Results for 'Self-organizing systems'

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  1.  27
    Some Considerations About Interaction and Exchange of Information Between Open and Self-Organizing Systems.Norbert Fenzl - 1997 - World Futures 49 (3):401-408.
    (1997). Some considerations about interaction and exchange of information between open and self‐organizing systems. World Futures: Vol. 49, The Quest for a Unified Theory of Information, pp. 401-408.
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  2.  30
    Self-Organizing Moral Systems: Beyond Social Contract Theory.Gerald Gaus - 2018 - Politics, Philosophy and Economics 17 (2):119-147.
    This essay examines two different modes of reasoning about justice: an individual mode in which each individual judges what we all ought to do and a social mode in which we seek to reconcile our judgments of justice so that we can share common rules of justice. Social contract theory has traditionally emphasized the second, reconciliation mode, devising a central plan to do so. However, I argue that because we disagree not only in our judgments of justice but also about (...)
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  3.  13
    Nonextensive Model of Self‐Organizing Systems.Franciszek Grabowski - 2013 - Complexity 18 (5):28-36.
  4.  47
    Altricial Self-Organising Information-Processing Systems ∗.Aaron Sloman - unknown
    It is often thought that there is one key design principle or at best a small set of design principles, underlying the success of biological organisms. Candidates include neural nets, ‘swarm intelligence’, evolutionary computation, dynamical systems, particular types of architecture or use of a powerful uniform learning mechanism, e.g. reinforcement learning. All of those support types of self-organising, self-modifying behaviours. But we are nowhere near understanding the full variety of powerful information-processing principles ‘discovered’ by evolution. By attending closely to (...)
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  5.  52
    The Evolution of Consciousness as a Self-Organizing Information System in the Society of Other Such Systems.Allan Combs & Sally Goerner - 1997 - World Futures 50 (1):609-616.
    (1997). The evolution of consciousness as a self‐organizing information system in the society of other such systems. World Futures: Vol. 50, No. 1-4, pp. 609-616.
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  6.  30
    The Disappearance of Function From 'Self-Organizing Systems'.Evelyn Fox Keller - 2007 - In Fred C. Boogerd, Frank J. Bruggeman, Jan-Hendrik S. Hofmeyr & Hans V. Westerhoff (eds.), Systems Biology: Philosophical Foundations. Elsevier.
  7.  55
    Sagoff on Ecosystems as Self-Organizing Systems.Rachel Fredericks - 2013 - Ethics, Policy and Environment 16 (3):258-261.
    In “What Does Environmental Protection Protect?” Mark Sagoff argues that there is no ecological way to test the claim that natural ecosystems are complex adaptive systems. In this critical commentary, I recreate that argument, object to it, and attempt to clarify its normative upshot. I show that Sagoff relies on substantive assumptions about (1) the tools and methods of ecological science, (2) what can be done with those tools and methods, and (3) ecology’s being separable from other disciplines, all (...)
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  8.  18
    K. Menger. The Algebra of Functions: Past, Present, Future. Rendiconti di Matematica, Vol. 20 , Pp. 409–430. - Karl Menger. Function Algebra and Propositional Calculus. Self-Organizing Systems 1962, Edited by Marshall C. Yovits, George T. Jacobi, and Gordon D. Goldstein, Spartan Books, Washington, D.C., 1962, Pp. 525–532. - Karl Menger and Martin Schultz. Postulates for the Substitutive Algebra of the 2-Place Functors in the 2-Valued Calculus of Propositions. Notre Dame Journal of Formal Logic, Vol. 4 No. 3 , Pp. 188–192. - Robert E. Seall. Truth-Valued Fluents and Qualitative Laws. Philosophy of Science, Vol. 30 , Pp. 36–10. [REVIEW]Bruce Lercher - 1966 - Journal of Symbolic Logic 31 (2):272.
  9.  33
    The Structure of Multi‐Stasis: On the Evolution of Self‐Organizing Systems.Hu Tao - 1993 - World Futures 37 (1):1-28.
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  10. Divine Providence and Instrumentality: Metaphors for Time in Self-Organizing Systems and Divine Action.Stephen Happel - 1995 - In R. J. Russell, N. Murphy & A. R. Peacocke (eds.), Chaos and Complexity. Vatican Observatory Publications.
     
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  11.  18
    Genres as Self-Organising Systems.Peter B. Andersen - 2000 - In P. B. Andersen, Claus Emmeche, N. O. Finnemann & P. V. Christiansen (eds.), Downward Causation. University of Aarhus Press. pp. 214--260.
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  12.  31
    The Structure of Multi-Stasis: On the Evolution of Self-Organizing Systems.George Kampis - 1993 - World Futures 37 (1):65-67.
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  13. Genres as Self-Organizing Systems.Bach Andersen Peter - 2000 - In P. B. Andersen, Claus Emmeche, N. O. Finnemann & P. V. Christiansen (eds.), Downward Causation. University of Aarhus Press.
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  14. Quantum Fluctuation, Self-Organizing Biological Systems, and Human Freedom.Robert C. Trundle - 1994 - Idealistic Studies 24 (3):269-281.
    I now understand why the invitation to contribute an article on “chaos theory” invoked both my excitement and reticience. Let me first explain my excitement in terms of intriguing developments generated by the Cosmic Background Explorer satellite. Since COBE strengthened an “inflationary” Big Bang Theory wherein the structure of the universe was induced by random statistical fluctuations, there are implications inter alia of thermodynamics for chaotic fluctuations in both the structure and biological systems formed from it. I shall then (...)
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  15.  15
    Detecting False Testimonies in Reputation Systems Using Self-Organizing Maps.Z. Bankovic, J. C. Vallejo, D. Fraga & J. M. Moya - 2013 - Logic Journal of the IGPL 21 (4):549-559.
  16.  16
    The Kognos Principle. On the Dynamics of Self-Organizing Economic and Social Systems.Veit Pittioni - 1989 - Philosophy and History 22 (1):13-13.
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  17.  25
    Gossip-Based Self-Organising Agent Societies and the Impact of False Gossip.Sharmila Savarimuthu, Maryam Purvis, Martin Purvis & Bastin Tony Roy Savarimuthu - 2013 - Minds and Machines 23 (4):419-441.
    The objective of this work is to demonstrate how cooperative sharers and uncooperative free riders can be placed in different groups of an electronic society in a decentralised manner. We have simulated an agent-based open and decentralised P2P system which self-organises itself into different groups to avoid cooperative sharers being exploited by uncooperative free riders. This approach encourages sharers to move to better groups and restricts free riders into those groups of sharers without needing centralised control. Our approach is suitable (...)
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  18.  36
    Detecting Evolving Patterns of Self‐Organizing Networks by Flow Hierarchy Measurement.Jianxi Luo & Christopher L. Magee - 2011 - Complexity 16 (6):53-61.
    Hierarchies occur widely in evolving self‐organizing ecological, biological, technological, and social networks, but detecting and comparing hierarchies is difficult. Here we present a metric and technique to quantitatively assess the extent to which self‐organizing directed networks exhibit a flow hierarchy. Flow hierarchy is a commonly observed but theoretically overlooked form of hierarchy in networks. We show that the ecological, neurobiological, economic, and information processing networks are generally more hierarchical than their comparable random networks. We further discovered that hierarchy degree has (...)
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  19. Evolutionary Systems Biological and Epistemological Perspectives on Selection and Self-Organization.Gertrudis van de Vijver, Stanley N. Salthe & Manuela Delpos - 1998
     
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  20. Introduction to the Physics of Complex Systems: The Mesoscopic Approach to Fluctuations, Non Linearity, and Self-Organization.Roberto Serra (ed.) - 1986 - Pergamon Press.
  21.  16
    A Self‐Organizing Approach to Subject–Verb Number Agreement.Garrett Smith, Julie Franck & Whitney Tabor - 2018 - Cognitive Science 42 (S4):1043-1074.
    We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases. We first show that notional plurality ratings predict verb agreement choices in pseudopartitives, in line with the “Marking” component of the Marking and Morphing theory of agreement processing. However, no account to date has derived notional plurality values from independently needed principles of language processing. We argue on the basis of new experimental evidence and a (...)
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  22. The Fragility of Things: Self-Organizing Processes, Neoliberal Fantasies, and Democratic Activism.William E. Connolly - 2013 - Duke University Press.
    In _The Fragility of Things_, eminent theorist William E. Connolly focuses on several self-organizing ecologies that help to constitute our world. These interacting geological, biological, and climate systems, some of which harbor creative capacities, are depreciated by that brand of neoliberalism that confines self-organization to economic markets and equates the latter with impersonal rationality. Neoliberal practice thus fails to address the fragilities it exacerbates. Engaging a diverse range of thinkers, from Friedrich Hayek, Michel Foucault, Hesiod, and Immanuel Kant (...)
     
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  23.  41
    Adding Ingredients to the Self-Organizing Dynamic System Stew: Motivation, Communication, and Higher-Level Emotions – and Don't Forget the Genes!Ross Buck - 2005 - Behavioral and Brain Sciences 28 (2):197-198.
    Self-organizing dynamic systems (DS) modeling is appropriate to conceptualizing the relationship between emotion and cognition-appraisal. Indeed, DS modeling can be applied to encompass and integrate additional phenomena at levels lower than emotional interpretations (genes), at the same level (motives), and at higher levels (social, cognitive, and moral emotions). Also, communication is a phenomenon involved in dynamic system interactions at all levels.
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  24.  8
    Self-Organizing Dynamics of a Minimal Protocell.Walter Riofrio - 2008 - Proceedings of the Xxii World Congress of Philosophy 43:185-191.
    In this paper, we present an argument showing why the general properties of a self-organizing system (e.g. being far from equilibrium) may be too weak to characterize biological and proto-biological systems. The special character of biological systems, tell us that its distinctive capacities could have been developed in pre-biotic times. In other words, the basic properties of life would be better comprehended if we think that they were much more likely early in time. We developed a conceptual (...)
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  25. The Origins of Order Self-Organization and Selection in Evolution.Stuart A. Kauffman - 1993 - Oxford University Press.
  26. Emergence, Self-Organization, and Social Interaction: Arousal-Dependent Structure in Social Systems.Thomas S. Smith & Gregory T. Stevens - 1996 - Sociological Theory 14 (2):131-153.
    The understanding of emergent, self-organizing phenomena has been immensely deepened in recent years on the basis of simulation-based theoretical research. We discuss these new ideas, and illustrate them using examples from several fields. Our discussion serves to introduce equivalent self-organized phenomena in social interaction. Interaction systems appear to be structured partly by virtue of such emergents. These appear under specific conditions: When cognitive buffering is inadequate relative to the levels of stress persons are subjected to, anxiety-spreading has the (...)
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  27.  64
    Self-Organization and Irreducibly Complex Systems: A Reply to Shanks and Joplin.Michael J. Behe - 2000 - Philosophy of Science 67 (1):155-162.
    Some biochemical systems require multiple, well-matched parts in order to function, and the removal of any of the parts eliminates the function. I have previously labeled such systems "irreducibly complex," and argued that they are stumbling blocks for Darwinian theory. Instead I proposed that they are best explained as the result of deliberate intelligent design. In a recent article Shanks and Joplin analyze and find wanting the use of irreducible complexity as a marker for intelligent design. Their primary (...)
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  28.  3
    Self-Organization and Irreducibly Complex Systems: A Reply to Shanks and Joplin.Michael J. Behe - 2000 - Philosophy of Science 67 (1):155–162.
    Some biochemical systems require multiple, well-matched parts in order to function, and the removal of any of the parts eliminates the function. I have previously labeled such systems "irreducibly complex," and argued that they are stumbling blocks for Darwinian theory. Instead I proposed that they are best explained as the result of deliberate intelligent design. In a recent article Shanks and Joplin analyze and find wanting the use of irreducible complexity as a marker for intelligent design. Their primary (...)
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  29.  8
    Optimizing the Self-Organizing Team Size Using a Genetic Algorithm in Agile Practices.Wael Almadhoun & Mohammad Hamdan - 2019 - Journal of Intelligent Systems 29 (1):1151-1165.
    In agile software processes, the issue of team size is an important one. In this work we look at how to find the optimal, or near optimal, self-organizing team size using a genetic algorithm which considers team communication efforts. Communication, authority, roles, and learning are the team’s performance characteristics. The GA has been developed according to performance characteristics. A survey was used to evaluate the communication weight factors, which were qualitatively assessed and used in the algorithm’s objective function. The (...)
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  30. At Home in the Universe the Search for Laws of Self-Organization and Complexity.Stuart A. Kauffman - 1995
  31.  39
    Reciprocal Linkage Between Self-Organizing Processes is Sufficient for Self-Reproduction and Evolvability.Terrence W. Deacon - 2006 - Biological Theory 1 (2):136-149.
    A simple molecular system is described consisting of the reciprocal linkage between an autocatalytic cycle and a self-assembling encapsulation process where the molecular constituents for the capsule are products of the autocatalysis. In a molecular environment sufficiently rich in the substrates, capsule growth will also occur with high predictability. Growth to closure will be most probable in the vicinity of the most prolific autocatalysis and will thus tend to spontaneously enclose supportive catalysts within the capsule interior. If subsequently disrupted in (...)
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  32.  11
    Self-Organized Complexity in the Physical, Biological, and Social Sciences.Donald Lawson Turcotte, John Rundle & Hans Frauenfelder (eds.) - 2002 - National Academy of Sciences.
    Self-organized complexity in the physical, biological, and social sciences Donald L Turcotte*f and John B. Rundle* *Department of Earth and Atmospheric ...
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  33.  16
    Selected Writings on Self-Organization, Philosophy, Bioethics, and Judaism.Henri Atlan - 2011 - Fordham University Press.
    Self-organization -- Organisms, finalisms, programs, machines -- Spinoza -- Judaism, determinism, and rationalities -- Fabricating the living -- Ethics.
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  34. Are Self-Organizing Biochemical Networks Emergent?Christophe Malaterre - 2009 - In Maryvonne Gérin & Marie-Christine Maurel (eds.), Origins of Life: Self-Organization and/or Biological Evolution? EDP Sciences. pp. 117--123.
    Biochemical networks are often called upon to illustrate emergent properties of living systems. In this contribution, I question such emergentist claims by means of theoretical work on genetic regulatory models and random Boolean networks. If the existence of a critical connectivity Kc of such networks has often been coined “emergent” or “irreducible”, I propose on the contrary that the existence of a critical connectivity Kc is indeed mathematically explainable in network theory. This conclusion also applies to many other types (...)
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  35. Science of Self-Organization and Self-Organization of Science.Irina Dobronravova & Wolfgang Hofkirchner (eds.) - 2004 - "Abris".
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  36. The Physics of Complex Systems: Proceedings of the International School of Physics ≪≪Enrico Fermi≫≫: Course Cxxxiv: Varenna on Lake Como, Villa Monastero, 9-19 July 1996.F. Mallamace & H. Eugene Stanley (eds.) - 1997 - Ios Press.
  37.  16
    Bringing Knowing-When and Knowing-What Together: Periodically Tuned Categorization and Category-Based Timing Modeled with the Recurrent Oscillatory Self-Organizing Map (ROSOM). [REVIEW]Mauri Kaipainen & Pasi Karhu - 2000 - Minds and Machines 10 (2):203-229.
    The study addresses the cyclically temporal aspect of sequence recognition, storage and recall using the Recurrent Oscillatory Self-Organizing Map (ROSOM), first introduced by Kaipainen, Papadopoulos and Karhu (1997). The unique solution of the network is that oscillatory States are assigned to network units, corresponding to their `readiness-to-fire''. The ROSOM is a categorizer, a temporal sequence storage system and a periodicity detector designed for use in an ambiguous cyclically repetitive environment. As its external input, the model accepts a multidimensional stream (...)
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  38.  48
    A Journey Into Chaos: Creativity and the Unconscious.N. C. Andreasen - 2011 - Mens Sana Monographs 9 (1):42.
    The capacity to be creative, to produce new concepts, ideas, inventions, objects or art, is perhaps the most important attribute of the human brain. We know very little, however, about the nature of creativity or its neural basis. Some important questions include how should we define creativity? How is it related (or unrelated) to high intelligence? What psychological processes or environmental circumstance cause creative insights to occur? How is it related to conscious and unconscious processes? What is happening at the (...)
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  39.  89
    Natural Selection and Self-Organization.Bruce H. Weber & David J. Depew - 1996 - Biology and Philosophy 11 (1):33-65.
    The Darwinian concept of natural selection was conceived within a set of Newtonian background assumptions about systems dynamics. Mendelian genetics at first did not sit well with the gradualist assumptions of the Darwinian theory. Eventually, however, Mendelism and Darwinism were fused by reformulating natural selection in statistical terms. This reflected a shift to a more probabilistic set of background assumptions based upon Boltzmannian systems dynamics. Recent developments in molecular genetics and paleontology have put pressure on Darwinism once again. (...)
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  40.  41
    Signal‐Regulated Systems and Networks.Terence L. van Zyl & Elizabeth M. Ehlers - 2010 - Complexity 15 (6):50-63.
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  41.  5
    A Self-Organising Strategy for Digital Neural Networks.M. A. Kerin & T. J. Stonham - 1992 - Journal of Intelligent Systems 2 (1-4):291-311.
  42.  13
    Self-Organizing Brains Don't Develop Gradually.Marc D. Lewis - 2001 - Behavioral and Brain Sciences 24 (1):47-47.
    Some dynamic systems approaches posit discontinuous changes, even universal stages, in development. Conversely, Thelen and colleagues see development as gradual because it relies on real-time interactions among many components. Yet their new model hinges on one parameter, neural cooperativity, that should change discontinuously because it engenders new skills that catalyze neural connectivity. In fact, research on cortical connectivity finds development to be discontinuous, and possibly stage-like, based on experience-dependent and experience-independent factors.
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  43.  44
    Topological Self‐Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain.Fabian Chersi, Marcello Ferro, Giovanni Pezzulo & Vito Pirrelli - 2014 - Topics in Cognitive Science 6 (3):476-491.
    A growing body of evidence in cognitive psychology and neuroscience suggests a deep interconnection between sensory-motor and language systems in the brain. Based on recent neurophysiological findings on the anatomo-functional organization of the fronto-parietal network, we present a computational model showing that language processing may have reused or co-developed organizing principles, functionality, and learning mechanisms typical of premotor circuit. The proposed model combines principles of Hebbian topological self-organization and prediction learning. Trained on sequences of either motor or linguistic units, (...)
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  44. How Convenient! The Epistemic Rationale of Self-Validating Belief Systems.Maarten Boudry & Johan Braeckman - 2012 - Philosophical Psychology 25 (3):341-364.
    This paper offers an epistemological discussion of self-validating belief systems and the recurrence of ?epistemic defense mechanisms? and ?immunizing strategies? across widely different domains of knowledge. We challenge the idea that typical ?weird? belief systems are inherently fragile, and we argue that, instead, they exhibit a surprising degree of resilience in the face of adverse evidence and criticism. Borrowing from the psychological research on belief perseverance, rationalization and motivated reasoning, we argue that the human mind is particularly susceptible (...)
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  45.  46
    Self‐Organizing Market Structures, System Dynamics, and Urn Theory.Fernando Buendía - 2013 - Complexity 18 (4):28-40.
  46.  53
    WikiSilo: A Self-Organizing, Crowd Sourcing System for Interdisciplinary Science [Supporting Paper].David Pierre Leibovitz, Robert L. West & Mike Belanger - manuscript
    WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...)
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  47. Debating Design: From Darwin to Dna.William A. Dembski & Michael Ruse (eds.) - 2004 - Cambridge University Press.
    In this book, first published in 2004, William Dembski, Michael Ruse, and other prominent philosophers provide a comprehensive balanced overview of the debate concerning biological origins - a controversial dialectic since Darwin published The Origin of Species in 1859. Invariably, the source of controversy has been 'design'. Is the appearance of design in organisms the result of purely natural forces acting without prevision or teleology? Or, does the appearance of design signify genuine prevision and teleology, and, if so, is that (...)
     
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  48. EVOLUTIONARY-ANTHROPOLOGICAL ASPECTS OF A.A. BOGDANOV's TECTOLOGICAL CONCEPT. THE VIEW FROM THE XXI CENTURY.Valentin Cheshko - 2014 - Integral 4 (77):40-44.
    The stable evolutionary strategy of Homo sapiens and patterns of risks arising in the course of this evolution were discussed in article. These patterns were predicted by Bogdanov’s option of General systems theory.
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  49. Adam Smith's Political Philosophy: The Invisible Hand and Spontaneous Order.Craig Smith - 2006 - Routledge.
    When Adam Smith published his celebrated writings on economics and moral philosophy he famously referred to the operation of an invisible hand. Adam Smith's Political Philosophy makes visible the invisible hand by examining its significance in Smith's political philosophy and relating it to similar concepts used by other philosophers, revealing a distinctive approach to social theory that stresses the significance of the unintended consequences of human action. This book introduces greater conceptual clarity to the discussion of the invisible hand and (...)
  50. The Evolving Mind.Ben Goertzel - 1993
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