The article develops and justifies, on the basis of the epistemological argumentation theory, two central pieces of the theory of evaluative argumentation interpretation: 1. criteria for recognizing argument types and 2. rules for adding reasons to create ideal arguments. Ad 1: The criteria for identifying argument types are a selection of essential elements from the definitions of the respective argument types. Ad 2: After presenting the general principles for adding reasons (benevolence, authenticity, immanence, optimization), heuristics are proposed for finding missing (...) reasons, for deductive arguments, e.g., semantic tableaux are suggested. (shrink)

ABSTRACTEpstein compares models of group agents that focus on their internal organization to models that focus on the statuses they have. He argues that status models are inadequate because agency is not something that can be attributed by fiat. Even if this is true, however, certain agential powers can be attributed to group agents. I argue that Epstein’s arguments stand to benefit a lot from recognizing that some group agents have statuses and constitute corporate agents. For instance, only corporate agents (...) can exist without having members. (shrink)

Rousseau’s project in his Social Contract was to construct a conception of human subjectivity and political institutions that would transcend what he saw to be the limits of liberal political theory of his time. I take this as a starting point to put forward an interpretation of his theory of the general will as a kind of social cognition that is able to preserve individual autonomy and freedom alongside concerns with the collective welfare of the community. But whereas many have (...) seen Rousseau’s ideas as a prelude to communitarianism or authoritarianism, we should instead see his project as articulating an alternative model of moral-cognitivist reasoning. In order to provide a framework for this interpretation, I propose reading his conception of the general will through the theory of collective intentionality and social ontology. I end with a consideration of how this interpretation of the general will can provide a more satisfying understanding of political and practical rationality contemporary debates over republicanism and liberalism. (shrink)

Dewey’s social ontology could be characterized as a habit ontology, an ontology of habit qua second nature that offers us an account of intentionality, social statuses, institutions, and norms in terms of habituations. Such an account offers us a promising alternative to contemporary intentionalist and deontic approaches to social ontology such as Searle’s. Furthermore, it could be the basis of a social ontology better suited to explain both the maintenance and the transformation of social reality. In the first part I (...) will characterize Dewey’s model as a social ontology based on the notion of habit, and present it as an alternative to intentionalist approaches to social reality. In the second part I will argue that habit ontology offers us an account of social norms that is based on a peculiar understanding of the notion of ‘status’, and represents an alternative to deontic accounts. In the third part I will claim that Dewey’s notion of “public” offers us a dynamic understanding of social institutions and a ‘reactive’ notion of collective intentionality as an achievement rather than as a presupposition of social practices. In the final section I will summarize some advantages of the Deweyan over the Searlean social ontology concerning our understanding of acceptance, maintenance and transformation of statuses, and of the role played by the ‘background’. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the nature (...) of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

Donald Davidson and John Searle famously differ, among other things, on the issue of animal thoughts. Davidson seems to be a latter-day Cartesian, denying any propositional thought to subhuman animals, while Searle seems to follow Hume in claiming that if we have thoughts, then animals do, too. Davidson’s argument centers on the idea that language is necessary for thought, which Searle rejects. The paper argues two things. Firstly, Searle eventually argues that much of a more complex thought does depend on (...) language, which reduces a distance between himself and Davidson. Secondly, some of Davidson’s suggestions are promising – in particular the idea that we may lack a vocabulary to capture the contents of animal thoughts. Based on this insight, one might, pace Davidson, grant thoughts to animals. However, this does not mean, pace Searle, that it should be possible to construe even the simplest of such thoughts as propositional. Perhaps we need to move beyond Davidson and Searle by developing a theory of nonpropositional thought for animals. (shrink)

In an effort to carve a distinct place for social facts without lapsing into a holistic ontology, John Greenwood has sought to define social phenomena solely in terms of the attitudes held by the actor in question. I argue that his proposal allows for the possibility of a “lone collectivity” that is unpalatable in its own right and incompatible with the claim that sociology is autonomous from psychology. As such, I conclude that the relevant beliefs need to be held by (...) more than one person. (shrink)

In the context of calls for "postpositivist" sociology, realism has emerged as a powerful and compelling epistemology for social science. In transferring and transforming scientific realism --a philosophy of natural science--into a justificatory discourse for social science, realism splits into two parts: a strict, highly naturalistic realism and a reflexive, more mediated, and critical realism. Both forms of realism, however, suffer from conceptual ambiguities, omissions, and elisions that make them an inappropriate epistemology for social science. Examination of these problems in (...) detail reveals how a different perspective--centered on the interpretation of meaning--could provide a better justification for social inquiry, and in particular a better understanding of sociological theory and the construction of sociological explanations. (shrink)

This article presents a new proposal for understanding the establishment and maintenance of cooperation: the cooperation afforder with framing hypothesis, producing what can be called cooperation from afforder-framing . Three key moves are present. First, a special variety of the Stag Hunt game, the Cooperation Afforder game, will reliably produce mutualistic cooperation through an evolutionary process. Second, cognitive framing is a credible candidate mechanism to meet the special conditions and requirements of the Cooperation Afforder game. Third, once mutualistic cooperation is (...) established in this way, it will plausibly lead to broader forms of cooperation, even to limited forms of altruism. (shrink)

En este artículo se sostiene que no hay una jerarquía dada y preestablecida entre los múltiples saberes del conocimiento humano, sino una construcción variada y cambiante de los mismos, lo cual se refleja en el modo en que disciplinas como la economía, la sociología, la ciencia política o el derecho han construido formas propias y específicas de ver la realidad, a tal punto que es posible hablar de una construcción económica de la realidad o, en forma paralela, de su construcción (...) social, política o jurídica. Ello conduce a la idea de interdisciplinariedad horizontal, en la medida en que todo nicho disciplinar construye conocimiento a la vez que extiende puentes de relacionamiento con múltiples y novedosas fronteras del saber. (shrink)

In this paper, I provide the framework for an account of group assertion. On my view, there are two kinds of group assertion, coordinated and authority-based, with authority-based group assertion being the core notion. I argue against a deflationary view, according to which a group’s asserting is understood in terms of individual assertions, by showing that a group can assert a proposition even when no individual does. Instead, I argue on behalf of an inflationary view, according to which it is (...) the group itself that asserts, a conclusion supported by the fact that paradigmatic features of assertion apply only at the level of the group. A central virtue of my account is that it appreciates the important relationship that exists between most groups and their spokespersons, as well as the consequences that follow from this relationship. My view, thus, provides the framework for distinguishing when responsibility for an assertion lies at the collective level, and when it should be shouldered by an individual simply speaking for herself. (shrink)

Contemporary political theory is fractured in its account of ontology and methods. One prominent fault line is between empirical and normative theory – the former usually called ‘philosophy of social science’, or ‘social-science methodology’, and not ‘theory’ at all. A second fault line exists between analytical and post-modern political theory. These fractures prevent political researchers who engage with the same substantive issues, such as the right of same-sex couples to marry, from speaking to one another in a common language. This (...) paper's first section discusses the history of the fact-value divide in political studies: a history that led to the contemporary state of the discipline. The second section argues that Searle's philosophy provides tools that can bridge this divide. The third section raises normative objections that limit the extent to which one can accept Searle's theory as a fully general account of social and political reality. Although limited in scope, Searle's argument should be welcomed as an attempt to provide a common set of important tools for political researchers on all sides of these debates. (shrink)

Let it be a network of voices... A network of voices that not only speak, but also struggle and resist for humanity.

This paper examines how Hayden White and specifically Frank Ankersmit have attempted to develop the representationalist account of historiography. It is notable that both reject the copy theory of representation, but nevertheless commit to the idea that historiography produces representations. I argue that it would have been more advantageous to go yet one step further and reject representationalist language altogether on the level of narratives, as this implies that one is re-presenting a given object in one’s language in some sense. (...) Narratives and other synthesizing expressions, such as colligatory notions, do not have such objects or references in the past itself, and therefore, it would be more appropriate to talk about constructed ‘presentations.’ In the end, I outline a non-representationalist alternative, according to which historiography is a form of discursive and argumentative practice. (shrink)

cal practice: the enterprise of specifying information about the world for use in computer systems. Knowledge representation as a field also encompasses conceptual results that call practitioners’ attention to important truths about the world, mathematical results that allow practitioners to make these truths precise, and computational results that put these truths to work. This chapter surveys this practice and its results, as it applies to the interpretation of natural language utterances in implemented natural language processing systems. For a broader perspective (...) on such technical practice, in all its strengths and weaknesses, see (Agre 1997). Knowledge representation offers a powerful general tool for the science of language. Computational logic, a prototypical formalism for representing knowledge about the world, is also the model for the level of logical form that linguists use to characterize the grammar of meaning (Larson and Segal 1995). And researchers from (Schank and Abelson 1977) to (Shieber 1993) and (Bos to appear) have relied crucially on such representations, and the inference methods associated with them, in articulating accounts of semantic relations in language, such as synonymy, entailment, informativeness and contradiction. The new textbooks (Blackburn and Bos 2002a, Blackburn and Bos 2002b) provide an excellent grounding in this research, and demonstrate how deeply computational ideas from knowledge representation can inform pure linguistic study. In this short chapter, I must leave much of.. (shrink)

Critics of the Implicit Association Test —a measure of the strength of a person’s automatic, memory-based association between two concepts, such as “black” and “threatening” or “white” and “caring”—have at least three main objections. Their symmetry argument is that the IAT should but does not give equally valid results for black-on-white and white-on-black racism. Their cultural-awareness argument is that the IAT illegitimately presupposes that use of racial stereotypes presupposes no stereotype acceptance, only stereotype awareness. Their completeness argument is that at (...) best the IAT measures only questionable or implicit, not explicit, bias because IAT ignores the fact that subjects’ conscious desires to avoid bias often enable them to check their biased behavior. Examining each of these anti-IAT stances, the paper summarizes the IAT and then argues for 6 main claims. Clarifying concepts like racism is important for progress in social science. IAT critics’ SA presupposes an ahistorical/acultural concept of racism. IAT critics’ AA presupposes a linguistically-insensitive concept of racism, one presupposing that the language we use provides no behavioral evidence for racism. IAT critics’ CA presupposes a concept of racism subject to conscious, deliberate control. IAT proponents endorse a more plausible concept of racism, one that is contextual, linguistically sensitive, and often not susceptible to conscious control. Although the IAT debate is unsettled, IAT critics’ use of a questionable concept of racism gives grounds for doubting their claims. (shrink)