In the philosophical and cognitive literature, the word ‘intention’ has been used with a variety of meanings which occasionally have been explicitly distinguished. I claim that an important cause of this polysemy is the fact that intentions are complex entities, endowed with an internal structure, and that sometimes different theories in the field are erroneously presented as if they were in conflict with each other, while they in fact just focus on different aspects of the phenomenon. The debate (...) between Gallese’s embodied simulation theory and Csibra and Gergely’s teleological stance hypothesis is discussed as a case in point, and some misunderstandings occurring in that debate are analyzed. The thesis that intentions are complex entities is argued for by shedding light on the following aspects of intentions: conscious control; perceptual (and not only motoric) representations of end-states; attributions of value to those representations; appreciation of the rational relationships between means and ends. (shrink)

This article locates a theoretical reflection on the form of legal subjectivity against twenty-first century complexities and pressures, including the structural complexities visible in biotechnological developments, new hybridities and numerous contemporary theoretical and practical manifestations of heterogeneity, multiplicity and complexity emerging in a range of disciplines, including cybernetics, techno-theory, post-humanism and ecology. The author defends the theoretical and critical utility of understanding the legal subject as an explicit (and explicitly limited ) constructus . Criticising the constructed naturalism (and the historical (...) and contemporary exclusions) of the 'human being' of law, the author suggests that the language and concept of the 'legal entity' (rather than that of the 'legal person') draws attention to the patterned 'gap' between law and life (and to related injustices enacted by the form of the materialisation of legal subjectivity) while simultaneously providing the degree of theoretical plasticity now required by the mutable complexities of the twenty-first century and beyond. (shrink)

Hylomorphically complex objects are things that change their parts or matter or that might have, or have had, different parts or matter. Often ontologists analyze such objects in terms of sets (or functions, understood set-theoretically) or other extensional entities such as mereological fusions or quantities of matter. I urge two reasons for being wary of any such analyses. First, being extensional, such things as sets are ill-suited to capture the characteristic modal and temporal flexibility of hylomorphically complex (...) objects. Secondly, sets are often appealed to because they seem to contain their members. But the idea that sets do contain their members, in the ordinary sense of containment, is a substantive metaphysical position that makes analyses that rely on that idea for their plausibility much more metaphysically committing than is generally thought. (shrink)

It will be shown that the probability calculus of a quantum mechanical entity can be obtained in a deterministic framework, embedded in a real space, by introducing a lack of knowledge in the measurements on that entity. For all n ∃ ℕ we propose an explicit model in $\mathbb{R}^{n^2 } $ , which entails a representation for a quantum entity described by an n-dimensional complex Hilbert space þn, namely, the “þn,Euclidean hidden measurement representation.” This Euclidean hidden measurement representation is (...) also in a more general sense equivalent with the orthodox Hilbert space formulation of quantum mechanics, since every mathematical ingredient of ordinary quantum mechanics can easily be translated into the framework of these representations. (shrink)

The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. (...) Second, cognition and conscious experience can be understood as a single phenomenon, eliminating fruitless philosophical discussion of qualia and the so-called hard problem of consciousness. What we call “extended phenomenological-cognitive systems” are relational and dynamical entities, with interactions among heterogeneous parts at multiple spatial and temporal scales. (shrink)

Extended simples are fruitfully discussed in metaphysics. They are entities which are located in a complex region of space but do not themselves have parts. In this paper, I will discuss unextended complexes: entities which are not located at a complex region of space but do themselves have parts. In particular, I focus on one type of unextended complex: pointy complexes. Four areas are indicated where pointy complexes might prove philosophically useful. Unextended complexes are therefore (...) philosophically fruitful, in much the same way as extended simples. (shrink)

When seeing a jaguar, we can see all the spots on its mantle without seeing a determinate number, N, of spots on the mantle. How is this visual phenomenon possible? Philosophers have tried to provide a reliable answer to this question, by recruiting evidence from vision science about the way attention works. Here we push this idea forward, by suggesting that an alternative and less complex solution, with respect to the one proposed in the literature, is possible. In particular, (...) we argue that the puzzling visual phenomenon of 'seeing entities without seeing N-entities' strictly depends on the specific number of entities we are simultaneously attending to: a problematic scenario concerning this visual process arises only when the number of entities in the visual field exceeds a specific quantity. This depends, as we argue, on the fact that the nature of our visual content is modulated, in this perceptual scenario, by the limited way we can exercise visual attention on the properties of the objects of our perception. Differently from other accounts, our proposal allows us to properly define when and why such a problem arises, and explains why such a situation has traditionally been found to be so puzzling. Our idea is also well motivated by experimental results that so far have not been taken into account in the debate. (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The (...) time evolution of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

Wherever we look, we notice complexity. Philosophically, the concept constitutes a tangled web of problems, in theory as well as daily life. Complexity and Analysis is a meticulous rendering of these problems, tackling the seldom considered nature of complexity that confronts ontological analysts and holists alike. Stewart Umphrey expertly describes the limits of analysis as they have come to light within mathematics, the natural sciences, and analytic philosophy, explaining how Aristotle came upon, and sought to move beyond, the limits of (...) ontological analysis. In trying to understand any complex entity, Umphrey argues, one succeeds in meeting the criterion of metaphysical adequacy only if one fails to meet the crietrion of epistemological adequacy. Ranging across an array of subjects including Kantian and Hegelian idealism, this book provides a superb account of how our own complexity presents not only theoretical problems, but ethical and political dilemmas of great practical significance. (shrink)

Michael Nair-Collins and Franklin Miller are right to emphasise that, in order to deliberate responsibly about ethical and legal questions related to brain death and organ donation, it is crucial to answer the question of whether or not ‘brain death’i does indeed mark the biological death of the organism. Nonetheless, I disagree with the authors’ conclusion that brain death does not indicate the death of the human organism. Death can never be defined in merely biological terms, because any biological conception (...) of death relies on metaphysical presuppositions regarding what it means to be an ‘organism as a whole’, rather than an aggregate of cells and tissues. Death is a change in substance —that is, a change from one type of entity to another — not the cessation of all biological life. Organismal death occurs well before all of the organism’s parts irreversibly cease vital activity and decompose into inorganic matter. Biological life in some form can and usually does continue after organismal death at least for a time, with recent evidence indicating that animal cell networks continue to perform complex functions like stress response, immune response and inflammation response up to several days postmortem.1 With external support, many cells and tissues can continue to perform their functions ex vivo for long periods of time or even indefinitely.2 Henrietta Lax died in 1951, but cells derived from her cancerous cervical cells …. (shrink)

The aim of the paper is to introduce some of the history and key concepts of network science to a philosophical audience, and to highlight a crucial—and often problematic—presumption that underlies the network approach to complex systems. Network scientists often talk of “the structure” of a given complex system or phenomenon, which encourages the view that there is a unique and privileged structure inherent to the system, and that the aim of a network model is to delineate this (...) structure. I argue that this sort of naïve realism about structure is not a coherent or plausible position, especially given the multiplicity of types of entities and relations that can feature as nodes and links in complex networks. (shrink)

When we deal with complex things, like human subjects or organizations, we deal with identity – that which makes a person or an organization what it is and distinguishes him/her/it from other persons or organizations, a kind of “self”. Our identity determines how we think about and interact with others. It will be argued in this chapter that the self is constituted relationally. Moreover, when we are in the realm of the self, we are always already in the realm (...) of engaging with and mediating differences – the realm of ethics. The position which will be developed argues that approaching identity as a complex system allows us to resist thinking of identity as an easily identifiable and static entity. Identity is always being constituted within a complex and contingent world, where we have to make choices based on contingent values rather than on universal knowledge or the outcome of rational calculations. As a result, we have to keep in mind that our daily practices always already have an ethical component, and our decisions need to be continually evaluated and re-evaluated in the light of our (and others’) varying identities. (shrink)

Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. It stresses a view of proof complexity as a whole entity rather than a collection of various topics held together loosely by a few notions, and it favors more generalizable statements. Lower bounds for lengths of proofs, often regarded as the key issue in (...) proof complexity, are of course covered in detail. However, upper bounds are not neglected: this book also explores the relations between bounded arithmetic theories and proof systems and how they can be used to prove upper bounds on lengths of proofs and simulations among proof systems. It goes on to discuss topics that transcend specific proof systems, allowing for deeper understanding of the fundamental problems of the subject. (shrink)

Sciences of complex systems thrive on compositional theories – toolkits that allow the construction of models of a wide range of systems, each consisting of various parts put together in different ways. To be tractable, a compositional theory must make shrewd choices about the parts and properties that constitute its basic ontology. One such choice is to decompose a system into spatiotemporally discrete parts. Compositional theories in the high-level sciences follow this rule of thumb to a certain extent, but (...) they also make essential use of what I call distributed ontologies: divisions of the system into entities or states of affairs each depending on sets of fundamental-level facts that to a large extent overlap. The point is developed using the example of statistical theories in which the probabilities are ontologically distributed. (shrink)

Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different locations may lead to difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. In this paper, an effective entity linking model is proposed to capture the semantic (...) meaning of the sentences and reduce the noise introduced by different contexts of the same mention in a document. This model first uses the symmetry of the Siamese network to learn the sentence similarity. Then, the attention mechanism is added to improve the interaction between input sentences. To show the effectiveness of our sentence representation model combined with attention mechanism, named ELSR, extensive experiments are conducted on two public datasets. Results illustrate that our model outperforms the baselines and achieves the superior performance. (shrink)

Is a social complex identical to many united people or is it a group entity in addition to the people? For specificity, I will assume that a social complex is a plural subject in Margaret Gilbert’s sense. By appeal to my theory of Aspects, according to which there can be qualitative difference without numerical difference, I give an answer that is a middle way between metaphysical individualism and metaphysical holism. This answer will enable answers to two additional metaphysical (...) questions: (i) how can two social complexes have all the same members and (ii) how can there be a social complex of social complexes? (shrink)

In this thesis it is argued that the age-old philosophical "Problem of the Self' can benefit by being approached from the perspective of a relatively recent science, namely that of Complexity Theory. With this in mind the conceptual features of this theory is highlighted and summarised. Furthermore, the argument is made that the predominantly dualistic approach to the self that is characteristic of the Western Philosophical tradition serves to hinder, rather than edify, our understanding of the phenomenon. The benefits posed (...) by approaching the self as an emergent property of a complex system is elaborated upon, principally with the help of work done by Sigmund Freud, Richard Dawkins, Daniel Dennett, and Paul Cilliers. The aim is to develop a materialistic conception of the self that is plausible in terms of current empirical information and resists the temptation see the self as one or other metaphysical entity within the brain, without "reducing" the self to a crude materialism. The final chapter attempts to formulate a possible foil against the accusation of crude materialism by emphasising that the self is part of a greater system that includes the mental apparatus and its environment (conceived as culture). In accordance with Dawkins' theory the medium of interaction in this system is conceived of as memes and the self is then conceived of as a meme-complex, with culture as a medium for meme transference. The conclusion drawn from this is that the self should be studied through narrative, which provides an approach to the self that is material without being crudely physicalistic. (shrink)

This monograph focuses on two major themes of current interest---those of complexity and emergence. Neither of the two concepts is, in the very nature of things, precisely defined or easily comprehended. Complexity is all around us while the sciences often analyze entities and events by making simplifications. But the fault lines in the latter get exposed over larger spans of space and time. Complexity entails emergence that involves discontinuity and novelty in the evolution of complex systems, based on (...) the appearance of distinctive spatial and temporal structures. Underlying an occurrence of emergence is an instability involving the transition from one stable regime to another, where distinct space-time scales acquire relevance across the transition. The structures on the two sides of the transition are characterized by distinct sets of state variables where, on one side of the transition, collective variables make their appearance. -/- Complexity and emergence are viewed in this book in the context of the Kantian noumenal-phenomenal divide. The noumenal reality is the repository of all the complexity that there is, while the phenomenal reality emerges from the noumenal in the process of our perception, interpretation, and inference. The noumenal exists in itself as a self-determined whole, and reveals itself to us in fragmentary patches as skewed projections that we assemble to form our phenomenal world that keeps on emerging ceaselessly. Our own biological evolution and the evolution of our phenomenal world occurs in a mutually consistent process, that can be referred to as co-evolution. -/- We seek regularities in the phenomenal world by means of our scientific theories which are often successful, but that success is fragile as, over larger spans of space and time, anomalies make their appearance, giving a lie to the simplicity and regularity previously presumed to have been unearthed. Simplicity, regularity, and harmony are only fleetingly located in the phenomenal world by means of our theories as these keep on being revised endlessly and often radically, thereby generating a mosaic of theories that becomes ever more complex, indicating a pervasive complexity of the noumenal world from which the phenomenal emerges by way of strictly limited projections. The foundational metaphysics on which this book is based tells us that reality is fundamentally complex, while tiny islands of simplicity, regularity, and harmony are embedded in it in isolated space-time domains. (shrink)

This paper introduces Deleuze’s philosophy of becoming in a system theoretic framework and proposes an alternative ontological foundation to the study of systems and complex systems in particular. A brief critique of systems theory and the difficulties apparent in it is proposed as an introduction to the discussion. Following is an overview aimed at providing access to the ‘big picture’ of Deleuze’s revolutionary philosophical system with emphasis on a system theoretic approach and terminology. The major concepts of Deleuze’s ontology—difference, (...) virtuality, multiplicity, assemblages, quasi-causation, becoming, intensity and progressive determination are introduced and discussed. Deleuze’s work is a radical departure from the dogma of western philosophy that guides the foundations of science and systems theory. It replaces identity with difference and being with becoming; in other words, it provides systems theory with an ontological ground based on change, heterogeneity and the inexhaustible novelty-producing process that underlies all phenomena. The conceptual tools made available by this philosophy seem to capture the fundamental aspects of complexity and complex systems much better than the current conceptual system that is based on static transcendent ontological entities. (shrink)

A complexity cosmography is introduced as construing a world that is self-organizing, dynamic, and emergent, and that comprises organic entities that too are self-organizing, dynamic, and emergent. Following critical reflection into the nature of utilising complexity in social inquiry, specific images, vocabularies and complexity-based methods and techniques as developed by the authors are introduced.

Managing Complexity in Healthcare introduces the ComEntEth (Complex Entropic Ethical) model as an integrated bio-medical and philosophical approach to understanding how people get things done in healthcare. Drawing on the complexity sciences, studies of entropy in living organisms, and the ethics of Emmanuel Levinas, healthcare is theorised as energetic relational exchanges between people as entropic and ethical entities that unfold around a central attractor: Reduction in elevated entropy or suffering in patients. Living entities are engaged in a (...) continuous struggle against the tendency to produce entropy. From the cellular to the collective of human endeavours, the tendency of complex systems is to disorder and decay. Yet in the micro-activity of healthcare enterprise, people resist this tendency by expending energy to create order and sustain life. Making sense of how this miraculous work is made possible is the foundation of this book. Through practical examples - from analysis of practitioner burnout, rural and remote healthcare, the functioning of emergency departments, to government, social and institutional responses to the COVID-19 pandemic -this new integral philosophy provides practitioners, managers, policy designers, and scholars an effective way to understand the dynamics of daily processes and practices that link the micro of everyday interactions with the macro-trends of healthcare. (shrink)

An application of the Method of Analysis of Relational Complexity (MARC) to suppositional reasoning in the knight-knave task is outlined. The task requires testing suppositions derived from statements made by individuals who either always tell the truth or always lie. Relational complexity (RC) is defined as the number of unique entities that need to be processed in parallel to arrive at a solution. A selection of five ternary and five quaternary items were presented to 53 psychology students using a (...) pencil and paper format. A computer-administered version was presented to 50 students. As predicted, quaternary problems were associated with higher error rates and longer response times than ternary problems. The computer-administered form was more difficult than the pencil and paper version of the test. These differences are discussed in terms of RC theory and alternative processing accounts. Together, they indicate that the relational complexity metric is a useful and parsimonious way to quantify complexity of reasoning tasks. (shrink)

This paper defends an ontology of weak entity realism for homeostatic property cluster (HPC) theories of natural kinds, adapted from Bird’s (Synthese 195(4):1397–1426, 2018) taxonomy of such theories. Weak entity realism about HPC kinds accepts the existence of natural kinds. Weak entity realism denies two theses: that (1) HPC kinds have mind-independent essences, and that (2) HPC kinds reduce to entities, such as complex universals, posited only by metaphysical theories. Strong entity realism accepts (1) and (2), whereas moderate (...) entity realism accepts only (1). Given its commitment to (2), strong entity realism is more theoretically complex than weak entity realism, with little explanatory payoff. Given their commitment to (1), moderate and strong entity realisms cannot explain how the identity conditions of HPC kinds are to be straightforwardly knowable. I argue that weak entity realism avoids such epistemic difficulties. I further rebut two plausible criticisms of weak entity realism, namely that weak entity realism cannot account for quantification over kinds, and that weak entity realism cannot provide identity conditions for HPC kinds which are both scientifically useful and objective. Given the theoretical costs of strong and moderate entity realism, and weak entity realism’s adequate response to its most plausible challenges, weak entity realism about HPCs is to be preferred, especially for biological and chemical kinds. (shrink)

In modern, Western societies the purpose of schooling is to ensure that school-goers acquire knowledge of pre-existing practices, events, entities and so on. The knowledge that is learned is then tested to see if the learner has acquired a correct or adequate understanding of it. For this reason, it can be argued that schooling is organised around a representational epistemology: one which holds that knowledge is an accurate representation of something that is separate from knowledge itself. Since the object (...) of knowledge is assumed to exist separately from the knowledge itself, this epistemology can also be considered ‘spatial.’ In this paper we show how ideas from complexity have challenged the spatial epistemology’ of representation and we explore possibilities for an alternative ‘temporal’ understanding of knowledge in its relationship to reality. In addition to complexity, our alternative takes its inspiration from Deweyan ‘transactional realism’ and deconstruction. We suggest that ‘knowledge’ and ‘reality’ should not be understood as separate systems which somehow have to be brought into alignment with each other, but that they are part of the same emerging complex system which is never fully ‘present’ in any (discrete) moment in time. This not only introduces the notion of time into our understanding of the relationship between knowledge and reality, but also points to the importance of acknowledging the role of the ‘unrepresentable’ or ‘incalculable’. With this understanding knowledge reaches us not as something we receive but as a response, which brings forth new worlds because it necessarily adds something (which was not present anywhere before it appeared) to what came before. This understanding of knowledge suggests that the acquisition of curricular content should not be considered an end in itself. Rather, curricular content should be used to bring forth that which is incalculable from the perspective of the present. The epistemology of emergence therefore calls for a switch in focus for curricular thinking, away from questions about presentation and representation and towards questions about engagement and response. (shrink)

Willard van Orman Quine once said that he had a preference for a desert ontology. This was in an earlier day when concerns with logical structure and ontological simplicity reigned supreme. Ontological genocide was practiced upon whole classes of upper-level or ‘derivative’ entities in the name of elegance, and we were secure in the belief that one strayed irremediably into the realm of conceptual confusion and possible error the further one got from ontic fundamentalism. In those days, one paid (...) more attention to generic worries about possible errors than to actual errors derived from distancing oneself too far from the nitty-gritty details of actual theory, actual inferences from actual data, the actual conditions under which we posited and detected entities, calibrated and ‘burned in’ instruments, identified and rejected artifacts, debugged programs and procedures, explained the mechanisms behind regularities, judged correlations to be spurious, and in general, to the real complexities and richness of actual scientific practice. (shrink)

Hylomorphism is the Aristotelian theory according to which objects are composites of form and matter. Form is what unifies the various parts of an object – the matter – into a cohesive whole. Some contemporary hylomorphists argue their theory applies beyond the realm of concreta, and that it explains the unity of various abstract entities. Not everyone agrees. Recent criticism alleges that hylomorphism fails to explain the unity of certain abstract entities, namely, complex properties – properties with (...) other properties as proper parts. Here, I both respond to this criticism and show that and how hylomorphism extends to the domain of complex properties. By discussing hylomorphism’s applicability to the hitherto unchartered domain of complex properties, I hope to defend its credentials as a general mereological theory. (shrink)

This work responds to a criticism of effective complexity made by James McAllister, according to which such a notion is not an appropriate measure for information content. Roughly, effective complexity is focused on the regularities of the data rather than on the whole data, as opposed to algorithmic complexity. McAllister’s argument shows that, because the set of relevant regularities for a given object is not unique, one cannot assign unique values of effective complexity to considered expressions and, therefore, that algorithmic (...) complexity better serves as a measure of information than effective complexity. We accept that problem regarding uniqueness as McAllister presents it, but would not deny that if contexts could be defined appropriately, one could in principle find unique values of effective complexity. Considering this, effective complexity is informative not only regarding the entity being investigated but also regarding the context of investigation itself. Furthermore, we argue that effective complexity is an interesting epistemological concept that may be applied to better understand crucial issues related to context dependence such as theory choice and emergence. These applications are not available merely on the basis of algorithmic complexity. (shrink)

In complexity theory, both the brain and consciousness are understood as trophic systems—they consume metabolic energy when they function. Complex systems are dynamic and nonlinear and comprise diverse entities that are interdependent and interconnected in such a way that information is shared and that entities adapt to one another. Some natural complex systems are complex adaptive systems (CAS), which are sensitive to change in relation to their environments and are often chaotic. Consciousness and the neural (...) systems mediating consciousness may be modeled as CAS and, more specifically, as intelligent complex adaptive systems (ICAS), where intelligence means that a nervous system can solve problems successfully by intervening between sensory input and behavioral output. Evolution of any ICAS will result in emergent properties, particularly advanced brains. Two processes are involved in integrating experience and knowledge: the effort after meaning and the effort after truth. These efforts are mediated by the predominance given to direct experience presented to the brain's sensorium and modeling processes mediated by higher cognitive functions. Understanding consciousness as an ICAS has profound repercussions in how anthropology conceives of culture. (shrink)

This article examines some aspects of the natural philosophy of Juan Gallego de la Serna, royal physician to the Spanish kings Philip III and Philip IV. In his account of animal generation, Gallego criticizes widely accepted views: (1) the view that animal seeds are animated, and (2) the alternative view that animal seeds, even if not animated, possess active potencies sufficient for the development of animal souls. According to his view, animal seeds are purely material beings. This, of course, raises (...) the question of how living beings can arise from inanimate matter. Gallego is aware that two other thinkers who understood animal seeds as purely material beings, Duns Scotus and the Louvain-based physician Thomas Feyens, did not solve this problem. Gallego’s solution makes use of the notion of incomplete entities developed by the Spanish Jesuit Francisco Suarez. While Suarez applies this notion to soul and body in order to explain why souls have a natural tendency towards organic bodies and organic bodies have a natural tendency towards souls, Gallego applies this notion to the natural tendency of animal seeds towards each other and towards further substances in their respective environment. In his view, this natural tendency of animal seeds to incorporate further substances explains that origin of material structures complex enough to constitute an animal soul. (shrink)

To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of knowledge bases, and improves efficiency of searching and semantic analysis. Traditional methods of relationship extraction, either those proposed at the earlier times or those based on traditional machine learning and deep learning, have focused on keeping relationships and entities in their own silos: extracting relationships and entities (...) are conducted in steps before obtaining the mappings. To address this problem, a novel Chinese relationship extraction method is proposed in this paper. Firstly, the triple is treated as an entity relation chain and can identify the entity before the relationship and predict its corresponding relationship and the entity after the relationship. Secondly, the Joint Extraction of Entity Mentions and Relations model is based on the Bidirectional Long Short-Term Memory and Maximum Entropy Markov Model. Experimental results indicate that the proposed model can achieve a precision of 79.2% which is much higher than that of traditional models. (shrink)

The present thesis, compatible with Darwinian theory, endeavours to provide original answers to the question of why the evolution of species leads to beings more complex than those existing before. It is based on the repetition of two main principles alleged to play a role in evolution towards complexity, i.e. "juxtaposition" and "integration". Juxtaposition is the addition of identical entities. Integration is the modification, or specialisation, of these entities, leading to entities on a higher level, which (...) use the previous entities as units. Several concrete examples of the process are given, at the genetic level (introns), at the anatomical level and at the social level. Structures where integration at one level leaves the units at a lower level in a state of relative autonomy can be describedusing the metaphor of the "mosaic", and the description can also be applied to the human brain and functioning of thought, where essential functions such as language or memory have a mosaic structure. (shrink)

In the graphical representation of ontologies, it is customary to use graph theory as the representational background. We claim here that the standard graph-based approach has a number of limitations. We focus here on a problem in the graph-based representation of ontologies in complex domains such as biomedical, engineering and manufacturing: lack of mereotopological representation. Based on such limitation, we proposed a diagrammatic way to represent an entity’s structure and various forms of mereotopological relationships between the entities.

Both extended simples and unextended complexes have been extensively discussed and widely used in metaphysics and philosophy of physics. However, the characterizations of such notions are not entirely satisfactory inasmuch as they rely on a mereological notion of extension that is too simplistic. According to such a mereological notion, being extended boils down to having a mereologically complex exact location. In this paper, I make a detailed plea to supplement this notion of extension with a different one that is (...) phrased in terms of measure theory. This proposal has significant philosophical payoffs. I provide new characterizations of both extended simples and unextended complexes, that help re-evaluating the question of whether such entities are metaphysically possible. Finally, I advance several suggestions as to how different notions of extension relate, first, to one another and, second, to mereological structure. (shrink)

Ontologies are being used by information scientists in order to facilitate the sharing of meaningful information. However, computational ontologies are problematic in that they often decontextualize information. The semantic content of information is dependent upon the context in which it exists and the experience through which it emerges. For true semantic interoperability to occur among diverse information systems, within or across domains, information must remain contextualized. In order to bring more context to computational ontologies, we introduce culture as an essential (...) concept for information science. Culture helps to focus our attention on and make meaning of relevant extrapersonal structures and their qualities and dimensions that comprise the context and background of the world. In our approach, culture is integral to the study of semantics and, consequently, the study of ontologies and information technologies. The meaning we make of entities and phenomena in the world is always shaped by our cultural experience. If we understand culture as the emergent interplay of intrapersonal cognitive structures and extrapersonal structures of the world, then the notion of cognitive and cultural schemas becomes essential to understanding ontology and the ways in which we might achieve authentic semantic interoperability among diverse information systems. We explore the nature of ontologies and reconceptualize them as cultural schemas. Our proposal is an alternative to the historical path from philosophical ontology to computational ontologies as one that adheres primarily to the notion of ontology as a categorization and classification system. The obvious implication for ontology as categorization is that there is a single objective world that exists and that it can be described as entirely separate from the person observing it. We draw upon Heidegger’s examination of ontology to ground ontology in a phenomenological perspective, enabling it to remain flexible and adaptable and to accommodate context. (shrink)

After a contrast of the the prima facie complexity of the causality of the rational agent with the received scientific doctrine of causality, it is noticed that the prima facie causal authority of rational action belongs to a macroscopic domain in which all science and philosophy takes place and in which the formal/telic nature of that causality must be taken for granted. Any philosophical justification or philosophical criticism of the status of that macroscopic arena must therefore take place within that (...) same arena. It is then argued that a justification of the ontological status of that arena is possible by an exploitation of the reflexive resource of the rational awareness we exercise within that arena. It is claimed that this resource can be fairly described as the justification of our direct knowing of real beings/entities other than the knower and that such realistic knowing is at the same time an exemplary mode of causality having a complexity that is both formal/telic and hierarchical . In short, the rational agent is also a direct knower, and direct knowing requires a sense of "cause' more complex than the received scientific doctrine of causality provides. 2012 APA, all rights reserved). (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in (...) the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

As figurational sociologists and sociolinguists, we need to know that we currently find support from other fields in our efforts to construct a sociocultural science focused on interdependencies and processes, creating a multidimensional picture of human beings, one in which the brain and its mental and emotional processes are properly recognized. The paradigmatic revolutions in 20th-century physics, the contributions made by biology to our understanding of living beings, the conceptual constructions built around the theories of systems, self-organization and complexity, all (...) these implore that we reflect on social sciences paradigms in the light of the great changes in these other disciplines. The application of metaphors or theoretical images of complexity and figurational sociology in understanding language and socio-communication phenomena is of great use, since language is not an ‘object’, but a ‘complex’; it exists simultaneously in and among different domains. ‘Languaging’ and interaction are co-phenomena. The former exists within the latter, and the latter within the former. By visualizing, for instance, the different levels of linguistic structure not as separate entities but rather as united and integrated within the same theoretical frame, by seeing their functional interdependencies, by situating them in a greater multidimensionality that includes what for a long time was considered ‘external’ – the individual and his or her mind-brain, the sociocultural system, the physical world, etc. – and expanding in this way our classical view, we should be able to make important, if not essential, theoretical and practical advances. (shrink)

This article focuses on the relevance of computational complexity for cognition. The syntactic items may be expressions that are surface strings. But in general, strings are syntactically ambiguous in that they can be generated in more than one way from atomic expressions and operations. The semantic function must take disambiguated items as arguments. When expressions are ambiguous, expressions cannot be the arguments. Instead, it is common to take the arguments to be terms, whose surface syntax reflects the derivation of the (...) string. The semantic function differs in one other important respect from an arithmetic function, since it maps entities between domains, from a syntactic to an ontic or conceptual domain of meanings. Compositionality helps to explain the rate of success in linguistic communication when the sentence used or the content communicated is new. (shrink)

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 relationship between brain and mind has been extensively explored through the developments within neuroscience over the last decade. However, the ontological status of mind has remained fairly problematic due to the inability to explain all features of the mind through the brain. This inability has been considered largely due to partial knowledge of the brain. It is claimed that once we gain complete knowledge of the brain, all features of the mind would be explained adequately. However, a challenge to (...) such a position is downward causation: How do we explain the causal power that mental states exert over brain activities? If we agree that downward causation occurs, then to what extent could a sole explanation of brain activities account for our behaviour? (For they would in themselves be conditioned by the mental states which are left unexplained). This dissertation is an attempt to understand relation between brain and mind through the concept of emergence, placed in the context of complex systems approach. This will create a space to account for the causal power of mental states. The complex systems approach says that as the complexity of a system increases, we witness the emergence of novel qualities and after a certain threshold (of complexity), the emergence of a novel structure. When the body (and correspondingly, brain) reaches a certain level of complexity, the mind emerges. The brain is a complex system from which the mind emerges. The brain, consisting of billions of neurons interacting with each other, regulates the body placed in the environment. The interaction of neurons (local interactions involving self-organization) result in dynamical brain signatures (global synergy). Such signatures are correlative to mental states. Mind is the process of a living organism embodying an intentional stance. This object could be the subject itself or another distinct from the subject. With the emergence of mind, the causal powers of brain are conditioned by the mind. Such a conditioning is evident through the causal efficacy of mental states. While the brain is minimal condition for the mind to emerge, the mind in itself is embedded (showcased/explicated/manifested) throughout the body. The mind is a process that belongs to body-as-a-whole with the novel quality of intentionality. A preliminary to understanding this relation is its metaphysical inclination. A large portion of the history of philosophy of mind has advocated a metaphysics of entities where the mind and body have been seen as two entities with distinct essences. However, such attribution of entity-ship does not take into account the processual nature of these existents (that they are essentially dependent on their environment for their existence and sustenance). Thus, the category of processual unity has been introduced which sought to account for existent as emergent wholes that move towards a stable equilibrium through self-organization. By considering existents to be processual unities, we can account for their identity as a whole-in-itself (what has been called organizational closure) and also for their processual nature. The brain is a component of the body which is a complex system and is representative of the body’s stance in the world. The brain, consisting of billions of neurons interacting with each other, regulates the body placed in the environment. The interaction of neurons (local interactions involving self-organization) result in dynamical brain signatures (global synergy). Such signatures are correlative to mental states. These mental states in turn condition the brain patterns, that allows the embodying of mental states. Thus, the three-way process of the representation of body in the world by the brain, the emergence of mental state through dynamic brain patterns and the reciprocal causal power on the brain patterns by the mental states marks embodiment. The relation between brain, body and mind can be outlined as follows: A. There are complex interactions in the brain. These interactions are representative of the body’s stance in the world and are present in form of dynamical brain signatures. B. The dynamical brain signatures lead to emergence of mind as a process. The mental state has causal power which conditions the brain. C. The brain conditioned by causal power of the mind carries out embodiment of the mind throughout the body. In the dissertation, an exposition on relation between brain and mind through complex system approach is followed by a brief on relation between body and mind. The radical embodiment approach adopts the nonlinear dynamic systems theory to understand relation of brain, body and mind. It states a shift from mapping of cognitive states onto Neural Correlates of Consciousness to their mapping through dynamic brain signatures. Every mental state is embedded throughout the body. The dissertation explores the three features of consciousness, intentionality and qualia. These have previously formed a challenge within a dualistic framework and the dissertation intends to show a direction in which they can be accounted for, within the complex systems approach and radical embodiment viewpoint. After a certain threshold of the rate of production of cell assemblies is bypassed, we become conscious of the representation itself. This leads to emergence of phenomenal states. Qualia is the qualitative character of such states, which belong to the body-as-a-whole and for this reason, cannot be reduced to properties of any of the components from which it emerges (the dynamic brain signatures) or in which it is embodied (the body and its individual parts) alone. Intentionality is the novel property of mind of moving towards a certain set of attractors where attractors refer to the states that the system prefers (which would positively contribute to its fitness). The scope of this dissertation is to delineate the relation of brain to the mind and unravel some persistent troubles of philosophy of mind within such delineation. The types of components and their relation within the mind preceded by a thorough study of how the mind is embodied is an area yet to be extensively explored in the coming works. (shrink)

The military-industrial complex (MIC) refers to a self-sustaining politico-economic system that perpetuates profitability in military supplies industries, de facto in multiple countries but primarily in the USA. It is made up of competing and/or collaborating entities -- the maintenance of which is on the whole financially advantageous to all concerned. The complex business objectives sought by participants are fostered in part by exalting technical possibilities but also in part by spreading fear as to dangers that are imminent (...) and can be countered only by maintaining the highest feasible level of military preparedness. (shrink)

Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word (...) separation difficulties of maintenance records are analyzed, then 7 main entity categories of power technical terms from unstructured maintenance records are chosen, and 3452 maintenance records are labeled by these categories, which is so called EPE-MR training dataset. Secondly, the standard test reports, standard maintenance, and fault analysis reports for three types of power primary equipment are employed as corpus to train character embedding in order to obtain certain words representation ability of maintenance records. After that, progressive multilevel radicals feature extraction module is designed to get detailed and fine semantic information in a hierarchical manner. Further, radicals feature representation and character embedding are concatenated and sent to BiLSTM module to extract contextual information in order to improve Chinese entity recognition ability. Moreover, CRF is introduced to handle the dependencies among prediction labels and to output the optimal prediction sequence, which can easily obtain structured data of maintenance records. Finally, comparative experiments on public MSRA dataset, China People’s Daily corpus, and EPE-MR dataset are implemented, respectively, which show the effectiveness of the proposed method. (shrink)

The paper is focused on some aspects of experimental realism of Ian Hacking, and especially on his manipulability criterion of existence. The problem is here related to chemical molecules, the objects of interest in chemical research. The authors consider whether and to what extent this criterion has been applied in experimental practice of chemistry. They argue that experimentation on is a fundamental criterion of existence of entities in chemistry rather than experimentation with. Some examples regarding studies of structures of (...) complex compounds, taken from organic chemistry, are presented to support the authors' considerations. Chemists' laboratory practice depends strongly on the way that representations of entities on (or with) the experiments are used. The authors show that this point has not been given sufficient attention by the new experimentalists. (shrink)

Since 1995, Public-Private Partnerships mode has been applied in mainland China accompanied by the issuance of a series of PPPs policies. Taking 201 policy documents promulgated from 1995 till 2019 as a research sample, this paper explores PPPs policy entity network change and policy learning behind it in China. Research results show the following: China’s PPPs policy entity network has mainly gone through three stages: partial-focus network with bad stability, loose-multiactor network with general stability, and balanced-multiactor network with good stability; (...) the key players are NPC in the first stage, MOF and NDRC in the second stage, and MOF and 8 other government entities in the third stage; policy learning behind PPPs policy entity network change is government learning in the first stage and lesson-drawing in the second and third stages. (shrink)

"Manuel DeLanda is a distinguished writer, artist and philosopher. In his new book, he offers a fascinating look at how the contemporary world is characterized by an extraordinary social complexity. Since most social entities, from small communities to large nation-states, would disappear altogether if human minds ceased to exist, Delanda proposes a novel approach to social ontology that asserts the autonomy of social entities from the conceptions we have of them." Editorial.