Matching Items (4)
Filtering by
- All Subjects: developmental evolution
- All Subjects: metaphysics
- Creators: Creath, Richard
- Creators: Armendt, Brad
Description
This thesis explores the conceptual span and plausibility of emergence and its applicability to the problem of mental causation. The early parts of the project explicate a distinction between weak and strong emergence as described by Jaegwon Kim. They also consider Kim's objections regarding the conceptual incoherence of strong emergence and the otiose nature of weak emergence. The paper then explores Mark Bedau's in-between conception of emergence and ultimately finds that middle conception to be both coherent and useful. With these three emergence distinctions in hand, the thesis goes on to explore Evan Thompson's recent work - Mind in Life (2010). In that work, Thompson advances a strong emergence approach to mind, whereby he concludes the incipient stages of cognition are found at the most basic levels of life, namely - biologic cells. Along the way, Thompson embraces holism and a nonfundamental
onhierarchical physics in order to counter Jaegwon Kim's objections to the notion of downward causation needed for strong emergence. The thesis presents arguments against Thompson's holism and nonfundamental physics, while supporting his assertion regarding the incipient stages of cognition. It then combines an important distinction between mental causation and the experience of mental causation with Thompson's notion of incipient cognition to arrive at a dual realms approach to understanding mental causation.
onhierarchical physics in order to counter Jaegwon Kim's objections to the notion of downward causation needed for strong emergence. The thesis presents arguments against Thompson's holism and nonfundamental physics, while supporting his assertion regarding the incipient stages of cognition. It then combines an important distinction between mental causation and the experience of mental causation with Thompson's notion of incipient cognition to arrive at a dual realms approach to understanding mental causation.
ContributorsFournier, Thomas (Author) / Kobes, Bernard W (Thesis advisor) / Reynolds, Steven L (Committee member) / Armendt, Brad (Committee member) / Arizona State University (Publisher)
Created2013
Description
This thesis is concerned with the methodological role of intuitions in metaphysics. It is divided into two main parts. Part I argues that an academic field can only employ a method of gathering evidence if it has established some agreed-upon standards regarding how to evaluate uses of this method. Existing meta-philosophical disputes take the nature of intuitions to be their starting point. This is a mistake. My concern is not the epistemic status of intuitions, but rather how metaphysicians appeal to intuitions as a form of evidence. In order for intuitions to play a viable role in research they must be subject to certain constraints, regardless of whether they allow individual researchers to know that their theories are true. Metaphysicians are not permitted to use intuitions as arbitrarily having different evidential status in different circumstances, nor should they continue to use intuitions as evidence in certain disputes when there is disagreement amongst disputants about whether intuitions should have this evidential status.
Part II is dedicated to showing that metaphysicians currently use intuitions in precisely the sort of inconsistent manner that was shown to be impermissible in Part I. I first consider several competing theories of how intuitions function as evidence and argue that they all fail. As they are currently used in metaphysics, intuitions are analogous to instruments in the sciences in that they are taken to be a substantial non-inferential source of evidence for theories. I then analyze several major metaphysical disputes and show that the source of controversy in these disputes boils down to inconsistencies in how the different parties treat intuitions as evidence. I conclude that metaphysicians must abandon appeals to intuition as evidence--at least until the field can agree upon some general standards that can resolve these inconsistencies.
Part II is dedicated to showing that metaphysicians currently use intuitions in precisely the sort of inconsistent manner that was shown to be impermissible in Part I. I first consider several competing theories of how intuitions function as evidence and argue that they all fail. As they are currently used in metaphysics, intuitions are analogous to instruments in the sciences in that they are taken to be a substantial non-inferential source of evidence for theories. I then analyze several major metaphysical disputes and show that the source of controversy in these disputes boils down to inconsistencies in how the different parties treat intuitions as evidence. I conclude that metaphysicians must abandon appeals to intuition as evidence--at least until the field can agree upon some general standards that can resolve these inconsistencies.
ContributorsMusgrave, Shea (Author) / Creath, Richard (Thesis advisor) / Pinillos, Nestor A. (Committee member) / Kobes, Bernard W. (Committee member) / Arizona State University (Publisher)
Created2014
Description
A central task for historians and philosophers of science is to characterize and analyze the epistemic practices in a given science. The epistemic practice of a science includes its explanatory goals as well as the methods used to achieve these goals. This dissertation addresses the epistemic practices in gene expression research spanning the mid-twentieth century to the twenty-first century. The critical evaluation of the standard historical narratives of the molecular life sciences clarifies certain philosophical problems with respect to reduction, emergence, and representation, and offers new ways with which to think about the development of scientific research and the nature of scientific change.
The first chapter revisits some of the key experiments that contributed to the development of the repression model of genetic regulation in the lac operon and concludes that the early research on gene expression and genetic regulation depict an iterative and integrative process, which was neither reductionist nor holist. In doing so, it challenges a common application of a conceptual framework in the history of biology and offers an alternative framework. The second chapter argues that the concept of emergence in the history and philosophy of biology is too ambiguous to account for the current research in post-genomic molecular biology and it is often erroneously used to argue against some reductionist theses. The third chapter investigates the use of network representations of gene expression in developmental evolution research and takes up some of the conceptual and methodological problems it has generated. The concluding comments present potential avenues for future research arising from each substantial chapter.
In sum, this dissertation argues that the epistemic practices of gene expression research are an iterative and integrative process, which produces theoretical representations of the complex interactions in gene expression as networks. Moreover, conceptualizing these interactions as networks constrains empirical research strategies by the limited number of ways in which gene expression can be controlled through general rules of network interactions. Making these strategies explicit helps to clarify how they can explain the dynamic and adaptive features of genomes.
The first chapter revisits some of the key experiments that contributed to the development of the repression model of genetic regulation in the lac operon and concludes that the early research on gene expression and genetic regulation depict an iterative and integrative process, which was neither reductionist nor holist. In doing so, it challenges a common application of a conceptual framework in the history of biology and offers an alternative framework. The second chapter argues that the concept of emergence in the history and philosophy of biology is too ambiguous to account for the current research in post-genomic molecular biology and it is often erroneously used to argue against some reductionist theses. The third chapter investigates the use of network representations of gene expression in developmental evolution research and takes up some of the conceptual and methodological problems it has generated. The concluding comments present potential avenues for future research arising from each substantial chapter.
In sum, this dissertation argues that the epistemic practices of gene expression research are an iterative and integrative process, which produces theoretical representations of the complex interactions in gene expression as networks. Moreover, conceptualizing these interactions as networks constrains empirical research strategies by the limited number of ways in which gene expression can be controlled through general rules of network interactions. Making these strategies explicit helps to clarify how they can explain the dynamic and adaptive features of genomes.
ContributorsRacine, Valerie (Author) / Maienschein, Jane (Thesis advisor) / Laubichler, Manfred D (Thesis advisor) / Creath, Richard (Committee member) / Newfeld, Stuart (Committee member) / Morange, Michel (Committee member) / Arizona State University (Publisher)
Created2016
Description
At the interface of developmental biology and evolutionary biology, the very
criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena.
How do those researchers deploy those two kinds of models so that they are consistent and compatible with each other? To address that question, this dissertation closely examines, dissects, and compares two recent research projects in which researchers jointly use the two kinds of models. To identify, select, reconstruct, describe, and compare those cases, I use methods from the empirical social sciences, such as digital corpus analysis, content analysis, and structured case analysis.
From those analyses, I infer three primary conclusions about projects of the kind studied. First, they employ an implicit concept of gene that enables the joint use of both kinds of models. Second, they pursue more epistemic aims besides mechanistic explanation of phenomena. Third, they don’t work to create and export broad synthesized theories. Rather, they focus on phenomena too complex to be understood by a common general theory, they distinguish parts of the phenomena, and they apply models from different theories to the different parts. For such projects, seemingly incompatible models are synthesized largely through mediated representations of complex phenomena.
The dissertation closes by proposing how developmental evolution, a field traditionally focused on macroevolution, might fruitfully expand its research agenda to include projects that study microevolution.
criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena.
How do those researchers deploy those two kinds of models so that they are consistent and compatible with each other? To address that question, this dissertation closely examines, dissects, and compares two recent research projects in which researchers jointly use the two kinds of models. To identify, select, reconstruct, describe, and compare those cases, I use methods from the empirical social sciences, such as digital corpus analysis, content analysis, and structured case analysis.
From those analyses, I infer three primary conclusions about projects of the kind studied. First, they employ an implicit concept of gene that enables the joint use of both kinds of models. Second, they pursue more epistemic aims besides mechanistic explanation of phenomena. Third, they don’t work to create and export broad synthesized theories. Rather, they focus on phenomena too complex to be understood by a common general theory, they distinguish parts of the phenomena, and they apply models from different theories to the different parts. For such projects, seemingly incompatible models are synthesized largely through mediated representations of complex phenomena.
The dissertation closes by proposing how developmental evolution, a field traditionally focused on macroevolution, might fruitfully expand its research agenda to include projects that study microevolution.
ContributorsElliott, Steve (Author) / Creath, Richard (Thesis advisor) / Laubichler, Manfred D. (Thesis advisor) / Armendt, Brad (Committee member) / Forber, Patrick (Committee member) / Pratt, Stephen (Committee member) / Arizona State University (Publisher)
Created2017