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  1. Naturalizing Phenomenology: Issues in Contemporary Phenomenology and Cognitive Science.Jean Petitot, Francisco J. Varela, Bernard Pachoud & Jean-Michel Roy (eds.) - 1999 - Stanford University Press.
    This ambitious work aims to shed new light on the relations between Husserlian phenomenology and the present-day efforts toward a scientific theory of cognition—with its complex structure of disciplines, levels of explanation, and ...
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  2. Beyond the gap: An introduction to naturalizing phenomenology.Jean-Michel Roy, Jean Petitot, Bernard Pachoud & Francisco J. Varela - 1999 - In Jean Petitot, Francisco J. Varela, Bernard Pachoud & Jean-Michel Roy (eds.), Naturalizing Phenomenology: Issues in Contemporary Phenomenology and Cognitive Science. Stanford University Press.
     
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  3. Physics and the phenomenal world.Jean Petitot & Barry Smith - 1996 - In Roberto Poli & Peter Simons (eds.), Formal Ontology: Papers Presented at the International Summer School in Philosophy and Artificial Intelligence on "Formal Ontology", Bolzano, Italy, July 1-5, 1991, Central European Institute of Culture. Dordrecht, Netherland: Kluwer. pp. 233-254.
    The paper challenges the assumption, common amongst philosophers, that the reality described in the fundamental theories of microphysics is all the reality we have. It will be argued that this assumption is in fact incompatible with the nature of such theories. It will be shown further that the macro-world of three-dimensional bodies and of such qualitative structures as colour and sound can be treated scientifically on its own terms, which is to say not only from the perspective of psychology but (...)
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  4. New foundations for qualitative physics.Jean Petitot & Barry Smith - 1990 - In J. E. Tiles, G. T. McKee & G. C. Dean (eds.), Evolving knowledge in natural science and artificial intelligence. London: Pitman. pp. 231-49.
    Physical reality is all the reality we have, and so physical theory in the standard sense is all the ontology we need. This, at least, was an assumption taken almost universally for granted by the advocates of exact philosophy for much of the present century. Every event, it was held, is a physical event, and all structure in reality is physical structure. The grip of this assumption has perhaps been gradually weakened in recent years as far as the sciences of (...)
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  5.  43
    Why Connectionism is Such a Good Thing. A Criticism of Fodor and Pylyshyn's Criticism of Smolensky.Jean Petitot - 1991 - Philosophica 47.
  6. Morphological eidetics for phenomenology of perception.Jean Petitot - 1999 - In Jean Petitot, Francisco J. Varela, Bernard Pachoud & Jean-Michel Roy (eds.), Naturalizing Phenomenology: Issues in Contemporary Phenomenology and Cognitive Science. Stanford University Press. pp. 330--371.
     
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  7.  34
    Morphodynamics and attractor syntax: constituency in visual perception and cognitive grammar.Jean Petitot - 1995 - In Tim van Gelder & Robert Port (eds.), Mind As Motion: Explorations in the Dynamics of Cognition. MIT Press. pp. 227--83.
  8.  25
    Le Physique, le Morphologique, le Symbolique.Jean Petitot - 1990 - Revue de Synthèse 111 (1-2):139-183.
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  9.  32
    Refaire le «Timée»:. Introduction à la philosophie mathématique d'Albert Lautman.Jean Petitot - 1987 - Revue d'Histoire des Sciences 40 (1):79-115.
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  10.  15
    Hypothèse localiste, modèles morphodynamiques et théories cognitives: Remarques sur une note de 1975.Jean Petitot - 1989 - Semiotica 77 (1-3):65-120.
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  11. Programming the Emergence in Morphogenetically Architected Complex Systems.Franck Varenne, Pierre Chaigneau, Jean Petitot & René Doursat - 2015 - Acta Biotheoretica 63 (3):295-308.
    Large sets of elements interacting locally and producing specific architectures reliably form a category that transcends the usual dividing line between biological and engineered systems. We propose to call them morphogenetically architected complex systems (MACS). While taking the emergence of properties seriously, the notion of MACS enables at the same time the design (or “meta-design”) of operational means that allow controlling and even, paradoxically, programming this emergence. To demonstrate our claim, we first show that among all the self-organized systems studied (...)
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  12.  28
    On the linguistic import of catastrophe theory.Jean Petitot - 1989 - Semiotica 74 (3-4):179-210.
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  13.  35
    Philosophie transcendantale et objectivité physique.Jean Petitot - 1997 - Philosophiques 24 (2):367-388.
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  14.  9
    Physique du sens: de la théorie des singularités aux structures sémio-narratives.Jean Petitot - 1992 - Paris: Centre National de la Recherche Scientifique, CNRS.
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  15. Neurogeometry of v1 and Kanizsa contours.Jean Petitot - 2003 - Axiomathes 13 (3-4):347-363.
    We present a neuro-geometrical model for generating the shape of Kanizsa's modal subjective contours which is based on the functional architecture of the primary areas of the visual cortex. We focus on V1 and its pinwheel structure and model it as a discrete approximation of a continuous fibration π: R × P → P with base space the space of the retina R and fiber the projective line P of the orientations of the plane. The horizontal cortico-cortical connections of V1 (...)
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  16. CONSTITUTING OBJECTIVITY The Western Ontario Series in Philosophy of Science.Michel Bitbol, Jean Petitot & Pierre Kerszberg (eds.) - 2009
     
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  17.  22
    Francisco Varela : Le Cercle créateur.Michel Bitbol & Jean Petitot - 2018 - Revue de Synthèse 139 (3-4):411-417.
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  18.  12
    Choix et croyance: vers une logique de l’idéal.Jean Petitot - 1983 - In Herman Parret (ed.), On Believing. De la Croyance. Epistemological and Semiotic Approaches. De Gruyter. pp. 237-266.
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  19.  56
    Dynamical modeling and morphological analysis.Jean Petitot - 1998 - Behavioral and Brain Sciences 21 (5):649-649.
    After a historical sketch of the dynamical hypothesis, we stress that it is a functionalist hypothesis. We then tackle the point of a dynamical approach to constituent structures and emphasize that dynamical modeling must be coupled with morphological analysis.
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  20.  26
    La naturalizzazione della fenomenologia: storia di un progetto.Jean Petitot - 2008 - Rivista di Estetica 37:141-146.
    Nel 1982, Francisco Varela è stato membro fondatore del crea, il centro di ricerca sull’epistemologia applicata di cui sono ora direttore. Era appena giunto in Francia dopo aver rifiutato un incarico negli Stati uniti perché il governo statunitense gli era parso responsabile della grave crisi politica che aveva colpito il suo paese negli anni seguenti il golpe di Pinochet, costringendolo ad abbandonare il Cile. Jean-Pierre Dupuy, colui che istituì il crea, lo chiamò a Parigi dove Varela colla...
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  21.  11
    Localist theory morphodynamic models, and cognitive science-comments on a 1975 study.Jean Petitot - 1989 - Semiotica 77 (1-3):65-119.
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  22.  9
    (1 other version)Présentation.Jean Petitot - 1990 - Revue de Synthèse 111 (1-2):3-12.
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  23. Phénoménologie des formes et sciences du sens commun.Jean Petitot - 2013 - In Jaakko Hintikka (ed.), Open problems in epistemology =. Helsinki: The Philosophical Society of Finland.
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  24.  7
    Science et philosophie en France et en Italie entre les deux guerres.Jean Petitot & Luca M. Scarantino (eds.) - 2001 - Napoli: Vivarium.
    Le rationalisme italien est une figure majeure de la pensée du 20e siècle, non seulement en Italie mais également en France. Pour bien comprendre ce courant de pensée, il faut voir le rationalisme comme une tentative double, touchant à la fois la science et la philosophie. D’une part, le rationalisme tente de saisir la dimension culturelle de la science, d’autres part, il vise à élaborer une conception nouvelle, plus ouverte, de la raison philosophique. L’ouvrage s’intéresse également à l’influence exercée par (...)
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  25.  20
    The problems of cognitive dynamical models.Jean Petitot - 1995 - Behavioral and Brain Sciences 18 (4):640-640.
    Amit's “Attractor Neural Network” perspective on cognition raises difficult technical problems already met by prior dynamical models. This commentary sketches briefly some of them concerning the internal topological structure of attractors, the constituency problem, the possibility of activating simultaneously several attractors, and the different kinds of dynamical structures one can use to model brain activity: point attractors, strange attractors, synchronized arrays of oscillators, synfire chains, and so forth.
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