules such as force calculation, collision processing, and position update use the GPU method, while overstretching is processed by the CPU method, making the overall performance 10 times higher than the pure CPU method. This research helps to promote the development of 3D virtual clothing design. (shrink)

We show that the satisfiability problem for the monodic guarded, loosely guarded, and packed fragments of first-order temporal logic with equality is 2Exptime-complete for structures with arbitrary first-order domains, over linear time, dense linear time, rational number time, and some other classes of linear flows of time. We then show that for structures with finite first-order domains, these fragments are also 2Exptime-complete over real number time and hence over most of the commonly used linear flows (...) of time, including the natural numbers, integers, rationals, and any first-order definable class of linear flows of time. (shrink)

In the eighteenth century, the sciences and their applications adopted a new attitude based on quantification and, increasingly, on a notion of precision. Within this process, instruments played a significant role. However, while new devices such as the micrometer, telescope, and pendulum clock embodied a formerly unknown potential of precision, this could only be realized by defining a set of practices regulating their application and control. The paper picks up the case of pendulum clocks used in eighteenth-century observatories in order (...) to show the process of learning in the course of which the pendulum clock first became a precision instrument. By examining the results of an especially developed statistical analysis, conducted to compare the performance of eighteenth-century clocks, it highlights the diversity of conditions, attitudes, and manners of handling that are characteristic for the epoch. In this way, it underlines the necessity of standardization of timekeeping practices rather than exclusively focusing on the technological development of clocks. Ultimately, the paper discusses the role of makers and users in order to show the evolution of a “precision instrument.”. (shrink)

Perhaps the central focus of American bioethics has been to push against medical paternalism on the grounds that it impedes the autonomy of patients—that is, their ability to make choices of their...

The proposed paper recaptures the concept of Phoenix Complex introduced by Spanish philosopher Michael Marder during his eight-session seminar held in The New Centre for Research & Practice. In a nutshell, the concept denotes a set of cosmological and natural philosophical implications rooted in human psyche, precisely beliefs, persuasions and attitudes regarding the infinite rebirth, fecundity and renewability of nature, its resources, entities, space in general. To overcome this attitude, Marder iterates, this set must be worked through as if (...) it was any other thinkable complex in psychoanalytical / psychotherapist practice. In the paper, I argue that: Marder’s concept is aligned with a tendency in history and contemporary philosophy known today as ‘correlationism’; the grounding thesis of the attitudes of Phoenix Complex is a strong metaphysical claim about the nature of time, namely, one’s postulating of time’s infinity; finally, opposing to this metaphysical claim an opposite metaphysical principle that is defined as ‘finitude principle’, I would propose my own solution, a practice and approach of overcoming the Phoenix Complex, within the realm of nihility of time and particular consequences which are legitimate to be inferred from facticity of the latter. (shrink)

Resumen: Este artículo plantea la tesis que la complejidad humana es directamente proporcional a la consideración y estudio de múltiples temporalidades, todas las cuales tienen una base común la biología. Esta tesis se articula en dos argumentos. El primero sostiene que la complejidad en general es el tiempo mismo, lo cual significa directa e inmediatamente que el tiempo no es simplemente una variable. El segundo afirma la necesidad y la importancia de una epistemología del tiempo. Este segundo argumento emerge como (...) una subtesis, relativamente a la tesis principal. Al final se concluyen dos cosas: a) que la base material de la ciencia no es hoy ya la física, sino la biología; sin embargo, biología y cultura constituyen una sólida unidad, algo que es evidente gracias a la epigenética; b) que los actos humanos pueden explicarse a partir de temporalidades diferentes anteriores al segundo, las cuales se proyectan a escalas más amplias y densas. Las ciencias sociales y humanas pueden enriquecerse enormemente a partir de un cuadro semejante.: This paper claims that human complexity is directly proportional to considering and studying various times, all of which have a common ground in biology. The claim brought out entails a twofold argument. One says that complexity in general is time, which means straightforwardly that time is not a sheer variable. The second argument argues about the need for and importance of an epistemology of time. The latter argument emerges a second claim vis-à-vis the main one. At the end two clear cut conclusions are drawn, thus: a) the material ground for science is nowadays not physics any more but biology; however, biology and culture make a solid unity, something that is made evident thanks to epigenetics; b) human actions can be explained by virtue of different times prior to a second, all of which are projected onto larger and more dense time scales. The human and social sciences can benefit enormously from such a depicted frame. (shrink)

Bernard Stiegler depicts technics as the human's tertiary memory retention generating a pharmakon with both curative and malignant potential. He additionally rues the posthuman epoch's depletion of a 'time of the question': revealed in the prevalent inaptitude for wisdom -scilicet long-term acuity. We offer Christian liturgy as an abeyant psychotechnique arcing the current pharmakon to cure through soliciting a 'time of the question'. Rejuvenating Christian liturgy as a psychotechnique can bolster a broader societal 'time of the question'. (...) Firstly, we describe technic's du jour mise on scène. Secondly, we constrain Christian liturgies as complex systems incorporating malleability, temporality, and instability. Thirdly, we imagine Christian liturgy as empty tradition allowing amateur repetition of ancient art enticing a 'time of the question'. (shrink)

Dragon boat sport is a traditional activity in China. In recent years, dragon boat sport has become more and more popular around the world. In order to face more challenges, it is urgent for athletes to enhance their own strength. Scientific training methods are particularly important for athletes, and accurate training data are the basis to support scientific training. Traditional mathematical statistic methods neither can sample signals accurately nor can they do real-time analysis and feedback the characteristics to each (...) athlete. In this paper, we use the wearable device with a triaxial accelerometer and heart rate sensor builtin to sample the speed signals and heart rate signals of athletes in various stages of men’s 1000m straight race. Based on the complex network theory, we regard the 23 dragon boat athletes in the dragon boat race as 23 nodes so as to establish a network with 23 nodes and reflect the importance of nodes by measuring the impact of node deletion on the results of the race. The neural network multilayer perceptron model is used for training to obtain the optimal combined value with speed and heart rate for each race stage. The optimal value will be used in the simulated race as the target value to verify if it can help to improve the training efficiency. Experimental results show that the optimal value obtained by this method has a positive effect on the results of the dragon boat race which is beneficial to sports training and tactics planning. (shrink)

This article is related to the issue of fixed-time synchronization of different dimensional complex network systems with unknown parameters. Two suitable adaptive controllers and dynamic parameter estimations are proposed such that the complex network driving and response systems can be synchronized in the settling time. Based on fixed-time control theory and Lyapunov functional method, novel sufficient conditions are provided to guarantee the synchronization within the fixed times, and the settling times are explicitly evaluated, which are (...) independent of the initial synchronization errors. Finally, a numerical example is given to illustrate the effectiveness of the proposed control algorithms. (shrink)

Michel ALHADEFF-JONES, Time and the Rhythms of Emancipatory Education : Rethinking the Temporal Complexity of Self and Society, Abingdon-on-Thames, New York, Routledge, 2016, 238 p. Le travail de Michel Alhadeff-Jones interroge la manière dont nous prenons en compte et dont nous vivons l'expérience du temps en éducation. Il vise à expliciter les différents rythmes vécus ou observés et les influences qui les relient. Il s'agit d'élucider, - Recensions.

This work is a generalization of the López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) complexity measures, considering that the state of a system or process is represented by a continuous temporal series of a dynamical variable. As the two complexity measures are based on the calculation of informational entropy, an equivalent information source is defined by using partitions of the dynamical variable range. During the time intervals, the information associated with the measured dynamical variable is (...) the seed to calculate instantaneous LMC and SDL measures. To show how the methodology works generating indicators, two examples, one concerning meteorological data and the other concerning economic data, are presented and discussed. (shrink)

Writing reflects some of the different characteristics of the language being used and of the people who are communicating. The present paper focusses on the internal written communication in international and inter-disciplinary research projects. Using a case study of an international public health research project, it argues that the authorship and the languages used in internal project communication are not neutral but help to generate or reinforce power hierarchies. Within research partnerships, language thus raises ethical issues that have so far (...) been neglected. Current ethics guidelines often focus on interactions between scientists and participants of social research and clinical trials, with less attention paid to the interactions among the scientists themselves. Describing all the different project phases based on writing within a research project, the paper distinguishes different influences on the distribution of power that emerge through a focus on written communication. The focus of the present paper is to illuminate the issues of ethics, power and the dimensions of hierarchy, physical location and native versus non-native English speakers that arise from paying attention to such communications. (shrink)