Results for 'complexity'

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  1.  51
    Complexity: A Guided Tour.Melanie Mitchell - 2009 - Oxford University Press.
    What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex (...)
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  2.  25
    Complexity: Life at the Edge of Chaos.Roger Lewin - 1993 - Maxwell Macmillan International.
    Examines the field of complexity science, with sections focusing on how the discipline works within computer simulations, natural ecosystems, and various social systems.
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  3. Complexity and the Function of Mind in Nature.Peter Godfrey-Smith - 1996 - Cambridge University Press.
    This book explains the relationship between intelligence and environmental complexity, and in so doing links philosophy of mind to more general issues about the relations between organisms and environments, and to the general pattern of 'externalist' explanations. The author provides a biological approach to the investigation of mind and cognition in nature. In particular he explores the idea that the function of cognition is to enable agents to deal with environmental complexity. The history of the idea in the (...)
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  4. Discovering Complexity Decomposition and Localization as Strategies in Scientific Research.William Bechtel & Robert C. Richardson - 1993 - Princeton.
  5. Complexity and Postmodernism: Understanding Complex Systems.Paul Cilliers - 1998 - Routledge.
    Complexity and Postmodernism explores the notion of complexity in the light of contemporary perspectives from philosophy and science. The book integrates insights from complexity and computational theory with the philosophical position of thinkers including Derrida and Lyotard. Paul Cilliers takes a critical stance towards the use of the analytical method as a tool to cope with complexity, and he rejects Searle's superficial contribution to the debate.
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  6. Complex Demonstratives, Hidden Arguments, and Presupposition.Ethan Nowak - 2019 - Synthese (4):1-36.
    Standard semantic theories predict that non-deictic readings for complex demonstratives should be much more widely available than they in fact are. If such readings are the result of a lexical ambiguity, as Kaplan (1977) and others suggest, we should expect them to be available wherever a definite description can be used. The same prediction follows from ‘hidden argument’ theories like the ones described by King (2001) and Elbourne (2005). Wolter (2006), however, has shown that complex demonstratives admit non-deictic interpretations only (...)
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  7.  38
    Biological Complexity and Integrative Pluralism.Sandra D. Mitchell - 2003 - Cambridge University Press.
    This fine collection of essays by a leading philosopher of science presents a defence of integrative pluralism as the best description for the complexity of scientific inquiry today. The tendency of some scientists to unify science by reducing all theories to a few fundamental laws of the most basic particles that populate our universe is ill-suited to the biological sciences, which study multi-component, multi-level, evolved complex systems. This integrative pluralism is the most efficient way to understand the different and (...)
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  8.  75
    Unsimple Truths: Science, Complexity, and Policy.Sandra D. Mitchell - 2009 - University of Chicago Press.
    The world is complex, but acknowledging its complexity requires an appreciation for the many roles context plays in shaping natural phenomena. In _Unsimple Truths, _Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many (...)
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  9. Complexity and Extended Phenomenological‐Cognitive Systems.Michael Silberstein & Anthony Chemero - 2012 - Topics in Cognitive Science 4 (1):35-50.
    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, (...)
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  10. Complexity and Coherency: Integrating Information in the Brain.Giulio Tononi, Gerald M. Edelman & Olaf Sporns - 1998 - Trends in Cognitive Sciences 2 (12):474-484.
    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 (...)
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  11.  84
    Complexity and Evolution: What Everybody Knows.Daniel W. McShea - 1991 - Biology and Philosophy 6 (3):303-324.
    The consensus among evolutionists seems to be that the morphological complexity of organisms increases in evolution, although almost no empirical evidence for such a trend exists. Most studies of complexity have been theoretical, and the few empirical studies have not, with the exception of certain recent ones, been especially rigorous; reviews are presented of both the theoretical and empirical literature. The paucity of evidence raises the question of what sustains the consensus, and a number of suggestions are offered, (...)
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  12.  48
    Complex Problem Solving: What It Is and What It Is Not.Dörner Dietrich & Funke Joachim - 2017 - Frontiers in Psychology 8.
    Computer-simulated scenarios have been part of psychological research on problem solving for more than 40 years. The shift in emphasis from simple toy problems to complex, more real-life oriented problems has been accompanied by discussions about the best ways to assess the process of solving complex problems. Psychometric issues such as reliable assessments and addressing correlations with other instruments have been in the foreground of these discussions and have left the content validity of complex problem solving in the background. In (...)
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  13.  19
    Complex Societies.Peter J. Richerson & Robert Boyd - 1999 - Human Nature 10 (3):253-289.
    The complexity of human societies of the past few thousand years rivals that of social insect societies. We hypothesize that two sets of social “instincts” underpin and constrain the evolution of complex societies. One set is ancient and shared with other social primate species, and one is derived and unique to our lineage. The latter evolved by the late Pleistocene, and led to the evolution of institutions of intermediate complexity in acephalous societies. The institutions of complex societies often (...)
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  14.  64
    Complex Demonstratives: A Quantificational Account.Jason Staley - 2002 - Philosophical Review 111 (4):605-609.
    Complex demonstrative phrases, in English, are phrases such as ‘that woman in the department’ and ‘that car on the corner’. They are of particular interest to philosophers for two related reasons. The first involves the problem of intentionality. If there are phrases that are candidates for “latching directly onto the world,” they are such phrases, and their “simple” counterparts, as in the occurrences of ‘that’ in ‘that is nice’. As a result, philosophers interested in intentionality, from the sense-data theorists to (...)
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  15.  41
    Complexics as a Meta-Transdisciplinary Field.Albert Bastardas-Boada - 2019 - Congrès Mondial Pour la Pensée Complexe. Les Défis D’Un Monde Globalisé. (Paris, 8-9 Décembre. UNESCO).
    ‘Complexics’ denotes the meta-transdisciplinary field specifically concerned with giving us suitable cognitive tools to understand the world’s complexity. Additionally, the use of the adjective ‘complexical’ would avoid the common confusion caused by the adjective ‘complex’, which belongs to everyday usage and already has its own connotations of complication and confusion. Thus, ‘complexical’ thinking and ‘complexical’ perspective would provide clearer terms, be freer of confusion, and refer more precisely to epistemic elements in contrast to the ‘complexity’ typical of many (...)
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  16. Kinds, Complexity, and Multiple Realization.Robert Boyd - 1999 - Philosophical Studies 95 (1-2):67-98.
  17.  1
    Simply Complexity: A Clear Guide to Complexity Theory.Neil F. Johnson - 2009 - Oneworld.
    What exactly is complexity science? Two's company, three is complexity ; Disorder rules, OK? ; Chaos and all that jazz ; Mob mentality ; Getting connected -- What can complexity science do for me? Forecasting financial markets ; Tackling traffic networks and climbing the corporate ladder ; Looking for Mr./Mrs. Right ; Coping with conflict : next-generation wars and global terrorism -- Catching a cold, avoiding super-flu and curing cancer ; The mother of all complexities : our (...)
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  18. Complexity of Admissible Rules.Emil Jeřábek - 2007 - Archive for Mathematical Logic 46 (2):73-92.
    We investigate the computational complexity of deciding whether a given inference rule is admissible for some modal and superintuitionistic logics. We state a broad condition under which the admissibility problem is coNEXP-hard. We also show that admissibility in several well-known systems (including GL, S4, and IPC) is in coNE, thus obtaining a sharp complexity estimate for admissibility in these systems.
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  19. The Complex Act of Projecting Oneself Into the Future.Stan Klein - 2013 - WIREs Cognitive Science 4:63-79.
    Research on future-oriented mental time travel (FMTT) is highly active yet somewhat unruly. I believe this is due, in large part, to the complexity of both the tasks used to test FMTT and the concepts involved. Extraordinary care is a necessity when grappling with such complex and perplexing metaphysical constructs as self and time and their co-instantiation in memory. In this review, I first discuss the relation between future mental time travel and types of memory (episodic and semantic). I (...)
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  20.  65
    Complex Demonstratives: A Quantificational Account.Jeffrey C. King - 2001 - MIT Press.
    A challenge to the orthodoxy, which shows that quantificational accounts are not only as effective as direct reference accounts but also handle a wider range of ...
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  21. Complex Predicates and Logics for Properties and Relations.Chris Swoyer - 1998 - Journal of Philosophical Logic 27 (3):295-325.
    In this paper I present a formal language in which complex predicates stand for properties and relations, and assignments of denotations to complex predicates and assignments of extensions to the properties and relations they denote are both homomorphisms. This system affords a fresh perspective on several important philosophical topics, highlighting the algebraic features of properties and clarifying the sense in which properties can be represented by their extensions. It also suggests a natural modification of current logics of properties, one in (...)
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  22. Complexities: Social Studies of Knowledge Practices.John Law & Annemarie Mol (eds.) - 2002 - Duke University Press.
    Although much recent social science and humanities work has been a revolt against simplification, this volume explores the contrast between simplicity and complexity to reveal that this dichotomy, itself, is too simplistic. John Law and Annemarie Mol have gathered a distinguished panel of contributors to offer—particularly within the field of science studies—approaches to a theory of complexity, and at the same time a theoretical introduction to the topic. Indeed, they examine not only ways of relating to complexity (...)
     
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  23.  1
    Complexity: Hierarchical Structures and Scaling in Physics.R. Badii - 1997 - Cambridge University Press.
    This is a comprehensive discussion of complexity as it arises in physical, chemical, and biological systems, as well as in mathematical models of nature. Common features of these apparently unrelated fields are emphasised and incorporated into a uniform mathematical description, with the support of a large number of detailed examples and illustrations. The quantitative study of complexity is a rapidly developing subject with special impact in the fields of physics, mathematics, information science, and biology. Because of the variety (...)
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  24.  61
    Really Complex Demonstratives: A Dilemma.Ethan Nowak - forthcoming - Erkenntnis:1-24.
    I have two aims for the present paper, one narrow and one broad. The narrow aim is to show that a class of data originally described by Lynsey Wolter empirically undermine the leading treatments of complex demonstratives that have been described in the literature. The broader aim of the paper is to show that Wolter demonstratives, as I will call the constructions I focus on, are a threat not just to existing treatments, but to any possible theory that retains the (...)
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  25.  58
    Syntactic Complexity Effects in Sentence Production.Gregory Scontras, William Badecker, Lisa Shank, Eunice Lim & Evelina Fedorenko - 2015 - Cognitive Science 39 (3):559-583.
    Syntactic complexity effects have been investigated extensively with respect to comprehension . According to one prominent class of accounts , certain structures cause comprehension difficulty due to their scarcity in the language. But why are some structures less frequent than others? In two elicited-production experiments we investigated syntactic complexity effects in relative clauses and wh-questions varying in whether or not they contained non-local dependencies. In both experiments, we found reliable durational differences between subject-extracted structures and object-extracted structures : (...)
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  26. The Complex Tapestry of Free Will: Striving Will, Indeterminism and Volitional Streams.Robert Kane - 2019 - Synthese 196 (1):145-160.
    The aim of this paper is to respond to recent discussion of, and objections to, the libertarian view of free will I have developed in many works over the past four decades. The issues discussed all have a bearing on the central question of how one might make sense of a traditional free will requiring indeterminism in the light of modern science. This task involves, among other things, avoiding all traditional libertarian appeals to unusual forms of agency or causation that (...)
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  27. Complex Demonstratives and Their Singular Contents.David Braun - 2008 - Linguistics and Philosophy 31 (1):57-99.
    This paper presents a semantic and pragmatic theory of complex demonstratives. According to this theory, the semantic content of a complex demonstrative, in a context, is simply an object, and the semantic content of a sentence that contains a complex demonstrative, in a context, is a singular proposition. This theory is defended from various objections to direct reference theories of complex demonstratives, including King's objection from quantification into complex demonstratives.
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  28. What is a Complex System?James Ladyman, James Lambert & Karoline Wiesner - 2013 - European Journal for Philosophy of Science 3 (1):33-67.
    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 (...)
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  29. Complexity and Information: Measuring Emergence, Self‐Organization, and Homeostasis at Multiple Scales.Carlos Gershenson & Nelson Fernández - 2013 - Complexity 18 (2):29-44.
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  30.  27
    Complexity and Language Contact: A Socio-Cognitive Framework.Albert Bastardas-Boada - 2017 - In Salikoko Mufwene, F. Pellegrino & C. Coupé (eds.), Complexity in language. Developmental and evolutionary perspectives. Cambridge, UK: Cambridge University Press. pp. 218-243.
    Throughout most of the 20th century, analytical and reductionist approaches have dominated in biological, social, and humanistic sciences, including linguistics and communication. We generally believed we could account for fundamental phenomena in invoking basic elemental units. Although the amount of knowledge generated was certainly impressive, we have also seen limitations of this approach. Discovering the sound formants of human languages, for example, has allowed us to know vital aspects of the ‘material’ plane of verbal codes, but it tells us little (...)
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  31.  44
    Complexity Perspectives on Language, Communication and Society.Albert Bastardas-Boada & Àngels Massip-Bonet (eds.) - 2013 - Berlin: Springer.
    The “language-communication-society” triangle defies traditional scientific approaches. Rather, it is a phenomenon that calls for an integration of complex, transdisciplinary perspectives, if we are to make any progress in understanding how it works. The highly diverse agents in play are not merely cognitive and/or cultural, but also emotional and behavioural in their specificity. Indeed, the effort may require building a theoretical and methodological body of knowledge that can effectively convey the characteristic properties of phenomena in human terms. New complexity (...)
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  32. Computational Complexity of Polyadic Lifts of Generalized Quantifiers in Natural Language.Jakub Szymanik - 2010 - Linguistics and Philosophy 33 (3):215-250.
    We study the computational complexity of polyadic quantifiers in natural language. This type of quantification is widely used in formal semantics to model the meaning of multi-quantifier sentences. First, we show that the standard constructions that turn simple determiners into complex quantifiers, namely Boolean operations, iteration, cumulation, and resumption, are tractable. Then, we provide an insight into branching operation yielding intractable natural language multi-quantifier expressions. Next, we focus on a linguistic case study. We use computational complexity results to (...)
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  33.  34
    Functional Complexity in Organisms: Parts as Proxies. [REVIEW]Daniel W. McShea - 2000 - Biology and Philosophy 15 (5):641-668.
    The functional complexity, or the number of functions, of organisms hasfigured prominently in certain theoretical and empirical work inevolutionary biology. Large-scale trends in functional complexity andcorrelations between functional complexity and other variables, such assize, have been proposed. However, the notion of number of functions hasalso been operationally intractable, in that no method has been developedfor counting functions in an organism in a systematic and reliable way.Thus, studies have had to rely on the largely unsupported assumption thatnumber of (...)
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  34. Complex Emergence and the Living Organization: An Epistemological Framework for Biology.Leonardo Bich - 2012 - Synthese 185 (2):215-232.
    In this article an epistemological framework is proposed in order to integrate the emergentist thought with systemic studies on biological autonomy, which are focused on the role of organization. Particular attention will be paid to the role of the observer’s activity, especially: (a) the different operations he performs in order to identify the pertinent elements at each descriptive level, and (b) the relationships between the different models he builds from them. According to the approach sustained here, organization will be considered (...)
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  35. Weighing Complex Evidence in a Democratic Society.Heather Douglas - 2012 - Kennedy Institute of Ethics Journal 22 (2):139-162.
    Weighing complex sets of evidence (i.e., from multiple disciplines and often divergent in implications) is increasingly central to properly informed decision-making. Determining “where the weight of evidence lies” is essential both for making maximal use of available evidence and figuring out what to make of such evidence. Weighing evidence in this sense requires an approach that can handle a wide range of evidential sources (completeness), that can combine the evidence with rigor, and that can do so in a way other (...)
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  36.  4
    A Complexity Level Analysis of Vision.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):423-445.
    The general problem of visual search can be shown to be computationally intractable in a formal, complexity-theoretic sense, yet visual search is extensively involved in everyday perception, and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential (...)
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  37. Complex Systems, Trade‐Offs, and Theoretical Population Biology: Richard Levin's “Strategy of Model Building in Population Biology” Revisited.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
    Ecologist Richard Levins argues population biologists must trade‐off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade‐off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments fail since (...)
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  38.  17
    Complex Knowledge: Studies in Organizational Epistemology.Haridimos Tsoukas - 2004 - Oxford University Press.
    In this book Haridimos Tsoukas, one of the most imaginative organization theorists of our time, examines the nature of knowledge in organizations, and how individuals and scholars approach the concept of knowledge. -/- Tsoukas firstly looks at organizational knowledge and its embeddedness in social contexts and forms of life. He shows that knowledge is not just a collection of free floating representations of the world to be used at will, but an activity constitutive of the world. On the one hand (...)
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  39.  46
    Evaluating Complex Collaborative Expertise: The Case of Climate Change. [REVIEW]William Rehg - 2011 - Argumentation 25 (3):385-400.
    Science advisory committees exercise complex collaborative expertise. Not only do committee members collaborate, they do so across disciplines, producing expert reports that make synthetic multidisciplinary arguments. When reports are controversial, critics target both report content and committee process. Such controversies call for the assessment of expert arguments, but the multidisciplinary character of the debate outstrips the usual methods developed by informal logicians for assessing appeals to expert authority. This article proposes a multi-dimensional contextualist framework for critical assessment and tests it (...)
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  40.  90
    Complexity and Transdisciplinarity: Reflections on Theory and Practice.Alfonso Montuori - 2013 - World Futures 69 (4-6):200 - 230.
    (2013). Complexity and Transdisciplinarity: Reflections on Theory and Practice. World Futures: Vol. 69, The Complexity of Life and Lives of Complexity, pp. 200-230.
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  41.  24
    Linguistic Complexity: Locality of Syntactic Dependencies.Edward Gibson - 1998 - Cognition 68 (1):1-76.
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  42. Kinds, Complexity and Multiple Realization.Richard Boyd - 1999 - Philosophical Studies 95 (1):67-98.
  43. Complexity of Judgment Aggregation.Ulle Endriss, Umberto Grandi & Daniele Porello - 2012 - Journal of Artificial Intelligence Research 45:481--514.
    We analyse the computational complexity of three problems in judgment aggregation: (1) computing a collective judgment from a profile of individual judgments (the winner determination problem); (2) deciding whether a given agent can influence the outcome of a judgment aggregation procedure in her favour by reporting insincere judgments (the strategic manipulation problem); and (3) deciding whether a given judgment aggregation scenario is guaranteed to result in a logically consistent outcome, independently from what the judgments supplied by the individuals are (...)
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  44.  54
    Complex Societies.Peter J. Richerson & Robert Boyd - 1999 - Human Nature 10 (3):253-289.
    The complexity of human societies of the past few thousand years rivals that of social insect societies. We hypothesize that two sets of social “instincts” underpin and constrain the evolution of complex societies. One set is ancient and shared with other social primate species, and one is derived and unique to our lineage. The latter evolved by the late Pleistocene, and led to the evolution of institutions of intermediate complexity in acephalous societies. The institutions of complex societies often (...)
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  45. Complex Demonstratives.Emma Borg - 2000 - Philosophical Studies 97 (2):229-249.
    Some demonstrative expressions, those we might term ‘bare demonstratives’, appear without any appended descriptive content (e.g. occurrences of ‘this’ or ‘that’ simpliciter). However, it seems that the majority of demonstrative occurrences do not follow this model. ‘Complex demonstratives’ is the collective term I shall use for phrases formed by adjoining one or more common nouns to a demonstrative expression (e.g. ‘that cat’, ‘this happy man’) and I will call the combination of predicates immediately concatenated with the demonstrative in such phrases (...)
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  46.  11
    The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies.Rui Ding - 2019 - Complexity 2019:1-14.
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  47.  49
    The Complex Relation Between Morality and Empathy.Jean Decety & Jason M. Cowell - 2014 - Trends in Cognitive Sciences 18 (7):337-339.
  48. Complexity Biology-Based Information Structures Can Explain Subjectivity, Objective Reduction of Wave Packets, and Non-Computability.Alex Hankey - 2014 - Cosmos and History 10 (1):237-250.
    Background: how mind functions is subject to continuing scientific discussion. A simplistic approach says that, since no convincing way has been found to model subjective experience, mind cannot exist. A second holds that, since mind cannot be described by classical physics, it must be described by quantum physics. Another perspective concerns mind's hypothesized ability to interact with the world of quanta: it should be responsible for reduction of quantum wave packets; physics producing 'Objective Reduction' is postulated to form the basis (...)
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  49.  34
    The Moment of Complexity: Emerging Network Culture.Mark C. Taylor - 2001 - University of Chicago Press.
    "_The Moment of Complexity_ is a profoundly original work. In remarkable and insightful ways, Mark Taylor traces an entirely new way to view the evolution of our culture, detailing how information theory and the scientific concept of complexity can be used to understand recent developments in the arts and humanities. This book will ultimately be seen as a classic."-John L. Casti, Santa Fe Institute, author of _Gödel: A Life of Logic, the Mind, and Mathematics_ The science of complexity (...)
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  50. Complexity Science: A "Gray" Science for the "Stuff in Between".Kurt A. Richardson, Paul Cilliers & Michael Lissack - 2001 - Emergence: Complexity and Organization 3 (2):6-18.
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