2009
DOI: 10.1007/s10441-009-9072-2
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Rational Disagreements in Phylogenetics

Abstract: This paper addresses the general problem of how to rationally choose an algorithm for phylogenetic inference. Specifically, the controversy between maximum likelihood (ML) and maximum parsimony (MP) perspectives is reframed within the philosophical issue of theory choice. A Kuhnian approach in which rationality is bounded and value-laden is offered and construed through the notion of a Style of Modeling. A Style is divided into four stages: collecting remnant models, constructing models of taxonomical identity… Show more

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Cited by 4 publications
(2 citation statements)
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“…There was also incongruence between the results of different phylogenetic inference methods. There has been a long-standing debate whether parsimony or model based methods (ML and BI) perform better without general agreement (Sober, 2004;Yang, 2006;Mc Manus, 2009). The fact that MP analysis of data sets including only the more conservative first and second codon positions resulted in the same topology as the BI and ML trees supports this being the correct topology.…”
Section: Phylogenymentioning
confidence: 99%
“…There was also incongruence between the results of different phylogenetic inference methods. There has been a long-standing debate whether parsimony or model based methods (ML and BI) perform better without general agreement (Sober, 2004;Yang, 2006;Mc Manus, 2009). The fact that MP analysis of data sets including only the more conservative first and second codon positions resulted in the same topology as the BI and ML trees supports this being the correct topology.…”
Section: Phylogenymentioning
confidence: 99%
“…In other words, what these explanations have in common is the idea that sexuality corresponds to a family of traits in which sexual orientation can be conceived as a particular trait homologous among different animals and with different character states that correspond to what we in the West call "homosexuality", "heterosexuality" and "bisexuality" (this corresponds to what I have labeled as models of taxonomic identity [Mc Manus, 2009]).…”
Section: F MC Manusmentioning
confidence: 99%