Works by John Symons ( view other items matching `John Symons`, view all matches )
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John Symons [29]John William David Symons [1]

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Profile: John Symons (University of Kansas)
  1. John Symons, A Sketch of the History and Methodology of Ontology in the Analytic Tradition.
    The analytic tradition is sometimes criticized as being narrowly focused on language, logic or conceptual analysis to the detriment of deeper investigations into ontological, metaphysical or moral questions.1 More specifically, analytic philosophy has been associated with a positivist attitude which favored replacing the philosophy’s traditional focus on fundamental questions with an obsequiously deferential relationship to mathematics and the natural sciences. While this line of criticism obscures the historical reality and contemporary diversity of the analytic tradition, it is certainly true that (...)
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  2. John Symons, Computational Models of Emergent Properties.
    Computational modeling plays an increasingly important explanatory role in cases where we investigate systems or problems that exceed our native epistemic capacities. One clear case where technological enhancement is indispensable involves the study of complex systems.1 However, even in contexts where the number of parameters and interactions that define a problem is small, simple systems sometimes exhibit non-linear features which computational models can illustrate and track. In recent decades, computational models have been proposed as a way to assist us in (...)
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  3. John Symons, Epistemic Logic.
    Epistemic logic is the logic of knowledge and belief. It provides insight into the properties of individual knowers, has provided a means to model complicated scenarios involving groups of knowers and has improved our understanding of the dynamics of inquiry.
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  4. John Symons, Functionalism and Fallibility.
    Functionalism in the philosophy of mind rests on the claim that mental states are multiply realizable; mental states can be realized by or instantiated in a variety of distinct physical structures. To see them as multiply realizable we take mental states as causal roles rather than particular physical structures. As such, functionalism can be contrasted with metaphysical accounts which treat mental states as instances of a mental substance. Instead of puzzling over the relationship between mental and physical kinds, functionalists understand (...)
     
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  5. John Symons, Review of Giandomenico Sica (Ed.) What is Category Theory? Polimetrica, 2006. [REVIEW]
    Giandomenico Sica’s volume is a collection of eleven papers on category theory by philosophers, mathematicians, and mathematical physicists. In addition to papers of direct interest to philosophers of mathematics, the volume contains some introductory expositions of category theory along with a valuable discussion of the relationship between category theory and physics by Bob Coecke. While there are several technically difficult papers, the volume as a whole is reasonably accessible to those with some familiarity with the basics of category theory. The (...)
     
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  6. John Symons, Systems of Visual Identification in Neuroscience: Lessons From Epistemic Logic.
    The following analysis shows how developments in epistemic logic can play a nontrivial role in cognitive neuroscience. We argue that the striking correspondence between two modes of identification, as distinguished in the epistemic context, and two cognitive systems distinguished by neuroscientific investigation of the visual system (the “where” and “what” systems) is not coincidental, and that it can play a clarificatory role at the most fundamental levels of neuroscientific theory.
     
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  7. John Symons, Teleology in Biology: Haddox on the Basic Principles of the Living World.
    was a detailed analysis of the methodology of biological investigation. The dissertation examined case studies involving enzymes, proteins, catalysis and other matters apparently far removed from his later work on Mexican and Chicano thought. However, Haddox’s existential engagement with basic philosophical questions is evident throughout this work.
     
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  8. John Symons & Fabio Boschetti (forthcoming). How Computational Models Predict the Behavior of Complex Systems. Foundations of Science.
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  9. John Symons, Juan Manuel Torres & Olga Plomb (eds.) (2011). New Approaches to the Unity of Science, Vol. 1: Otto Neurath and the Unity of Science. Springer.
     
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  10. John Symons (2010). Emergence and Reflexive Downward. Principia 6 (1):183-201.
    This paper responds to Jaegwon Kim's powerful objection to the very possibility of geninely novel emergent properties. Kim argues that the incoherence of reflexive downward causation means that the causal power of an emergent phenomenon is ultimately reducible to the causal powers of the causal powers of its constituents. I offer a simple argument showing how to claracterize emergent properties in terms of the effects of structural relations on the causal powers of their constituents.
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  11. Francisco Garzon & John Symons (eds.) (2009). Routledge Companion to the Philosophy of Psychology. Routledge.
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  12. John Symons & Paco Calvo (eds.) (2009). The Routledge Companion to Philosophy of Psychology. Routledge.
  13. Paco Calvo & John Symons, Radical Embodiment and Morphological Computation: Against the Autonomy of (Some) Special Sciences.
    An asymmetry between the demands at the computational and algorithmic levels of description furnishes the illusion that the abstract profile at the computational level can be multiply realized, and that something is actually being shared at the algorithmic one. A disembodied rendering of the situation lays the stress upon the different ways in which an algorithm can be implemented. However, from an embodied approach, things look rather different. The relevant pairing, I shall argue, is not between implementation and algorithm, but (...)
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  14. John Symons (2008). A Computational Modeling Strategy for Levels. Philosophy of Science 75 (5):608-620.
    Rather than taking the ontological fundamentality of an ideal microphysics as a starting point, this article sketches an approach to the problem of levels that swaps assumptions about ontology for assumptions about inquiry. These assumptions can be implemented formally via computational modeling techniques that will be described below. It is argued that these models offer a way to save some of our prominent commonsense intuitions concerning levels. This strategy offers a way of exploring the individuation of higher level properties in (...)
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  15. John Symons (2008). Book Reviews. [REVIEW] Studia Logica 89 (2).
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  16. John Symons (2008). Intuition and Philosophical Methodology. Axiomathes 18 (1).
    Intuition serves a variety of roles in contemporary philosophy. This paper provides a historical discussion of the revival of intuition in the 1970s, untangling some of the ways that intuition has been used and offering some suggestions concerning its proper place in philosophical investigation. Contrary to some interpretations of the results of experimental philosophy, it is argued that generalized skepticism with respect to intuition is unwarranted. Intuition can continue to play an important role as part of a methodologically conservative stance (...)
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  17. Johan van Benthem, Vincent F. Hendricks & John Symons (2008). Editorial. Synthese 160 (1).
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  18. Johan van Benthem, Vincent F. Hendricks & John Symons (2007). Editorial. Synthese 154 (1).
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  19. Vincent F. Hendricks & John Symons (2006). Where's the Bridge? Epistemology and Epistemic Logic. Philosophical Studies 128 (1):137 - 167.
    Epistemic logic begins with the recognition that our everyday talk about knowing and believing has some systematic features that we can track and re‡ect upon. Epistemic logicians have studied and extended these glints of systematic structure in fascinating and important ways since the early 1960s. However, for one reason or another, mainstream epistemologists have shown little interest. It is striking to contrast the marginal role of epistemic logic in contemporary epistemology with the centrality of modal logic for metaphysicians. This article (...)
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  20. John Symons (2006). Where's the Bridge? Epistemology and Epistemic Logic. Philosophical Studies 128 (1):137 - 167.
    Epistemic logic begins with the recognition that our everyday talk about knowing and believing has some systematic features that we can track and reflect upon. Epistemic logicians have studied and extended these glints of systematic structure in fascinating and important ways since the early 1960s. However, for one reason or another, mainstream epistemologists have shown little interest. It is striking to contrast the marginal role of epistemic logic in contemporary epistemology with the centrality of modal logic for metaphysicians. This article (...)
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  21. Johan van Benthem, Vincent F. Hendricks & John Symons (2006). Editorial. Synthese 148 (1).
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  22. John Symons (2004). Editorial Note. Synthese 138 (1):V-VII.
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  23. Jaakko Hintikka & John Symons (2003). Systems of Visual Identification in Neuroscience: Lessons From Epistemic Logic. Philosophy of Science 70 (1):89-104.
    The following analysis shows how developments in epistemic logic can play a nontrivial role in cognitive neuroscience. We argue that the striking correspondence between two modes of identification, as distinguished in the epistemic context, and two cognitive systems distinguished by neuroscientific investigation of the visual system (the "where" and "what" systems) is not coincidental, and that it can play a clarificatory role at the most fundamental levels of neuroscientific theory.
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  24. John Symons (2002). Emergence and Reflexive Downward Causation. Principia 6 (1):183-202.
     
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  25. John Symons (2002). Information, Representation, and the Dynamic Systems Approach to Language. Behavioral and Brain Sciences 25 (5):640-641.
    Shanker & King (S&K) provide a criticism of information-theoretic approaches to language, but the real obstacle to their dynamicist approach is the argument that representations are an indispensable part of any cognitive theory. Since the dynamicist approach has a prima facie anti-representationalist bent, the authors must show why dynamicist views can provide adequate explanations of intelligent behavior.
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  26. John Symons (2001). Explanation and Complexity. Minds and Machines 11 (4):455-455.
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  27. John Symons (2001). Explanation, Representation and the Dynamical Hypothesis. Minds and Machines 11 (4):521-541.
    This paper challenges arguments that systematic patterns of intelligent behavior license the claim that representations must play a role in the cognitive system analogous to that played by syntactical structures in a computer program. In place of traditional computational models, I argue that research inspired by Dynamical Systems theory can support an alternative view of representations. My suggestion is that we treat linguistic and representational structures as providing complex multi-dimensional targets for the development of individual brains. This approach acknowledges the (...)
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  28. John Symons (2001). On Dennett. Wadsworth/Thompson Learning.
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  29. John Symons (2001). What Can Neuroscience Explain? Brain and Mind 2 (2):243-248.
    Horgan’s perceptive discussion of Freudian psychology, Prozac and evolutionary biology cannot mitigate the problems that seriously weaken his book (Horgan, 1999). While he certainly manages to deflate some of the more outrageous hype surrounding the scientific and often not-so-scientific study of the mind, his criticism of the brain and behavioral sciences contains a number of flaws, some of which I will address below. My response focuses on his discussion of neuroscience. As we shall see, the three mysteries that Horgan believes (...)
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