In his chapter in this volume, Christopher Pincock develops an argument for scientific realism based on scientific understanding, and he argues that Giere’s (2006) and my (2017, 2020) commitment to the context-dependence of scientific understanding or knowledge renders our views unable to account for an essential step in how scientists come to know. Meanwhile, in my chapter in this volume, I motivate a view that I call "causal pattern realism." In this response to Pincock's chapter, I will sketch a revised (...) version of Pincock’s argument for realism that is consistent with causal pattern realism. Then I will respond to Pincock’s concern that the context-dependence of understanding on my view would interfere with the scientific community’s ability to extrapolate from specific experimental and observational contexts as needed to develop knowledge. My goal is not to convince anyone to be a causal pattern realist but rather to create the space for such a view, taking into account the concerns motivating Pincock. (shrink)

Positing levels of explanation has played an important role in philosophy of science. This facilitated the advocacy of antireductionism of explanations, which, at its most basic, is the idea that scientific explanations citing large (i.e. non-microphysical) entities will persist. The idea that explanations come in levels captures important features of explanatory practices, and it also does well at helping to define different positions one might take regarding explanatory reductionism or antireductionism. Yet the idea that explanations come in levels has also (...) led philosophers astray. This systematically misconstrues the relationship different explanations bear to one another, suggests candidate explanations are less numerous than they in fact are, and occludes recognition of how the selection of explanations can vary across research projects. Antireductionists about explanation should move on from talk of levels. Or so I will argue. (shrink)

There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. With the help of (...) an array of contemporary and historical examples, definitions, visual aids, and exercises for active learning, the textbook helps to increase students’ scientific literacy. The first part of the book covers the definitive features of science: naturalism, experimentation, modeling, and the merits and shortcomings of both activities. The second part covers the main forms of inference in science: deductive, inductive, abductive, probabilistic, statistical, and causal. The book concludes with a discussion of explanation, theorizing and theory-change, and the relationship between science and society. The textbook is designed to be adaptable to a wide variety of different kinds of courses. In any of these different uses, the book helps students better navigate our scientific, 21st-century world, and it lays the foundation for more advanced undergraduate coursework in a wide variety of liberal arts and science courses. Selling Points Helps students develop scientific literacy—an essential aspect of _any_ undergraduate education in the 21 st century, including a broad understanding of scientific reasoning, methods, and concepts Written for all beginning college students: preparing science majors for more focused work in particular science; introducing the humanities’ investigations of science; and helping non-science majors become more sophisticated consumers of scientific information Provides an abundance of both contemporary and historical examples Covers reasoning strategies and norms applicable in all fields of physical, life, and social sciences, _as well as_ strategies and norms distinctive of specific sciences Includes visual aids to clarify and illustrate ideas Provides text boxes with related topics and helpful definitions of key terms, and includes a final Glossary with all key terms Includes Exercises for Active Learning at the end of each chapter, which will ensure full student engagement and mastery of the information include earlier in the chapter Provides annotated ‘For Further Reading’ sections at the end of each chapter, guiding students to the best primary and secondary sources available Offers a Companion Website, with: For Students: direct links to many of the primary sources discussed in the text, student self-check assessments, a bank of exam questions, and ideas for extended out-of-class projects For Instructors: a password-protected Teacher’s Manual, which provides student exam questions with answers, extensive lecture notes, classroom-ready Power Point presentations, and sample syllabi Extensive Curricular Development materials, helping any instructor who needs to create a Scientific Reasoning Course, ex nihilo. (shrink)

There is increasing attention to the centrality of idealization in science. One common view is that models and other idealized representations are important to science, but that they fall short in one or more ways. On this view, there must be an intermediary step between idealized representation and the traditional aims of science, including truth, explanation, and prediction. Here I develop an alternative interpretation of the relationship between idealized representation and the aims of science. In my view, continuing, widespread idealization (...) calls into question the idea that science aims for truth. I argue that understanding must replace truth as the ultimate epistemic aim of science. Additionally, science has a wide variety aims, epistemic and non-epistemic, and these aims motivate different kinds of scientific products. Finally, I show how these diverse aims---all rather distant from truth---result in the expanded influence of social values on science. (shrink)

The concept of hierarchical organization is commonplace in science. Subatomic particles compose atoms, which compose molecules; cells compose tissues, which compose organs, which compose organisms; etc. Hierarchical organization is particularly prominent in ecology, a field of research explicitly arranged around levels of ecological organization. The concept of levels of organization is also central to a variety of debates in philosophy of science. Yet many difficulties plague the concept of discrete hierarchical levels. In this paper, we show how these difficulties undermine (...) various implications ascribed to hierarchical organization, and we suggest the concept of scale as a promising alternative to levels. Investigating causal processes at different scales offers a way to retain a notion of quasi-levels that avoids the difficulties inherent in the classic concept of hierarchical levels of organization. Throughout, our focus is on ecology, but the results generalize to other invocations of hierarchy in science and philosophy of science. (shrink)

In this paper, I first outline the view developed in my recent book on the role of idealization in scientific understanding. I discuss how this view leads to the recognition of a number of kinds of variability among scientific representations, including variability introduced by the many different aims of scientific projects. I then argue that the role of idealization in securing understanding distances understanding from truth, but that this understanding nonetheless gives rise to scientific knowledge. This discussion will clarify how (...) my view relates to three other recent books on understanding by Henk de Regt, Catherine Elgin, and Kareem Khalifa. (shrink)

Causal accounts of scientific explanation are currently broadly accepted (though not universally so). My first task in this paper is to show that, even for a causal approach to explanation, significant features of explanatory practice are not determined by settling how causal facts bear on the phenomenon to be explained. I then develop a broadly causal approach to explanation that accounts for the additional features that I argue an explanation should have. This approach to explanation makes sense of several aspects (...) of actual explanatory practice, including the widespread use of equilibrium explanations, the formulation of distinct explanations for a single event, and the tight relationship between explanations of events and explanations of causal regularities. (shrink)

A common argument against explanatory reductionism is that higher‐level explanations are sometimes or always preferable because they are more general than reductive explanations. Here I challenge two basic assumptions that are needed for that argument to succeed. It cannot be assumed that higher‐level explanations are more general than their lower‐level alternatives or that higher‐level explanations are general in the right way to be explanatory. I suggest a novel form of pluralism regarding levels of explanation, according to which explanations at different (...) levels are preferable in different circumstances because they offer different types of generality, which are appropriate in different circumstances of explanation. (shrink)

Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that capture (...) different, cross-cutting patterns in cognitive phenomena. Which pattern is explanatory depends on both the cognitive phenomenon under investigation and the research interests occasioning the explanation. This reframing changes how we should answer the basic questions of which cognitive science approaches explain and how these explanations relate to one another. On this view, we should expect different approaches to offer independent explanations in terms of their different focal patterns and the value of those explanations to partly derive from the broad patterns they feature. (shrink)

The optimality approach to modeling natural selection has been criticized by many biologists and philosophers of biology. For instance, Lewontin (1979) argues that the optimality approach is a shortcut that will be replaced by models incorporating genetic information, if and when such models become available. In contrast, I think that optimality models have a permanent role in evolutionary study. I base my argument for this claim on what I think it takes to best explain an event. In certain contexts, optimality (...) and game-theoretic models best explain some central types of evolutionary phenomena. ‡Thanks to Michael Friedman, Helen Longino, Michael Weisberg, and especially Elliott Sober for comments on earlier drafts of this paper. †To contact the author, please write to: Department of Philosophy, Stanford University, Stanford, CA 94305-2155; e-mail: potochnik@stanford.edu. (shrink)

The value of optimality modeling has long been a source of contention amongst population biologists. Here I present a view of the optimality approach as at once playing a crucial explanatory role and yet also depending on external sources of confirmation. Optimality models are not alone in facing this tension between their explanatory value and their dependence on other approaches; I suspect that the scenario is quite common in science. This investigation of the optimality approach thus serves as a case (...) study, on the basis of which I suggest that there is a widely felt tension in science between explanatory independence and broad epistemic interdependence, and that this tension influences scientific methodology. (shrink)

Scientific explanations must bear the proper relationship to the world: they must depict what, out in the world, is responsible for the explanandum. But explanations must also bear the proper relationship to their audience: they must be able to create human understanding. With few exceptions, philosophical accounts of explanation either ignore entirely the relationship between explanations and their audience or else demote this consideration to an ancillary role. In contrast, I argue that considering an explanation’s communicative role is crucial to (...) any satisfactory account of explanation. (shrink)

The fate of optimality modeling is typically linked to that of adaptationism: the two are thought to stand or fall together (Gould and Lewontin, Proc Relig Soc Lond 205:581–598, 1979; Orzack and Sober, Am Nat 143(3):361–380, 1994). I argue here that this is mistaken. The debate over adaptationism has tended to focus on one particular use of optimality models, which I refer to here as their strong use. The strong use of an optimality model involves the claim that selection is (...) the only important influence on the evolutionary outcome in question and is thus linked to adaptationism. However, biologists seldom intend this strong use of optimality models. One common alternative that I term the weak use simply involves the claim that an optimality model accurately represents the role of selection in bringing about the outcome. This and other weaker uses of optimality models insulate the optimality approach from criticisms of adaptationism, and they account for the prominence of optimality modeling (broadly construed) in population biology. The centrality of these uses of optimality models ensures a continuing role for the optimality approach, regardless of the fate of adaptationism. (shrink)

In recent years, philosophy of science has witnessed a significant increase in attention directed toward the field’s social relevance. This is demonstrated by the formation of societies with related agendas, the organization of research symposia, and an uptick in work on topics of immediate public interest. The collection of papers that follows results from one such event: a 3-day colloquium on the subject of socially engaged philosophy of science (SEPOS) held at the University of Cincinnati in October 2012. In this (...) introduction, we first survey the recent history of philosophy of science’s social involvement (or lack thereof) and contrast this with the much greater social involvement of the sciences themselves. Next, we argue that the field of philosophy of science bears a special responsibility to contribute to public welfare. We then introduce as a term of art “SEPOS” and articulate what we take to be distinctive about social engagement, with reference to the articles in this collection as exemplars. Finally, we survey the current state of social engagement in philosophy of science and suggest some practical steps for individuals and institutions to support this trajectory. (shrink)

Levels of organization and their use in science have received increased philosophical attention of late, including challenges to the well-foundedness or widespread usefulness of levels concepts. One kind of response to these challenges has been to advocate a more precise and specific levels concept that is coherent and useful. Another kind of response has been to argue that the levels concept should be taken as a heuristic, to embrace its ambiguity and the possibility of exceptions as acceptable consequences of its (...) usefulness. In this chapter, I suggest that each of these strategies faces its own attendant downsides, and that pursuit of both strategies (by different thinkers) compounds the difficulties. That both kinds of approaches are advocated is, I think, illustrative of the problems plaguing the concept of levels of organization. I end by suggesting that the invocation of levels may mislead scientific and philosophical investigations more than it informs them, so our use of the levels concept should be updated accordingly. (shrink)

One of biology's fundamental aims is to generate understanding of the living world around—and within—us. In this chapter, I aim to provide a relatively nonpartisan discussion of the nature of explanation in biology, grounded in widely shared philosophical views about scientific explanation. But this discussion also reflects what I think is important for philosophers and biologists alike to appreciate about successful scientific explanations, so some points will be controversial, at least among philosophers. I make three main points: (1) causal relationships (...) and broad patterns have often been granted importance to scientific explanations, and they are in fact both important; (2) some explanations in biology cite the components of or processes in systems that account for the systems’ features, whereas other explanations feature large-scale or structural causes that influence a system; and (3) there can be multiple different explanations of a given biological phenomenon, explanations that respond to different research aims and can thus be compatible with one another even when they may seem to disagree. (shrink)

An historically important conception of the unity of science is explanatory reductionism, according to which the unity of science is achieved by explaining all laws of science in terms of their connection to microphysical law. There is, however, a separate tradition that advocates the unity of science. According to that tradition, the unity of science consists of the coordination of diverse fields of science, none of which is taken to have privileged epistemic status. This alternate conception has roots in Otto (...) Neurath’s notion of unified science. In this paper, I develop a version of the coordination approach to unity that is inspired by Neurath’s views. The resulting conception of the unity of science achieves aims similar to those of explanatory reductionism, but does so in a radically different way. As a result, it is immune to the criticisms facing explanatory reductionism. This conception of unity is also importantly different from the view that science is disunified, and I conclude by demonstrating how it accords better with scientific practice than do conceptions of the disunity of science. (shrink)

The tremendous philosophical focus on how to characterize explanatory metaphysical dependence has eclipsed a number of other unresolved issued about scientific explanation. The purpose of this paper is taxonomical. I will outline a number of other questions about the nature of explanation and its role in science—eight, to be precise—and argue that each is independent. All of these topics have received some philosophical attention, but none nearly so much as it deserves. Furthermore, existing views on these topics have been obscured (...) by not distinguishing among these independent questions and, especially, by not separating them from the question of what metaphysical dependence relation is explanatory. Philosophical analysis of scientific explanation would be much improved by attending more carefully to these, and probably still other, elements of an account of explanation. (shrink)

Michael Strevens offers an account of causal explanation according to which explanatory practice is shaped by counterbalanced commitments to representing causal influence and abstracting away from overly specific details. In this paper, I challenge a key feature of that account. I argue that what Strevens calls explanatory frameworks figure prominently in explanatory practice because they actually improve explanations. This suggestion is simple but has far-reaching implications. It affects the status of explanations that cite multiply realizable properties; changes the explanatory role (...) of causal factors with small effect; and undermines Strevens’ titular explanatory virtue, depth. This results in greater coherence with explanatory practice and accords with the emphasis that Strevens places on explanatory patterns. Ultimately, my suggestion preserves a tight connection between explanation and the creation of understanding by taking into account explanations’ role in communication. (shrink)

“Participatory research” is an umbrella term for a wide variety of scientific research projects that include participation of members of the lay public beyond simply using humans as “subjects” of research. In this chapter, we begin by surveying the variety of participatory research approaches across fields. We examine the goals of participatory research projects, including social and scientific value. Next, we apply a theoretical framework to challenges that participatory research faces. We then survey three typologies of participatory research projects, each (...) of which can illuminate and guide decisions in project development. We end by looking at participatory research approaches in health contexts, applying the theoretical resources we introduced earlier in the chapter. (shrink)

Recent philosophy of science has witnessed a shift in focus, in that significantly more consideration is given to how scientists employ models. Attending to the role of models in scientific practice leads to new questions about the representational roles of models, the purpose of idealizations, why multiple models are used for the same phenomenon, and many more besides. In this paper, I suggest that these themes resonate with central topics in feminist epistemology, in particular prominent versions of feminist empiricism, and (...) that model-based science and feminist epistemology each has crucial resources to offer the other's project. (shrink)

When game theory was introduced to biology, the components of classic game theory models were replaced with elements more befitting evolutionary phenomena. The actions of intelligent agents are replaced by phenotypic traits; utility is replaced by fitness; rational deliberation is replaced by natural selection. In this paper, I argue that this classic conception of comprehensive reapplication is misleading, for it overemphasizes the discontinuity between human behavior and evolved traits. Explicitly considering the representational roles of evolutionary game theory brings to attention (...) neglected areas of overlap, as well as a range of evolutionary possibilities that are often overlooked. The clarifications this analysis provides are well-illustrated by—and particularly valuable for—game theoretic treatments of the evolution of social behavior. (shrink)

Historically, the Vienna Circle and the Dessau Bauhaus were related, with members of each group familiar with the ideas of the other. Peter Galison argues that their projects are related as well, through shared political views and methodological approach. The two main figures that connect the Vienna Circle to the Bauhaus—and the figures upon which Galison focuses—are Rudolf Carnap and Otto Neurath. Yet the connections that Galison develops do not properly capture the common themes between the Bauhaus and Neurath’s philosophical (...) projects. We demonstrate this by considering Neurath’s philosophical commitments. We suggest different connections between Neurath’s projects and the Bauhaus, connections that are both substantive and philosophically interesting. (shrink)

Ideological language is widespread in theoretical biology. Evolutionary game theory has been defended as a worldview and a leap of faith, and sexual selection theory has been criticized for what it posits as basic to biological nature. Views such as these encourage the impression of ideological rifts in the field. I advocate an alternative interpretation, whereby many disagreements between different camps of biologists merely reflect methodological differences. This interpretation provides a more accurate and more optimistic account of the state of (...) play in the field of biology. It also helps account for biologists' tendency to embrace ideological positions. (shrink)

Scientific realism is a thesis about the success of science. Most traditionally: science has been so successful at prediction and guiding action because its best theories are true (or approximately true or increasing in their degree of truth). If science is in the business of doing its best to generate true theories, then we should turn to those theories for explanatory knowledge, predictions, and guidance of our actions and decisions. Views that are popular in contemporary philosophy of science about scientific (...) modeling and the centrality of idealization create several challenges for this traditional form of scientific realism. Yet the basic idea behind scientific realism that science has been and will continue to be epistemically successful is deeply appealing. This chapter explores the challenges posed by idealization and scientific modeling to motivate a scientific realism fully divorced from the idea that science is in the business of generating true theories. On the resulting view, the objects of scientific knowledge are causal patterns, so this knowledge only ever provides partial, simplified accounts of a complex reality. This variety of selective realism better accommodates the nature of our present-day scientific successes and offers an interpretation of scientific progress that resists the antirealist’s pessimism. (shrink)

One of the central aims of science is explanation: scientists seek to uncover why things happen the way they do. This chapter addresses what kinds of explanations are formulated in biology, how explanatory aims influence other features of the field of biology, and the implications of all of this for biology education. Philosophical treatments of scientific explanation have been both complicated and enriched by attention to explanatory strategies in biology. Most basically, whereas traditional philosophy of science based explanation on derivation (...) from scientific laws, there are many biological explanations in which laws play little or no role. Instead, the field of biology is a natural place to turn for support for the idea that causal information is explanatory. Biology has also been used to motivate mechanistic accounts of explanation, as well as criticisms of that approach. Ultimately, the most pressing issue about explanation in biology may be how to account for the wide range of explanatory styles encountered in the field. This issue is crucial, for the aims of biological explanation influence a variety of other features of the field of biology. Explanatory aims account for the continued neglect of some central causal factors, a neglect that would otherwise be mysterious. This is linked to the persistent use of models like evolutionary game theory and population genetic models, models that are simplified to the point of unreality. These explanatory aims also offer a way to interpret many biologists’ total commitment to one or another methodological approach, and the intense disagreements that result. In my view, such debates are better understood as arising not from different theoretical commitments, but commitments to different explanatory projects. Biology education would thus be enriched by attending to approaches to biological explanation, as well as the unexpected ways that these explanatory aims influence other features of biology. I suggest five lessons for teaching about explanation in biology that follow from the considerations of this chapter. (shrink)

There’s a recurrent divide among philosophical views about science—those focused on practice vs. those focused on metaphysics, assertions of pluralism vs. assertions of realism, accounts of how science’s history could have gone otherwise vs. accounts of how science achieves knowledge. Michela Massimi’s Perspectival Realism is ultimately a bridging project, aiming to cross this divide. The project is to recruit resources from perspectivism, a kind of pluralism about science, to show how science achieves knowledge and, thus, to inform a scientific realism (...) compatible with this pluralism. (shrink)

Public participation in scientific research has gained prominence in many scientific fields, but the theory of participatory research is still limited. In this paper, we suggest that the divergence of values and goals between academic researchers and public participants in research is key to analyzing the different forms this research takes. We examine two existing characterizations of participatory research: one in terms of public participants' role in the research, the other in terms of the virtues of the research. In our (...) view, each of these captures an important feature of participatory research but is, on its own, limited in what features it takes into account. We introduce an expanded conception of norms of collaboration that extends to both academic researchers and public participants. We suggest that satisfying these norms requires consideration of the two groups' possibly divergent values and goals, and that a broad characterization of participatory research that starts from participants' values and goals can motivate both public participants’ role in the research and the virtues of the research. The resulting framework clarifies the similarities and differences among participatory projects and can help guide the responsible design of such projects. (shrink)

Lacks discussion of mathematics, the ne plus ultra of idealizations. Otherwise interesting.

Philosophers traditionally recognize two main features of mental states: intentionality and phenomenal consciousness. To a first approximation, intentionality is the aboutness of mental states, and phenomenal consciousness is the felt, experiential, qualitative, or "what it's like" aspect of mental states. In the past few decades, these features have been widely assumed to be distinct and independent. But several philosophers have recently challenged this assumption, arguing that intentionality and consciousness are importantly related. This article overviews the key views on the relationship (...) between consciousness and intentionality and describes our favored view, which is a version of the phenomenal intentionality theory, roughly the view that the most fundamental kind of intentionality arises from phenomenal consciousness. (shrink)

Perceptual experiences seem to in some sense have singular contents. For example, a perceptual experience of a dog as fluffy seems to represent some particular dog as being fluffy. There are important phenomenological, intuitive, and semantic considerations for thinking that perceptual experiences represent singular contents, but there are also important phenomenological, epistemic, and metaphysical considerations for thinking that they do not. This paper proposes a two-tier picture of the content of singular perceptual experiences that is based on phenomenal intentionality theories (...) of intentionality combined with self-ascriptivism about derived representation, a combination of views that allows mental states to have two types of contents: phenomenal contents and derived contents. On the proposed picture, singular perceptual experiences represent singular phenomenal contents, which do not involve worldly objects, as well as singular derived contents, which do involve worldly objects. This picture accommodates and reconciles the considerations for and against thinking that perceptual experiences have singular contents. (shrink)

Abstract In slogan form, the thesis of this paper is that beliefs are self-verifying fictions: We make them up, but in so doing, they come to exist, and so the fiction of belief is in fact true. This picture of belief emerges from a combination of three independently motivated views: (1) a phenomenal intentionalist picture of intentionality, on which phenomenal consciousness is the basis of intentionality; (2) what I will call a “self-ascriptivist” picture of derived representation, on which non-fundamental representational (...) features are a matter of our ascribing contents to ourselves or our mental states or contents; and (3) a representationalist picture of the attitudes, on which the attitude components of mental states (e.g., the “belief” bit of a belief that P) are represented contents. This paper outlines and motivates the view of beliefs as self-verifying fictions, compares the view to alternative views of belief, and contrasts beliefs on the resulting picture to other belief-like mental states. (shrink)

The purpose of this article is to show that animal rights are not necessarily at odds with the use of animals for research. If animals hold basic moral rights similar to those of humans, then we should consequently extend the ethical requirements guiding research with humans to research with animals. The article spells out how this can be done in practice by applying the seven requirements for ethical research with humans proposed by Ezekiel Emanuel, David Wendler and Christine Grady to (...) animal research. These requirements are i) social value, ii) scientific validity, iii) independent review, iv) fair subject selection, v) favorable risk-benefit ratio, vi) informed consent, and vii) respect for research subjects. In practice, this means that we must reform the practice of animal research to make it more similar to research with humans, rather than completely abolish the former. Indeed, if we banned animal research altogether, then we would also deprive animals of its potential benefits – which would be ethically problematic. (shrink)

Despite the recent proliferation of scientific, clinical, and narrative accounts of auditory verbal hallucinations, the phenomenology of voice hearing remains opaque and undertheorized. In this article, we outline an interdisciplinary approach to understanding hallucinatory experiences which seeks to demonstrate the value of the humanities and social sciences to advancing knowledge in clinical research and practice. We argue that an interdisciplinary approach to the phenomenology of AVH utilizes rigorous and context-appropriate methodologies to analyze a wider range of first-person accounts of AVH (...) at 3 contextual levels: cultural, social, and historical; experiential; and biographical. We go on to show that there are significant potential benefits for voice hearers, clinicians, and researchers. These include informing the development and refinement of subtypes of hallucinations within and across diagnostic categories; “front-loading” research in cognitive neuroscience; and suggesting new possibilities for therapeutic intervention. In conclusion, we argue that an interdisciplinary approach to the phenomenology of AVH can nourish the ethical core of scientific enquiry by challenging its interpretive paradigms, and offer voice hearers richer, potentially more empowering ways to make sense of their experiences. (shrink)

It is a live possibility that certain of our experiences reliably misrepresent the world around us. I argue that tracking theories of mental representation have difficulty allowing for this possibility, and that this is a major consideration against them.

This paper compares tracking and phenomenal intentionality theories of intentionality with respect to the issue of naturalism. Tracking theories explicitly aim to naturalize intentionality, while phenomenal intentionality theories generally do not. It might seem that considerations of naturalism count in favor of tracking theories. We survey key considerations relevant to this claim, including some motivations for and objections to the two kinds of theories. We conclude by suggesting that naturalistic considerations may in fact support phenomenal intentionality theories over tracking theories.

Moods and emotions are sometimes thought to be counterexamples to intentionalism, the view that a mental state's phenomenal features are exhausted by its representational features. The problem is that moods and emotions are accompanied by phenomenal experiences that do not seem to be adequately accounted for by any of their plausibly represented contents. This paper develops and defends an intentionalist view of the phenomenal character of moods and emotions on which emotions and some moods represent intentional objects as having sui (...) generis affective properties, which happen to be uninstantiated, and at least some moods represent affective properties not bound to any objects. (shrink)

David Papineau’s _The Metaphysics of Sensory Experience_ is deep, insightful, refreshingly brisk, and very readable. In it, Papineau argues that sensory experiences are intrinsic and non-relational states of subjects; that they do not essentially involve relations to worldly facts, properties, or other items (though they do happen to correlate with worldly items); and that they do not have truth conditions simply in virtue of their conscious (i.e., phenomenal) features. I am in enthusiastic agreement with the picture as described so far. (...) But Papineau also argues that sensory experiences are in no interesting sense essentially representational and that what is responsible for their truth conditions is their correlations with the environment. Here, I disagree. Indeed, I think Papineau does not follow his arguments to their proper conclusions. For if sensory experiences are intrinsic, non-relational, and only contingently correlated with worldly conditions (as Papineau and I agree they are), then the phenomenal features of sensory states are representational in an important sense: they constitute what we think, perceptually experience, or otherwise entertain, making up how things seem to us from a first-person perspective. Because of this, the truth conditions of perceptual experiences cannot be entirely independent of their phenomenal features. They cannot merely be a matter of environmental correlations. If we follow Papineau’s arguments to their proper conclusions, we end up with a view much closer to a version of representationalism that Papineau dismisses, a view he calls “pure phenomenal intentionalism”. (shrink)

This dissertation argues that mental representation is identical to phenomenal consciousness, and everything else that appears to be both mental and a matter of representation is not genuine mental representation, but either in some way derived from mental representation, or a case of non-mental representation.

Over the past few decades, the dominant approach to explaining intentionality has been a naturalistic approach, one appealing only to non-mental ingredients condoned by the natural sciences. Karen Neander’s A Mark of the Mental (2017) is the latest installment in the naturalist project, proposing a detailed and systematic theory of intentionality that combines aspects of several naturalistic approaches, invoking causal relations, teleological functions, and relations of second-order similarity. In this paper, we consider the case of perceptual representations of colors, which (...) is a challenging case for Neander’s theory. This case will brings out a general methodological concern with Neander’s and other naturalistic theories: these theories generally rest on the assumption that the mental intentionality we are acquainted with in everyday life—the phenomenon exhibited by desires for cups of coffee, perceptual experiences of dogs playing in yards, and thoughts about the weather—is the very same kind of phenomenon that cognitive science studies under labels such as “mental representation” and, in some cases, “information processing.” This assumption is dubious, as the case of Neander’s theory illustrates. (shrink)

When we evaluate artworks, we often point to what an artist could have done or what a work could have been in order to say something about the work as it actually is. Call this counterfactual reasoning in art criticism. On my account, counterfactual claims about artworks involve comparative aesthetic judgments between actual artworks and hypothetical variations of those works. The practice of imagining what an artwork could have been is critically useful because it can help us understand how artworks (...) achieve specific aesthetic effects. I conclude by responding to an objection to my account on the basis that it violates the widely accepted acquaintance principle in aesthetics, on which aesthetic judgments must be based on firsthand perceptual encounters with their objects. (shrink)

Reliable misrepresentation is getting things wrong in the same way all the time. In Mendelovici 2013, I argue that tracking theories of mental representation cannot allow for certain kinds of reliable misrepresentation, and that this is a problem for those views. Artiga 2013 defends teleosemantics from this argument. He agrees with Mendelovici 2013 that teleosemantics cannot account for clean cases of reliable misrepresentation, but argues that this is not a problem for the views. This paper clarifies and improves the argument (...) in Mendelovici 2013 and response to Artiga's arguments. Tracking theories, teleosemantics included, really do need to allow for clean cases of reliable misrepresentation. (shrink)

This article argues that resolutions are reason-giving: when an agent resolves to φ, she incurs an additional normative reason to φ. Resolution-making is therefore a normative power: an ability we have to alter our normative circumstances through sheer acts of will. I argue that the reasons we incur from forming resolutions are importantly similar to the reasons we incur from making promises. My account explains why it can be rational for an agent to act on a past resolution even if (...) temptation causes a shift in her preferences and even her judgment about what to do, and offers a response to a common objection to the normativity of resolutions known as the bootstrapping problem, on which if resolutions were reason-giving, they would problematically allow us to bootstrap any action into rationality simply by resolving to perform it. (shrink)

According to intentionalism, phenomenal properties are identical to, supervenient on, or determined by representational properties. Intentionalism faces a special challenge when it comes to accounting for the phenomenal character of moods. First, it seems that no intentionalist treatment of moods can capture their apparently undirected phenomenology. Second, it seems that even if we can come up with a viable intentionalist account of moods, we would not be able to motivate it in some of the same kinds of ways that intentionalism (...) about other kinds of states can be motivated. In this article, I respond to both challenges: First, I propose a novel intentionalist treatment of moods on which they represent unbound affective properties. Then, I argue that this view is indirectly supported by the same kinds of considerations that directly support intentionalism about other mental states. (shrink)

The predominant view is that a study using health data is observational research and should require individual consent unless it can be shown that gaining consent is impractical. But recent arguments have been made that citizens have an ethical obligation to share their health information for research purposes. In our view, this obligation is sufficient ground to expand the circumstances where secondary use research with identifiable health information is permitted without explicit subject consent. As such, for some studies the Institutional (...) Review Board/Research Ethics Committee review process should not assess the practicality of gaining consent for data use. Instead the review process should focus on assessing the public good of the research, public engagement and transparency. (shrink)

Propositionalism is the view that all intentional states are propositional states, which are states with a propositional content, while objectualism is the view that at least some intentional states are objectual states, which are states with objectual contents, such as objects, properties, and kinds. This paper argues that there are two distinct ways of understanding propositionalism and objectualism: (1) as views about the deep nature of the contents of intentional states, and (2) as views about the superficial character of the (...) contents of intentional states. I argue that we should understand the views in the second way. I also argue that the propositionalism debate is fairly independent from debates over the deep nature of intentionality, and that this has implications for arguments for propositionalism and objectualism from claims about the nature of intentional content. I close with a short discussion of how related points apply to the debate over singular content. (shrink)

The most pressing worry for panpsychism is arguably the combination problem, the problem of intelligibly explaining how the experiences of microphysical entities combine to form the experiences of macrophysical entities such as ourselves. This chapter argues that the combination problem is similar in kind to other problems of mental combination that are problems for everyone: the problem of phenomenal unity, the problem of mental structure, and the problem of new quality spaces. The ubiquity of combination problems suggests the ignorance hypothesis, (...) the hypothesis that we are ignorant of certain key facts about mental combination, which allows the panpsychist to avoid certain objections based on the combination problem. (shrink)

This paper argues that there are two distinct kinds of senses, immediate senses and reflective senses. Immediate senses are what we are immediately aware of when we are in an intentional mental state, while reflective senses are what we understand of an intentional mental state's (putative) referent upon reflection. I suggest an account of immediate and reflective senses that is based on the phenomenal intentionality theory, a theory of intentionality in terms of phenomenal consciousness. My focus is on the immediate (...) and reflective senses of thoughts and the concepts they involve, but it also applies to other mental instances of intentionality. (shrink)

William Lycan is a notable early proponent of representationalism, which is, roughly, the view that a mental state's phenomenal features are nothing over and above its representational features (perhaps in addition to some further ingredients). Representationalism faces a challenge in accounting for perspectival experiences, which are, roughly, experiences that arise from our occupying a particular real or perceived perspective on the world. This paper presents representationalism, situating Lycan's version of representationalism within the representationalist landscape, and describes the challenge from perspectival (...) experiences. It considers three different representationalist treatments of perspectival experiences: the Layered View, which is developed by Lycan; the Relational Properties View, which Lycan eventually comes to endorse; and the Naive View, which, I will argue, combines elements from both views to achieve the best overall view. (shrink)