Matching Items (17)
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This dissertation consists of three essays, each of which closely relates to epistemic norms for rational doxastic states. The central issue is whether epistemic rationality is impermissive or not: For any total evidence E, is there a unique doxastic state that any possible agent with that total evidence E should

This dissertation consists of three essays, each of which closely relates to epistemic norms for rational doxastic states. The central issue is whether epistemic rationality is impermissive or not: For any total evidence E, is there a unique doxastic state that any possible agent with that total evidence E should take (Uniqueness), or not (Permissivism)?

“Conservatism and Uniqueness”: Conservatism is the idea that an agent’s beliefs should be stable as far as possible when she undergoes a learning experience. Uniqueness is the idea that any given body of total evidence uniquely determines what it is rational to believe. Epistemic Impartiality is the idea that you should not give special treatment to your beliefs solely because they are yours. I construe Epistemic Impartiality as a meta-principle governing epistemic norms, and argue that it is compatible with Conservatism. Then I show that if Epistemic Impartiality is correct, Conservatism and Uniqueness go together; each implies the other.

“Cognitive Decision Theory and Permissive Rationality”: In recent epistemology, philosophers have deployed a decision theoretic approach to justify various epistemic norms. A family of such accounts is known as Cognitive Decision Theory. According to Cognitive Decision Theory, rational beliefs are those with maximum expected epistemic value. How does Cognitive Decision Theory relate to the debate over permissive rationality? As one way of addressing this question, I present and assess an argument against Cognitive Decision Theory.

“Steadfastness, Deference, and Permissive Rationality”: Recently, Benjamin Levinstein has offered two interesting arguments concerning epistemic norms and epistemic peer disagreement. In his first argument, Levinstein claims that a tension between Permissivism and steadfast attitudes in the face of epistemic peer disagreement generally leads us to conciliatory attitudes; in his second argument, he argues that, given an ‘extremely weak version of a deference principle,’ Permissivism collapses into Uniqueness. However, in this chapter, I show that both arguments fail. This result supports the following claim: we should treat steadfast attitudes and at least some versions of a deference principle as viable positions in the discussion about several types of Permissivism, because they are compatible with any type of Permissivism.
ContributorsJung, Jaemin (Author) / Armendt, Brad (Thesis advisor) / Portmore, Douglas W. (Committee member) / Pinillos, Angel (Committee member) / Arizona State University (Publisher)
Created2016
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This Thesis contends that if the designer of a non-biological machine (android) can establish that the machine exhibits certain specified behaviors or characteristics, then there is no principled reason to deny that the machine can be considered a legal person. The thesis also states that given a related but not

This Thesis contends that if the designer of a non-biological machine (android) can establish that the machine exhibits certain specified behaviors or characteristics, then there is no principled reason to deny that the machine can be considered a legal person. The thesis also states that given a related but not necessarily identical set of characteristics, there is no principled reason to deny that the non-biological machine can make a claim to a level of moral personhood. It is the purpose of my analysis to delineate some of the specified behaviors required for each of these conditions so as to provide guidance and understanding to designers seeking to establish criteria for creation of such machines. Implicit in the stated thesis are assumptions concerning what is meant by a non-biological machine. I use analytic functionalism as a mechanism to establish a framework within which to operate. In order to develop this framework it is necessary to provide an analysis of what currently constitutes the attributes of a legal person, and to likewise examine what are the roots of the claim to moral personhood. This analysis consists of a treatment of the concept of legal personhood starting with the Greek and Roman views and tracing the line of development through the modern era. This examination then explores at a more abstract level what it means to be a person. Next, I examine law's role as a normative system, placing it within the context of the previous discussions. Then, criteria such as autonomy and intentionality are discussed in detail and are related to the over all analysis of the thesis. Following this, moral personhood is examined using the animal rights movement of the last thirty years as an argument by analogy to the question posed by the thesis. Finally, all of the above concepts are combined in a way that will provide a basis for analyzing and testing future assertions that a non-biological entity has a plausible claim for legal or moral personhood. If such an entity exhibits the type of intentionality and autonomy which humans view as the foundation of practical reason, in combination with other indicia of sentience described by "folk psychology", analytic functionalism suggests that there is no principled reason to deny the android's claim to rights.
ContributorsCalverley, David J (Author) / Armendt, Brad (Thesis advisor) / McGregor, Joan (Committee member) / Askland, Andrew (Committee member) / Arizona State University (Publisher)
Created2011
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Modern computers interact with the external environment in complex ways — for instance, they interact with human users via keyboards, mouses, monitors, etc., and with other computers via networking. Existing models of computation — Turing machines, λ-calculus functions, etc. — cannot model these behaviors completely. Some additional conceptual apparatus is

Modern computers interact with the external environment in complex ways — for instance, they interact with human users via keyboards, mouses, monitors, etc., and with other computers via networking. Existing models of computation — Turing machines, λ-calculus functions, etc. — cannot model these behaviors completely. Some additional conceptual apparatus is required in order to model processes of interactive computation.
ContributorsThomas, Nicholas Woodlief (Author) / Armendt, Brad (Thesis director) / Kobes, Bernard (Committee member) / Blackson, Thomas (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor)
Created2013-05
Description
There is no doubt that inductive logic and inductive arguments are vital to the formation of scientific theories. This thesis questions the use of inductive inferences within the sciences. Specifically, it will examine various perspectives on David Hume's famed "problem of induction". Hume proposes that inductive inferences cannot be logically

There is no doubt that inductive logic and inductive arguments are vital to the formation of scientific theories. This thesis questions the use of inductive inferences within the sciences. Specifically, it will examine various perspectives on David Hume's famed "problem of induction". Hume proposes that inductive inferences cannot be logically justified. Here we will explore several assessments of Hume's ideas and inductive logic in general. We will examine the views of philosophers and logicians: Karl Popper, Nelson Goodman, Larry Laudan, and Wesley Salmon. By comparing the radically different views of these philosophers it is possible to gain insight into the complex nature of making inductive inferences. First, Popper agrees with Hume that inductive inferences can never be logically justified. He maintains that the only way around the problem of induction is to rid science of inductive logic altogether. Goodman, on the other hand, believes induction can be justified in much the same way as deduction is justified. Goodman sets up a logical schema in which the rules of induction justify the particular inductive inferences. These general rules are then in turn justified by correct inferences. In this way, Goodman sets up an explication of inductive logic. Laudan and Salmon go on to provide more specific details about how the particular rules of induction should be constructed. Though both Laudan and Salmon are completing the logic schema of Goodman, their approaches are quite different. Laudan takes a more qualitative approach while Salmon uses the quantitative rules of probability to explicate induction. In the end, it can be concluded that it seems quite possible to justify inductive inferences, though there may be more than one possible set of rules of induction.
ContributorsFeddern, James William Edward (Author) / Creath, Richard (Thesis director) / Armendt, Brad (Committee member) / Department of Physics (Contributor) / Department of Military Science (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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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

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.
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
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The paper reviews some of the models of consequentialist justice, the nature of social contracts, and the social coordination of behaviors through social norms.

The challenge with actualizing justice in many contemporary societies is the broad and often conflicting individual beliefs on rights and responsibilities that each member of

The paper reviews some of the models of consequentialist justice, the nature of social contracts, and the social coordination of behaviors through social norms.

The challenge with actualizing justice in many contemporary societies is the broad and often conflicting individual beliefs on rights and responsibilities that each member of a society maintains to describe the opportunities and compensations they attribute to themselves and others. This obscurity is compounded through a lack of academic or political alignment on the definition and tenets of justice.

The result of the deficiency of commonality of the definition and tenants of justice often result in myopic decisions by individuals and discontinuity within a society that reduce the available rights, obligations, opportunities, and/or compensations that could be available through alternative modalities.

The paper begins by assessing the challenge of establishing mutual trust in order to achieve cooperation. I then examine utility enhancement strategies available through cooperation. Next, I turn to models that describe natural and artificial sources of social contacts, game theory, and evolutionary fitness to produce beneficial results. I then examine social norms, including the dual inheritance theory, as models which can selectively reinforce certain cooperative behaviors and reduce others. In conclusion, a possible connection among these models to improve the overall fitness of society as defined by the net average increase in available utility, rights, opportunities, and compensations is offered.

Through an examination of concepts that inform individual choice and coordination with others, concepts within social coordination, the nature of social contracts, and consequentialist justice to coordinate behaviors through social norms may illustrate an integrated perspective and, through additional examination, produce a comprehensive model to describe how societies could identify and foster just human coordination.
ContributorsHerro, C. R (Author) / Armendt, Brad (Thesis advisor) / McGregor, Joan (Committee member) / DesRoches, Tyler (Committee member) / Arizona State University (Publisher)
Created2019
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For the past half-century, both jurisprudence and epistemology have been haunted by questions about why individual evidence (i.e., evidence which picks out a specific individual) can sufficiently justify a guilty or liable verdict while bare statistical evidence (i.e., statistical evidence which does not pick out a specific individual) does not

For the past half-century, both jurisprudence and epistemology have been haunted by questions about why individual evidence (i.e., evidence which picks out a specific individual) can sufficiently justify a guilty or liable verdict while bare statistical evidence (i.e., statistical evidence which does not pick out a specific individual) does not sufficiently justify such a verdict. This thesis examines three popular justifications for such a disparity in verdicts – Judith Jarvis Thomson’s causal account, Enoch et al.’s sensitivity account, and Sarah Moss’ knowledge-first account, before critiquing each in turn. After such an analysis, the thesis then defends the claim that legal verdicts require the factfinder (e.g., the judge or jury) to have a justified de re belief (i.e., a belief about a specific object – namely the defendant), and that this doxastic requirement justifies the disparity in rulings, as it is epistemically insufficient to justify a de re belief based on bare statistical evidence alone. A brief account of how these beliefs are formed and spread is also given. After making such a distinction, the thesis then formalizes the burdens of proof of the preponderance of the evidence and beyond a reasonable doubt using the de re/de dicto distinction. Finally, the thesis pre-empts possible objections, namely by providing an account of DNA evidence as individual evidence and giving an account of how false convictions can occur on the de re view of legal proof.
ContributorsThomas, Samuel (Author) / di Bello, Marcello (Thesis advisor) / Armendt, Brad (Committee member) / Pinillos, Nestor (Committee member) / Arizona State University (Publisher)
Created2021