There is an important division in the human mind between perception and reasoning. We reason from information that we have already, but perception is a means of taking in new information. Susanna Siegel argues that these two aspects of the mind become deeply intertwined when beliefs, fears, desires, or prejudice influence what we perceive.

What do we see? We are visually conscious of colors and shapes, but are we also visually conscious of complex properties such as being John Malkovich? In this book, Susanna Siegel develops a framework for understanding the contents of visual experience, and argues that these contents involve all sorts of complex properties. Siegel starts by analyzing the notion of the contents of experience, and by arguing that theorists of all stripes should accept that experiences have contents. She then introduces a (...) method for discovering the contents of experience: the method of phenomenal contrast. This method relies only minimally on introspection, and allows rigorous support for claims about experience. She then applies the method to make the case that we are conscious of many kinds of properties, of all sorts of causal properties, and of many other complex properties. She goes on to use the method to help analyze difficult questions about our consciousness of objects and their role in the contents of experience, and to reconceptualize the distinction between perception and sensation. Siegel's results are important for many areas of philosophy, including the philosophy of mind, epistemology, and the philosophy of science. They are also important for the psychology and cognitive neuroscience of vision. (shrink)

In everyday life we either express our beliefs in all-or-nothing terms or we resort to numerical probabilities: I believe it's going to rain or my chance of winning is one in a million. The Stability of Belief develops a theory of rational belief that allows us to reason with all-or-nothing belief and numerical belief simultaneously.

Philosophers of mind and cognitive scientists have recently taken renewed interest in cognitive penetration, in particular, in the cognitive penetration of perceptual experience. The question is whether cognitive states like belief influence perceptual experience in some important way. Since the possible phenomenon is an empirical one, the strategy for analysis has, predictably, proceeded as follows: define the phenomenon and then, definition in hand, interpret various psychological data. However, different theorists offer different and apparently inconsistent definitions. And so in addition to (...) the usual problems (e.g., definitions being challenged by counterexample), an important result is that different theorists apply their definitions and accordingly get conflicting answers to the question “Is this a genuine case of cognitive penetration?”. This hurdle to philosophical and scientific progress can be remedied, I argue, by returning attention to the alleged consequences of the possible phenomenon. There are three: theory-ladenness of perception in contexts of scientific theory choice, a threat to the general epistemic role of perception, and implications for mental architecture. Any attempt to characterize or define, and then empirically test for, cognitive penetration should be constrained by these consequences. This is a method for interpreting and acquiring experimental data in a way that is agreeable to both sides of the cognitive penetration debate. Put crudely, the question shifts to “Is this a cognitive-perceptual relation that results in (or constitutes) one or more of the relevant consequences?” In answering this question, relative to various data, it may turn out that there is no single unified phenomenon of cognitive penetration. But this should be no matter, since it is the consequences that are of central importance to philosophers and scientists alike. (shrink)

Includes a summary of my book *The Rationality of Perception* (Oxford, 2017) and replies to commentaries on it by Endre Begby, Harmen Ghijsen, and Katia Samoilova. These commentaries and my summary and replies will be published soon in Analysis Reviews. Begby focuses on my analysis of the epistemic features of the interface between individual minds and their cultural milieu (discussed in chapter 10 of *The Rationality of Perception*), Ghijsen focuses on the notion of inference and reliabilism (chapters 5 and 6), (...) and Samoilova focuses on the relationship between epistemic charge (chapter 3) and shifts in the amount of justification needed for knowledge. (shrink)

There is an important division in the human mind between perception and reasoning. We reason from information that we have already, but perception is a means of taking in new information. Susanna Siegel argues that these two aspects of the mind become deeply intertwined when beliefs, fears, desires, or prejudice influence what we perceive.

Formal methods are changing how epistemology is being studied and understood. A Critical Introduction to Formal Epistemology introduces the types of formal theories being used and explains how they are shaping the subject. Beginning with the basics of probability and Bayesianism, it shows how representing degrees of belief using probabilities informs central debates in epistemology. As well as discussing induction, the paradox of confirmation and the main challenges to Bayesianism, this comprehensive overview covers objective chance, peer disagreement, the concept of (...) full belief, and the traditional problems of justification and knowledge. Subjecting each position to a critical analysis, it explains the main issues in formal epistemology, and the motivations and drawbacks of each position. Written in an accessible language and supported study questions, guides to further reading and a glossary, positions are placed in an historic context to give a sense of the development of the field. As the first introductory textbook on formal epistemology, A Critical Introduction to Formal Epistemology is an invaluable resource for students and scholars of contemporary epistemology. (shrink)

At least since Locke, philosophers and psychologists have usually held that concepts arise out of sensory perceptions, thoughts are built from concepts, and language enables speakers to convey their thoughts to hearers. Christopher Gauker holds that this tradition is mistaken about both concepts and language. The mind cannot abstract the building blocks of thoughts from perceptual representations. More generally, we have no account of the origin of concepts that grants them the requisite independence from language. Gauker's alternative is to show (...) that much of cognition consists in thinking by means of mental imagery, without the help of concepts, and that language is a tool by which interlocutors coordinate their actions in pursuit of shared goals. Imagistic cognition supports the acquisition and use of this tool, and when the use of this tool is internalized, it becomes the very medium of conceptual thought. (shrink)

Conditionals are sentences of the form 'If A, then B', and they play a central role in scientific, logical, and everyday reasoning. They have been in the philosophical limelight for centuries, and more recently, they have been receiving attention from psychologists, linguists, and computer scientists. In spite of this, many key questions concerning conditionals remain unanswered. While most of the work on conditionals has addressed semantical questions - questions about the truth conditions of conditionals - this book focuses on the (...) main epistemological questions that conditionals give rise to, such as: what are the probabilities of conditionals? When is a conditional acceptable or assertable? What do we learn when we receive new conditional information? In answering these questions, this book combines the formal tools of logic and probability theory with the experimental approach of cognitive psychology. It will be of interest to students and researchers in logic, epistemology, and psychology of reasoning. (shrink)

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is (...) that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. (shrink)

An argument that there are perceptual mechanisms that retrieve information in cognitively and conceptually unmediated ways and that this sheds light on various ...

This is the Stanford Encyclopedia of Philosophy entry on the contents of perception.

Abstract: This paper seeks to establish whether the cognitive penetration of experience is compatible with experience having nonconceptual content. Cognitive penetration occurs when one’s beliefs or desires affect one’s perceptual experience in a particular way. I examine two different models of cognitive penetration and four different accounts of the distinction between conceptual and nonconceptual content. I argue that one model of cognitive penetration—“classic” cognitive penetration—is compatible with only one of the accounts of nonconceptual content that I identify. I then consider (...) the other model of cognitive penetration—cognitive penetration “lite”. I provide reasons to think that this is compatible with three accounts of nonconceptual content. Moreover, I argue that the account of nonconceptual content that it is not compatible with is a spurious notion of nonconceptual content that ought to be abandoned. Thus, I claim that cognitive penetration lite is compatible with all reasonable specifications of nonconceptual content. (shrink)

Bayesian confirmation theory—abbreviated to in these notes—is the predominant approach to confirmation in late twentieth century philosophy of science. It has many critics, but no rival theory can claim anything like the same following. The popularity of the Bayesian approach is due to its flexibility, its apparently effortless handling of various technical problems, the existence of various a priori arguments for its validity, and its injection of subjective and contextual elements into the process of confirmation in just the places where (...) critics of earlier approaches had come to think that subjectivity and sensitivity to context were necessary. (shrink)

Book Review of Luc Bovens and Stephan Hartmann *Bayesian Epistemology* by Erik J. Olsson.

According to Bayesian confirmation theory, evidence E (incrementally) confirms (or supports) a hypothesis H (roughly) just in case E and H are positively probabilistically correlated (under an appropriate probability function Pr). There are many logically equivalent ways of saying that E and H are correlated under Pr. Surprisingly, this leads to a plethora of non-equivalent quantitative measures of the degree to which E confirms H (under Pr). In fact, many non-equivalent Bayesian measures of the degree to which E confirms (or (...) supports) H have been proposed and defended in the literature on inductive logic. I provide a thorough historical survey of the various proposals, and a detailed discussion of the philosophical ramifications of the differences between them. I argue that the set of candidate measures can be narrowed drastically by just a few intuitive and simple desiderata. In the end, I provide some novel and compelling reasons to think that the correct measure of degree of evidential support (within a Bayesian framework) is the (log) likelihood ratio. The central analyses of this research have had some useful and interesting byproducts, including: (i ) a new Bayesian account of (confirmationally) independent evidence, which has applications to several important problems in con- firmation theory, including the problem of the (confirmational) value of evidential diversity, and (ii ) novel resolutions of several problems in Bayesian confirmation theory, motivated by the use of the (log) likelihood ratio measure, including a reply to the Popper-Miller critique of probabilistic induction, and a new analysis and resolution of the problem of irrelevant conjunction (a.k.a., the tacking problem). (shrink)