Génétique des populations et mécanique statistique : stratégie explicative et analogie formelle

Auteurs

  • Laurent Jodoin Université de Montréal / Université de Paris 1, Panthéon-Sorbonne Canada

DOI :

https://doi.org/10.20416/lsrsps.v1i1.13

Résumé

La relation entre mécanique statistique et génétique des populations a une longue histoire. À l’instar de la première, la seconde tire profit des statistiques afin de traiter le comportement des grands ensembles d’entités. L’objectif principal du présent article est d’identifier les obstacles que rencontre la génétique des populations dans sa prétention d’explication des phénomènes biologiques à partir de l’appareillage conceptuel de la mécanique statistique selon deux articles récents (Sella & Hirsh 2005 ; Barton & Coe 2009). Or, plusieurs outils dont dispose cette dernière (thermodynamique phénoménologique, notion d’équilibre thermique, conservation de l’énergie) manque à la première. Ainsi, en l’absence d’une justification adéquate de la pertinence de l’analogie et sans la satisfaction de certaines hypothèses fondamentales, je soutiens que la stratégie explicative du modèle analogue est sérieusement compromise.

Biographie de l'auteur

Laurent Jodoin, Université de Montréal / Université de Paris 1, Panthéon-Sorbonne Canada

Laurent Jodoin termine une thèse de doctorat en cotutelle entre l’Université de Montréal et l’Université de Paris-Sorbonne (IHPST). Il s’intéresse particulièrement à l’analyse conceptuelle de l’émergence, de la causalité mais surtout de l’entropie, de sa définition et de son interprétation en physique de même sa récupération en biologie. Il a publié dans emIthaque/em, emPhilosophiques/em et emLato sensu/em. Il enseigne actuellement à l’École Polytechnique Montréal et à l’Université de Montréal.

 

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Publiée

2014-07-01

Comment citer

Jodoin, Laurent. 2014. « Génétique Des Populations Et mécanique Statistique : Stratégie Explicative Et Analogie Formelle ». Lato Sensu: Revue De La Société De Philosophie Des Sciences 1 (1). https://doi.org/10.20416/lsrsps.v1i1.13.

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