The established definition of replication in terms of the conditions of causality, similarity and information transfer is very broad. We draw inspiration from the literature on self-reproducing automata to strengthen the notion of information transfer in replication processes. To the triple conditions of causality, similarity and information transfer, we add a fourth condition that defines a “generative replicator” as a conditional generative mechanism, which can turn input signals from an environment into developmental instructions. Generative replication must have (...) the potential to enhance complexity, which in turn requires that developmental instructions are part of the information that is transmitted in replication. Demonstrating the usefulness of the generative replicator concept in the social domain, we identify social generative replicators that satisfy all of the four proposed conditions. (shrink)

"Complexity" is a catchword of certain extremely popular and rapidly developing interdisciplinary new sciences, often called accordingly the sciences of complexity. It is often closely associated with another notably popular but ambiguous word, "information"; information, in turn, may be justly called the central new concept in the whole 20th century science. Moreover, the notion of information is regularly coupled with a key concept of thermodynamics, viz. entropy. And like this was not enough it is quite (...) usual to add one more at present extraordinarily popular notion, namely chaos, and wed it with the abovementioned concepts. It is my aim in this paper to critically analyse this conceptual mess from a logical and philosophical point of view concentrating on the concepts of complexity and information and the question concerning the true relation between them. (shrink)

Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking research in complex systems theory. Building upon foundational concepts, the volume introduces a theory of Self-Organization, providing definitions of concepts including system, structure, organization, functionality, and boundary. Biophysical and cognitive approaches to Self-Organization are also covered, discussing the complex dynamics of (...) living beings and the brain, and self-organized adaptation and learning in computational systems. The convergence of Peircean philosophy with the study of Self-Organization also provides an original pathway of research, which contributes to a dialogue between pragmatism, semeiotics, complexity theory, and self-organizing systems. As one of the few interdisciplinary works on systems theory, relating Self-Organization and Information Theory, Systems, Self-Organisation and Information is an invaluable resource for researchers and postgraduate students interested in complex systems theory from related disciplines including philosophy, physics, and engineering. (shrink)

Ludwig Wittgenstein acknowledges that the Augustinian picture also informed his earlier conception of language. The Augustinian identification of the meaning of a word with the word's referent is accepted only with a further restriction. In the Tractatus, Wittgenstein distinguishes between simple objects and the thereof composed complex objects. This chapter provides a systematic reconstruction of Wittgenstein's sometimes opaque remarks on ostensive definitions and his critique of the Augustinian picture of language. It then addresses the doctrines about names and naming (...) endorsed in the Tractatus. According to the later Wittgenstein the simple ostensive definition of a word, consisting in the utterance of the word accompanied by a pointing gesture, does not unambiguously determine the use of the word. Wittgenstein's arguments can be complemented by the observation that having the same sample is not necessary for two terms to be equivalent either. (shrink)

This paper draws on research undertaken by the authors in community well woman clinics and hospital settings. Discussion focuses on issues around informed consent and participant observation. The authors are concerned to highlight the complexity of decision-making where researchers hold dual or multiple agendas, which are sometimes in conflict. Further situational factors which affect decision-making in research settings are explored. In particular, the complexity of gaining informed consent throughout the research process is addressed. The intention is not to (...) point to definitive resolutions to the problems posed, but rather to prompt debate about the often taken for granted meaning of 'informed' consent in relationship to participant observation. Cet article est basé sur les recherches que les auteurs avaient entrepris dans des polycliniques de santé de femmes et des hôpitaux. La discussion est concentré sur les thèmes du consentement informé et l'observation participante. Les auteurs sont inquiets de montrer la complexité du processus de se décider quant les chercheurs ont un rôle double ou multiple qui peut être en conflit. D'autres éléments qui influencent la prise de décisions dans des cadres de recherche sont aussi étudiés. En particulier, la compléxité de l'acquisition du consentement informé est adressée. L'intention n'est pas d'amener à une résolution définitive du problème posé, mais plutôt d'inviter á une discussion sur le sens (trop souvent pris pour réalité) du consentment 'informé' quant il s'agit de l'observation participante. Dieser Artikel stützt auf Forschungen, die die Autoren in Frauengesundheits-Kliniken und Spitälern unternommen hatten. Die Diskussion ist hier über die Themen Informierte Zustimmung und Mitteilende Beobachtung. Die Autoren befassen sich mit der Vielschichtigkeit der Entscheidungskräfte wenn die Forscher doppelte oder mehrfache Rollen haben, die manchmal im Konflikt sein können. Andere Faktoren, die die Entscheidungsmöglichkeit beeinflussen, sind auch untersucht. Besonders wird hier die Komplexität des erhalten von informierter Zustimmungung während des Forschungsprozesses angesprochen. Die Absicht ist nicht, eine definitive Lösung des Problems zu finden, sondern eher zu einer Debatte einzuladen über die zu oft als selbstverständlich betrachtete Bedeutung der 'informierten' Zustimmung auf der Ebene der mitteilenden Beobachtung. (shrink)

The history of the idea of biological progress shows that it is not a selfexplanatory category, so a clear definition is required. Biological progress exists if: “more progressive” is defined as “more complex” – in that case evolution is synonymous with progress, i.e. development from simple to complex, from homogeneous to heterogeneous; we perceive the expression “more progressive” as more successful in relation to the environment, in these terms some groups in the history of life were more progressive because/so that (...) they survived, while others were retrogressive or less progressive because/so that they died out; on the other hand, within their ecological niches, certain forms of life are perfectly adapted to their environment as long as it is stable ; we take the span or reach of a potential adaptation of populations as a measure. However, there is no active, innovative problem solving in relation to the environment either with plants or animals – only the variability mechanism / selection is in place, automatism, instinct. In the light of the above-mentioned biological criteria, man is the most complex living creature by his constitution, he is the least dependent on the environment and can be innovative in relation to the environment. Man is the only living creature capable of establishing an active relationship with the environment through his special tool – culture. Considering the level of organization and quantity of information, the mammal genome is more progressive than the bacterium genome, while the human genome comprises most information which makes man the most progressive living thing. We can talk about biological progress if we define progressiveness as advancement toward complexity of organisation, but sometimes the simplification of structure enables survival. It seems that we can talk about progressivenessin biology only if we accept the anthropic principle – that is why only cultural progress is possible. Information is the link between biological and cultural-anthropological successfulness. Biological information is a “complete” piece of information to an animal. To a human being, it is only a condicio sine qua non for the reality of human spirit which receives, keeps and generates information. Progress can be measured according to the capability of establishing an active and innovative relationship with the environment, but only within some sort of anthropocentric outlook which is a criterion of value. It is not possible to talk about progressiveness of life if man is not the measure of all things. (shrink)

In this article, we discuss, from a complex systems perspective, possible implications of the rising dependency between autonomous human social/individual action, ubiquitous computing, and artificial intelligent systems. Investigation is made of ethical and political issues related to the application of ubiquitous computing resources to autonomous decision-making processes and to the enhancement of human cognition and action. We claim that without the feedback of fellow humans, which teaches us the consequences of our actions in real everyday life, the indiscriminate use of (...) ubiquitous computing in decision-making processes seems to be beyond the reach of any clear ethical control. We argue that the complex systems perspective may help us to foresee possible long-term consequences of our choices, in areas where human autonomous action can be directly affected by informational technologies. (shrink)

We compare the elementary theories of Shannon information and Kolmogorov complexity, the extent to which they have a common purpose, and wherethey are fundamentally different. We discuss and relate the basicnotions of both theories: Shannon entropy, Kolmogorov complexity, Shannon mutual informationand Kolmogorov (``algorithmic'') mutual information. We explainhow universal coding may be viewed as a middle ground betweenthe two theories. We consider Shannon's rate distortion theory, whichquantifies useful (in a certain sense) information.We use the communication of (...) information as our guiding motif, and we explain howit relates to sequential question-answer sessions. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Journal of Aesthetic Education 39.1 (2005) 31-47 [Access article in PDF] Holistic Integrated Design Education: Art Education in a Complex and Uncertain World Christopher Nokes Egosystem All art is the solution to an initiating design problem that must be articulated, even if the problem is this: to create something without meaning. As such, all art is a literary process, whereby the idea is articulated before that idea is (...) re-presented as an art form. And this is precisely what I attempt to do in the classroom when I assign highly challenging, universal, socio-cultural based and interpretive design problems. Both intent and solutions are implicit in the design assignments given to students. In each case the design process is emphasised, and students define the problem, research (often collaboratively), brainstorm (diving deeply into the problem for potential solutions), develop alternative solutions, use free-hand sketches and storyboarding to track the design and decision-making process, and (finally) select the best design for development and evaluation. Definition of key terms, research and storyboarding are the initial steps in the process to solving each of the design problems. Some examples of problem solving performance tasks are provided below (Table 1).Regarding the last example, in my first year of teaching I accepted a position on agreement that I teach Grade 10 (sophomore) mathematics. Even though my teaching background favored art and history, this was not a hardship because my original degree was in architecture (University of Toronto, 1978). I realized quickly that my personal romance with D.N. Perkins's Knowledge as Design demanded that I attempt to teach mathematics as a design process (much to the dismay of the department head).1 Nevertheless, imaginative mathematical works of mind were explored, based on original "design problems." As well, collaborative math tests were developed (and structured as design problems), where students divided into groups or design teams, each team having a "competent mathematician" on [End Page 31] Click for larger viewTable 1 Works of Mind; Visual Arts as a Problem-Solving Design Process [End Page 32]board. Each team worked together to solve one challenging mathematical problem, or a series of challenging mathematical design problems, under a time limit. This ensured that each student had a role to play. A key group dynamic here is that students speak to each other as peers, in a way teachers cannot: "No! You don't do it that way, silly. It's like this!" says A. "Ok! Ok! Don't yell at me," says B tenderly. "It's like this?" "Yes!" says A. "See! You really are good at math!" It was a beautiful thing to watch. The so-called "stupid-at-math" students saw how the "brainy" math students interpreted and approached mathematics, while the "brainy" students pulled those students who always believed they were "stupid at math" up to their level. In the end (to say the least), it greatly increased the weaker students' comfort level entering the classroom, and (at best) it gave weaker math students confidence by dispelling some of the mystical mystery which mathematics seems to possess — mathematics is not a mystery, it is a problem waiting to be solved as any other design problem once you know the process. Click for larger viewTable 2 Components of the Egosystem This is holistic integrated design education (or HIDE). Transforming students from the traditional, isolated receiver of information to the holistic child requires a fundamental transformation of the associative-cognitive paradigm of learning behavior and psychology, based on the child's ego development in a kind of object-filled, symbolical, self-contained world.2 In actuality, the world is complex, multi-faceted, hyper-sensitive, with many people of different socio-cultural and intellectual frames of mind interacting; and it is (thus) hardly self-contained. The world has indeed evolved that far. Somehow, like all paradigms, the ego must undergo a similar evolution, a similar transformation.3 A new version of ego must be invented, one that takes into account all the stuff of objective reality — the... (shrink)

This chapter explains the notions of information, communication and learning in the context of the complex adaptive systems theory, under the version proposed by M. Gell‐Mann. Within the class of such systems, it focuses attention on complex and self‐organized natural systems as analyzed by H. Atlan. The chapter describes the epistemological context and the formal definition of self‐organization according to H. Atlan, because this definition results from a re‐interpretation of the Shannonian theorem of the noisy channel by applying it (...) to a system organized into several hierarchical levels. It is gradually restore Atlan's construction of the notion of the meaning of information in a hierarchical system, by contrasting the principles of order from noise and organizational noise and by accordingly distinguishing the concepts of complexity and complication. The principle of complexity from noise, which lies at the heart of the concept of self‐organization proposed by H. Atlan. (shrink)

Purpose : The purpose of this paper is to bring the concept of a 'hierarchy of action', as it is currently being used in other fields, into library and information science . Design/methodology/approach Hierarchy theory is adopted to describe three hierarchies of action, which include the human processes of semantic and social innovation, as well as a system of biological interpretence, from which human processes are thought to have evolved as a development of biosemiosis in nature. By way of (...) example, it is argued that a text is a complex achievement, and hierarchy theory shows how to account for this complexity; the everyday definition of text is augmented with accounts from different levels of observation. Findings: The concept of a hierarchy of action enables a person to account for a text as a meaning/symbolic product; include in that account the processes whereby texts are produced and used; and say why these processes are important to the health of the biosphere that is called home. Originality/value Hierarchy of action has been developed as a concept in biology and ecology; it belongs to a way of thinking whereby human reality, like nature, is construed as dynamical processes operating in symbiotic relationship with each other; it has not yet been adopted in LIS with reference to hierarchy theory and its potential is yet to be explored. Keywords Hierarchy theory, Complexity theory, Process philosophy, Natural philosophy, Hierarchies of action, Complex systems, Libraries, Information science Paper type Conceptual paper. (shrink)

Complexly organized systems include biological and cognitive systems, as well as many of the everyday systems that form our environment. They are both common and important, but are not well understood. A complex system is, roughly, one that cannot be fully understood via analytic methods alone. An organized system is one that shows spatio-temporal correlations that are not determined by purely local conditions, though organization can be more or less localizable within a system. Organization and complexity can vary independently (...) to some extent, but they are interconnected: organisation requires some complexity, but complexity cannot be maximum in an organized system. I will define complexity and organization more precisely, and show how these definitions imply the above properties. Next I will discuss how organized complexity can be modelled, with an eye to limitations on the tractability of both the models and the modelling process. I will finish with some remarks on the limits of our possible understanding of complexly organized systems. Keywords: complexity, organization, modelling, holism, information theory.. (shrink)

This collection of essays examines the ways in which disputes and controversies about the application of scientific knowledge are resolved. Four concrete examples of public controversy are considered in detail: the efficacy of Laetrile, the classification of homosexuality as a disease, the setting of safety standards in the workplace, and the utility of nuclear energy as a source of power. The essays in this volume show that debates about these cases are not confined to matters of empirical fact. Rather, as (...) is seen with most scientific and technical controversies, they focus on and are structured by complex ethical, economic, and political interests. Drs. Engelhardt and Caplan have brought together a distinguished group of scholars from the sciences and humanities, who sketch a theory of scientific controversy and attempt to provide recommendations about the ways in which both scientists and the public ought to seek more informed resolutions of highly contentious issues in science and technology. Scientific Controversies is offered as a contribution to the better understanding of the roles of both science and nonscientific interests in disputes and controversies pertaining to science and technology. (shrink)

Network analysis views complex systems as networks with well-defined structural properties that account for their complexity. These characteristics, which include scale-free behavior, small worlds and communities, are not to be found in networks such as random graphs and lattices that do not correspond to complex systems. They provide therefore a robust ground for claiming the existence of “complex networks” as a non-trivial subset of networks. The theory of complex networks has thus been successful in making systematically explicit relevant marks (...) of complexity in the form of structural properties, and this success is at the root of its current popularity. Much less systematic has been, on the other hand, the definition of the properties of the building components of complex networks. The obvious assumption is that these components must be nodes and links. Generally, however, the internal structure of nodes is not taken into account, and links are serendipitously identified by the perspective with which one looks at the network to be analyzed. For instance, if the nodes are Web pages that contain information about scientific papers, one point of view will match the relevant links with hyperlinks to similar Web pages, and another with citations of other articles. We intend to contribute here a systematic approach to the identification of the components of a complex network that is based on information theory. The approach hinges on some recent results arising from the convergence between the theory of complex networks and probabilistic techniques for content mining. At its core there is the idea that nodes in a complex network correspond to basic information units from which links are extracted via methods of machine learning. Hence the links themselves are viewed as emergent properties, similarly to the broader structural properties mentioned above. Indeed, beside rounding up the theory, this approach based on learning has clear practical benefits, in that it makes networks emerge from arbitrary information domains. We provide examples and applications in a variety of contexts, starting from an information-theoretic reconstruction of the well-known distinction between “strong links” and “weak links” and then delving into specific applications such as business process management and analysis of policy making. (shrink)

In the words of Aristotle, "The state is a union of families and villagers having for an end, a perfect and self-sufficing life by which we mean a happy and honourable life. A state exists for the sake of good life and not for the sake of life only". This definition has given a clear vision on the relationship between man and the state. The state, in modern times is regarded as an important agency or in other words a human (...) organization for maintaining disciplined and a well-arranged environment for education. In contemporary world, the functions to be performed by a state are going wide day by day. So, one of the functions of a state is to give proper education and to create a proper environment for imparting knowledge among people. In a democratic country the role of state in spreading education is very much important. These states provide educational aims and objectives, open schools and colleges; arrange the syllabus and curriculum, plan, control and direct educational activities for their citizens. Performing these functions the modern states can create such an environment in every society where every citizen can be made educated enough to understand the complexities of modern world. Besides these, the modern world can make proper arrangements for research and experiments in various fields of education. For this a state should establish such institutions and organisations to inspire the eligible individuals. In a big country like India, the state makes educational policies based on needs, ideals and aspirations of the people. For this there are various administrative unites are established. Each such unites maintain an educational department of it’s own for providing liberal and vocational education up to highest standard. States also maintain one or more universities for higher education. Thus, it can be said that a state exerts it’s direct and indirect influences on all aspects of education. (shrink)

The progress of electronic health technologies and biobanks holds enormous promise for efficient research. Evidence shows that studies based on sharing and secondary use of data/samples have the potential to significantly advance medical knowledge. However, sharing of such resources for international collaboration is hampered by the lack of clarity about ethical and legal requirements for transfer of data and samples across international borders. Here, the International Clinical Trial Center Network reports the legal and ethical requirements governing data and sample exchange (...) across four continents. The most recurring requirement is ethical approval, whereas only in specific conditions approval of national health authorities is required. Informed consent is not required in all sharing situations. However, waiver of informed consent is only allowed in certain countries/regions and under certain circumstances. The current legal and ethical landscape appears to be very complex and under constant evolution. Regulations differ between countries/regions and are often incomplete, leading to uncertainty. With this work, ICN illuminates the unmet need for a single international collaborative framework to facilitate DSE. Harmonising requirements for global DSE will reduce inefficiency and waste in research. There are many challenges to realising this ambitious vision, including inconsistent terminology and definitions, and heterogeneous and dynamic legal constraints. Here, we identify areas of agreement and significant difference as a necessary first step towards facilitating international collaboration. We propose the establishment of a working group to continue the comparison across jurisdictions, create a standardised glossary and define a set of basic principles and fundamental requirements for DSE. (shrink)

The concept of quantum information is introduced as both normed superposition of two orthogonal sub-spaces of the separable complex Hilbert space and in-variance of Hamilton and Lagrange representation of any mechanical system. The base is the isomorphism of the standard introduction and the representation of a qubit to a 3D unit ball, in which two points are chosen. The separable complex Hilbert space is considered as the free variable of quantum information and any point in it (a wave (...) function describing a state of a quantum system) as its value as the bound variable. A qubit is equivalent to the generalization of ‘bit’ from the set of two equally probable alternatives to an infinite set of alternatives. Then, that Hilbert space is considered as a generalization of Peano arithmetic where any unit is substituted by a qubit and thus the set of natural number is mappable within any qubit as the complex internal structure of the unit or a different state of it. Thus, any mathematical structure being reducible to set theory is re-presentable as a set of wave functions and a subspace of the separable complex Hilbert space, and it can be identified as the category of all categories for any functor represents an operator transforming a set (or subspace) of the separable complex Hilbert space into another. Thus, category theory is isomorphic to the Hilbert-space representation of set theory & Peano arithmetic as above. Given any value of quantum information, i.e. a point in the separable complex Hilbert space, it always admits two equally acceptable interpretations: the one is physical, the other is mathematical. The former is a wave function as the exhausted description of a certain state of a certain quantum system. The latter chooses a certain mathematical structure among a certain category. Thus there is no way to be distinguished a mathematical structure from a physical state for both are described exhaustedly as a value of quantum information. This statement in turn can be utilized to be defined quantum information by the identity of any mathematical structure to a physical state, and also vice versa. Further, that definition is equivalent to both standard definition as the normed superposition and in-variance of Hamilton and Lagrange interpretation of mechanical motion introduced in the beginning of the paper. Then, the concept of information symmetry can be involved as the symmetry between three elements or two pairs of elements: Lagrange representation and each counterpart of the pair of Hamilton representation. The sense and meaning of information symmetry may be visualized by a single (quantum) bit and its interpretation as both (privileged) reference frame and the symmetries of the Standard model. (shrink)

We propose a test based on the theory of algorithmic complexity and an experimental evaluation of Levin's universal distribution to identify evidence in support of or in contravention of the claim that the world is algorithmic in nature. To this end statistical comparisons are undertaken of the frequency distributions of data from physical sources--repositories of information such as images, data stored in a hard drive, computer programs and DNA sequences--and the output frequency distributions generated by purely algorithmic means--by (...) running abstract computing devices such as Turing machines, cellular automata and Post Tag systems. Statistical correlations were found and their significance measured. (shrink)

This paper continues the study of the metric topology on $2^{\mathbb {N}}$ that was introduced by S. Binns. This topology is induced by a directional metric where the distance from $Y\in2^{\mathbb {N}}$ to $X\in2^{\mathbb {N}}$ is given by \[\limsup_{n}\frac{C(X\upharpoonright n|Y\upharpoonright n)}{n}.\] This definition is closely related to the notions of effective Hausdorff and packing dimensions. Here we establish that this is a path-connected topology on $2^{\mathbb {N}}$ and that under it the functions $X\mapsto\operatorname{dim}_{\mathcal{H}}X$ and $X\mapsto\operatorname{dim}_{p}X$ are continuous. We also investigate (...) the scalar multiplication operation that was introduced by Binns. The multiplication of a real $X\in2^{\mathbb {N}}$ by an element $\alpha\in[0,1]$ represents a dilution of the information in $X$ by a factor of $\alpha$ . Our main result is to show that every regular real is the dilution of a real of Hausdorff dimension 1. That is, that the information in every regular real can be maximally compressed. (shrink)

The brains of higher mammals are extraordinary integrative devices. Signals from large numbers of functionally specialized groups of neurons distributed over many brain regions are integrated to generate a coherent, multimodal scene. Signals from the environment are integrated with ongoing, patterned neural activity that provides them with a meaningful context. We review recent advances in neurophysiology and neuroimaging that are beginning to reveal the neural mechanisms of integration. In addition, we discuss concepts and measures derived from information theory that (...) lend a theoretical basis to the notion of complexity as integration of information and suggest new experimental tests of these concepts. (shrink)

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative model (...) of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the nature (...) of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

In modern science, established by the scientific revolution in 16th and 17th century, the scientific observation process is understood as a process where the observer directly grasps Nature as the observed and scientific mathematical formulation is understood as a direct description of reality. Husserl criticized this lack of distinction between method and the object of investigation in modern science and emphasized the importance of phenomena in the observation process. A similar approach was used by Bohr in his interpretation of quantum (...) experiments that seemed inexplicable from the modern science point of view. Many contemporary interpretations of quantum mechanics follow Bohr’s opposition to the realism of modern science. Among them is informational foundations of quantum theory that connects parts of his interpretation with the latest quantum experiments, but due to the complexity and individuality of Bohr’s interpretation, its philosophical consistency is mostly lost. In IFQT there is no direct connection between information and the observed. This ambiguous ontic status of information is often criticised, however, it can be solved by supplementation with Husserl’s philosophical understanding of the observation process. If Husserl’s definition of the relationship between the thing and the phenomenon is transmitted to the relationship between the observed and information in IFQT information can be understood as the direct answer to the question about the observed and thereby the observer’s only knowledge about it. This helps to reject the main criticism of IFQT and to additionally support its explanations of quantum phenomena. (shrink)

The paper interprets the concept “operator in the separable complex Hilbert space” (particalry, “Hermitian operator” as “quantity” is defined in the “classical” quantum mechanics) by that of “quantum information”. As far as wave function is the characteristic function of the probability (density) distribution for all possible values of a certain quantity to be measured, the definition of quantity in quantum mechanics means any unitary change of the probability (density) distribution. It can be represented as a particular case of “unitary” (...) qubits. The converse interpretation of any qubits as referring to a certain physical quantity implies its generalization to non-Hermitian operators, thus neither unitary, nor conserving energy. Their physical sense, speaking loosely, consists in exchanging temporal moments therefore being implemented out of the space-time “screen”. “Dark matter” and “dark energy” can be explained by the same generalization of “quantity” to non-Hermitian operators only secondarily projected on the pseudo-Riemannian space-time “screen” of general relativity according to Einstein's “Mach’s principle” and his field equation. (shrink)

Arguments for or against a trend in the evolution of complexity are weakened by the lack of an unambiguous definition of complexity. Such definitions abound for both dynamical systems and biological organisms, but have drawbacks of either a conceptual or a practical nature. Physical complexity, a measure based on automata theory and information theory, is a simple and intuitive measure of the amount of information that an organism stores, in its genome, about the environment (...) in which it evolves. It is argued that physical complexity must increase in molecular evolution of asexual organisms in a single niche if the environment does not change, due to natural selection. It is possible that complexity decreases in co‐evolving systems as well as at high mutation rates, in sexual populations, and in time‐dependent landscapes. However, it is reasoned that these factors usually help, rather than hinder, the evolution of complexity, and that a theory of physical complexity for co‐evolving species will reveal an overall trend towards higher complexity in biological evolution. BioEssays 24:1085–1094, 2002. © 2002 Wiley‐Periodicals, Inc. (shrink)

Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in (...) the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. (shrink)

A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary (...) machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines. (shrink)

BackgroundThis essay provides an ethical and conceptual argument for the use of informed consent prior to the diagnosis of brain death. It is meant to enable the family to make critical end-of-life decisions, particularly withdrawal of life support system and organ donation, before brain death is diagnosed, as opposed to the current practice of making such decisions after the diagnosis of death. The recent tragic case of a 13-year-old brain-dead patient in California who was maintained on a ventilator for over (...) 2 years illustrates how such a consent would have made a crucial difference.MethodsConceptual, philosophical, and ethical analysis.ResultsI first consider a conceptual justification for the use of consent for certain non-beneficial and unwanted medical diagnoses. I suggest that the diagnosis of brain death falls into this category for some patients. Because the diagnostic process of brain death lacks the transparency of traditional death determination, has a unique epistemic structure and a complex risk-benefit profile which differs markedly from case to case, and presents conflicts of interest for physicians and society, I argue that pre-diagnostic counseling and informed consent should be part of the diagnostic process. This approach can be termed as “allow cardiac death”, whose parallel logic with “allow natural death” is discussed. I also discuss potential negative impacts on organ donation and health care cost from this proposal and offer possible mitigation. I show that the pre-diagnostic counseling can improve the possibility for well-thought-out decisions regarding organ donation and terminating life-support system in cases of hopeless prognosis. This approach differs conceptually from the pluralism of the definition of death, such as those in New Jersey and Japan, and it upholds the Uniform Determination of Death Act.ConclusionsMy intention is not to provide an instant panacea for the ongoing impasse of the brain death debate, but to point to a novel conceptual ground for a more pragmatic, and more patient- and family-centered approach. By enabling the family to consent to or decline the diagnostic process of brain death, but not to choose the definition of death, it upholds the current legal definition of death. (shrink)

Adaptations during phylogenesis or ontogenesis can occur either by maintaning constant or by increasing the informational content of the organism. In the former case the increasing adaptations to external perturbation are achieved by increasing the rate of genome replication; the increased amount of DNA reflects an increase of total but not of law informational content. In the latter case the adaptations are achieved by either istructionist or evolutionary mechanism or a combination of both. Evolutionary adaptations occur during ontogenesis mainly in (...) the brain-mind, immunological and receptor systems and involve a repertoire of receptors that are., clonally distributed, genome-conditioned and amplified by somatic mutation. Specificity and intensity of responses are achieved a posteriori as a result of natural selection of the clones. The major adaptations during phylogenesis are accompanied by increased complexity. They have been attributed to shifts, short in time and space, against the entropic drive and thus occur notwithstanding the entropic drive and the second law of thermodynamics. The alternative view, is that the generation of complexity is due to the second law of thermodynamics in its extended formulation which includes Prigogine's theorem of minimum entropy production. This view requires however that natural selection provides the biological system with structures that bring the reactions within Onsager's range. The hierarchical organization of the natural world thus reflects a stratified thermodynamic stability. As the evolutionary adaptations generate new information they may be assimilated to Marxwell demon type of processes. (shrink)

This essay proposes a procedural interpretation of negative information in terms of split negation as procedural prohibition. Information frames and models are introduced, with negation defined as the implication of bottom, 0. A method for extracting the procedures prohibited by complex formulas is outlined, and the relationship between types of prohibited procedures is identified. Definitions of negation types in terms of the implication of 0 on an informational interpretation have been criticized. This criticism turns on the (...) class='Hi'>definitions creating a purportedly unnatural asymmetry between positive and negative information. It is demonstrated below that a strong asymmetry between positive and negative information is in fact the case. As such, an asymmetry between positive and negative information is natural, and something that we should want an informational interpretation of negation to preserve. (shrink)

The explicit history of the “hidden variables” problem is well-known and established. The main events of its chronology are traced. An implicit context of that history is suggested. It links the problem with the “conservation of energy conservation” in quantum mechanics. Bohr, Kramers, and Slaters (1924) admitted its violation being due to the “fourth Heisenberg uncertainty”, that of energy in relation to time. Wolfgang Pauli rejected the conjecture and even forecast the existence of a new and unknown then elementary particle, (...) neutrino, on the ground of energy conservation in quantum mechanics, afterwards confirmed experimentally. Bohr recognized his defeat and Pauli’s truth: the paradigm of elementary particles (furthermore underlying the Standard model) dominates nowadays. However, the reason of energy conservation in quantum mechanics is quite different from that in classical mechanics (the Lie group of all translations in time). Even more, if the reason was the latter, Bohr, Cramers, and Slatters’s argument would be valid. The link between the “conservation of energy conservation” and the problem of hidden variables is the following: the former is equivalent to their absence. The same can be verified historically by the unification of Heisenberg’s matrix mechanics and Schrödinger’s wave mechanics in the contemporary quantum mechanics by means of the separable complex Hilbert space. The Heisenberg version relies on the vector interpretation of Hilbert space, and the Schrödinger one, on the wave-function interpretation. However the both are equivalent to each other only under the additional condition that a certain well-ordering is equivalent to the corresponding ordinal number (as in Neumann’s definition of “ordinal number”). The same condition interpreted in the proper terms of quantum mechanics means its “unitarity”, therefore the “conservation of energy conservation”. In other words, the “conservation of energy conservation” is postulated in the foundations of quantum mechanics by means of the concept of the separable complex Hilbert space, which furthermore is equivalent to postulating the absence of hidden variables in quantum mechanics (directly deducible from the properties of that Hilbert space). Further, the lesson of that unification (of Heisenberg’s approach and Schrödinger’s version) can be directly interpreted in terms of the unification of general relativity and quantum mechanics in the cherished “quantum gravity” as well as a “manual” of how one can do this considering them as isomorphic to each other in a new mathematical structure corresponding to quantum information. Even more, the condition of the unification is analogical to that in the historical precedent of the unifying mathematical structure (namely the separable complex Hilbert space of quantum mechanics) and consists in the class of equivalence of any smooth deformations of the pseudo-Riemannian space of general relativity: each element of that class is a wave function and vice versa as well. Thus, quantum mechanics can be considered as a “thermodynamic version” of general relativity, after which the universe is observed as if “outside” (similarly to a phenomenological thermodynamic system observable only “outside” as a whole). The statistical approach to that “phenomenological thermodynamics” of quantum mechanics implies Gibbs classes of equivalence of all states of the universe, furthermore re-presentable in Boltzmann’s manner implying general relativity properly … The meta-lesson is that the historical lesson can serve for future discoveries. (shrink)

Gupta-Belnap-style circular definitions use all real numbers as possible starting points of revision sequences. In that sense they are boldface definitions. We discuss lightface versions of circular definitions and boldface versions of inductive definitions.

The view from inside improves our understanding on market failure and regulation failure in financial market. The EMH fails to understand the causes of financial bubbles and crashes. Behavioral finance introduces insight from psychology. The heuristic and biases approach studied behavioral asymmetry in static environment that leads to market irrationality and information distortion. The fast and frugal thinking in decision-making further explore more complex situation under changing environment. They argue that soft-paternalistic regulation is needed under information overload. The (...) most critical issue is information uncertainty and complexity. Lacking information in frequency domain is the main barrier in managing business cycles. Data form inside reveals current limitations of financial data mainly in the short-term price changes. Microstructure studies show that pricing process is shaped by trading rules. Quantitative analysis reveals severe instability in high frequency trading and derivative market. Feasible regulation should aim to encourage new technology and sustainable growth, rather than protect obsolete technology and short-term speculation. The most fundamental challenge to sustainable economic order is the excessive size of the derivative markets that crowding out investment in real economy. This is a more severe issue than the climate change. (shrink)

Gupta-Belnap-style circular definitions use all real numbers as possible starting points of revision sequences. In that sense they are boldface definitions. We discuss lightface versions of circular definitions and boldface versions of inductive definitions.

In the traditional scientific research and production activities, due to the lack of sufficient communication and communication between researchers, the phenomenon of waste of scientific research resources occurs from time to time, which hinders the efficiency of scientific research output. Based on the design principle of the semantic knowledge framework, this paper puts forward the definition of ontology and semantic relationship of the collaborative system of scientific researchers. In this paper, a framework of collaborative semantic knowledge among researchers is established (...) through decentralized semantic information exchange architecture. In this article, the simulation is verified by experiments and compared with other exchange architectures. The results of the experiment confirmed the semantic information exchange architecture based on semantic knowledge proposed in this paper is 10.39% faster than the traditional centralized method in terms of data volume; the construction speed under the data node perspective is 12.84% higher than that of the traditional centralized construction method; the subject query speed is 36.84% higher than that of the traditional centralization method; the predicate query speed is 31.58% higher than that of the traditional centralization method. The experimental results confirm that the semantic information exchange architecture based on the semantic knowledge framework is feasible, and it has excellent performance in terms of construction speed and query speed. Under the background that researchers rely more and more on collaborative technology to interact with other members, this paper has a certain reference value and exploration value and proposes a new idea of group collaboration system under the framework of semantic knowledge. (shrink)

This article responds to Philip Galanter’s essay ‘Complexism and the role of evolutionary art’ to explore complexism in relation to postmodern and generative architecture. Galanter poses complexism as a new theoretical mode that can supercede the divides of modernism/postmodernism and the two cultures (sciences/arts and humanities). The author, rather than promoting complexism, examines it as if from afar, positioning it as our most recent scientifically informed paradigm. She asserts that, in many ways, complexism functions as an ideology permeating realms of (...) cultural and intellectual production. Examples range from contemporary advertising to economic theory, political and economic protests such as the Occupy Movement, to the rhetorical and computational strategies in generative architecture. The author demonstrates that postmodernism in architecture was always theoretically tied to complex systems theory. Further, she connects the vagaries of application and extrapolation of complexity theory, across realms of current-day cultural production, to the definitional vagueness of some of complexism’s key terms (system, selforganization, emergence). Finally, she argues that two collateral effects of complexism are: (1) the promotion of dependence on environmentally damaging computational devices and (2) the socio-economic and environmental expulsions occurring in the global economy, as recently argued by sociologist Saskia Sassen. (shrink)

The advent of formal definitions of the simplicity of a theory has important implications for model selection. But what is the best way to define simplicity? Forster and Sober ([1994]) advocate the use of Akaike's Information Criterion (AIC), a non-Bayesian formalisation of the notion of simplicity. This forms an important part of their wider attack on Bayesianism in the philosophy of science. We defend a Bayesian alternative: the simplicity of a theory is to be characterised in terms of (...) Wallace's Minimum Message Length (MML). We show that AIC is inadequate for many statistical problems where MML performs well. Whereas MML is always defined, AIC can be undefined. Whereas MML is not known ever to be statistically inconsistent, AIC can be. Even when defined and consistent, AIC performs worse than MML on small sample sizes. MML is statistically invariant under 1-to-1 re-parametrisation, thus avoiding a common criticism of Bayesian approaches. We also show that MML provides answers to many of Forster's objections to Bayesianism. Hence an important part of the attack on Bayesianism fails. (shrink)

We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucleic acid coding; this information processing has one overall function—to perpetuate itself; and the processing method is filtration of, and synthesis of, information at lower levels to appear at higher (...) levels in complex systems . We show how information patterns, are united by the creation of mutual context, generating persistent consequences, to result in ‘functional information’. This constructive process forms arbitrarily large complexes of information, the combined effects of which include the functions of life. Molecules and simple organisms have already been measured in terms of functional information content; we show how quantification may be extended to each level of organisation up to the ecological. In terms of a computer analogy, life is both the data and the program and its biochemical structure is the way the information is embodied. This idea supports the seamless integration of life at all scales with the physical universe. The innovation reported here is essentially to integrate these ideas, basing information on the ‘general definition’ of information, rather than simply the statistics of information, thereby explaining how functional information operates throughout life. (shrink)

This Element looks at two projects that relate logic and information: the project of using logic to integrate, manipulate and interpret information and the proect of using the notion of information to provide interpretations of logical systems. The Element defines 'information' in a manner that includes misinformation and disinformation and uses this general concept of information to provide an interpretation of various paraconsistent and relevant logics. It also integrates these logics into contemporary theories of informational (...) updating, probability theory and (rather informally) some ideas from the theory of the complexity of proofs. The Element assumes some prior knowledge of modal logic and its possible world semantics, but all the other necessary background is provided. (shrink)

The importance of web designs for commercial and informational use has been a focus of research for over a decade and a half. At present, findings concerning the influence of news website designs on the perception and recall of information are rather contradictory. This study aims to identify how the basic web designs aesthetically affect users. A total of 214 students from Arab universities were shown three news sites with different designs and asked to complete two tests to determine (...) their levels of perception and recall. The results revealed that interactive sites with multiple aesthetic elements representing the message of the news item enable users to perceive and remember the information better. The findings of this study can be useful in creating news website templates that improve user comprehension and recall. (shrink)

This paper highlights the complex and fractured nature of EU governance, before examining various ways of introducing more light into the various dark recesses of current governance structures. The debate on transparency at the EU level is viewed through the prism of deliberative democracy and enabling more effective citizen participation in the governing processes. This model of democracy considers political participation by citizens in a broad sense which is not limited to participation in strictly political institutions (voting). From this perspective (...) the ability of citizens to effectively participate in social dialogue, in the broad sense of the term, is a definite attribute of democracy. The ability to participate in social dialogue depends to a large extent on accessibility of information and accessibility of the dialogue itself. The role of advanced information technology is obvious. It not only facilitates access to relevant information crucial for will formation processes but also facilitates social dialogue among citizens. Some form of organized and networked ‘active’ citizenry is moreover required‐ aware, committed and potent. This paper will thus further argue that ‘civil society’ (defined as in any event embracing the not for profit, public interest sector) at the EU level has a special role to play in this regard and will explore in outline some possible means of institutionalising this role in the highly specific EU context. (shrink)