Claudia Passos-Ferreira

Studying consciousness in prelinguistic infants presents a challenge. We cannot ask them what they experience, and they cannot understand complex task instructions. This chapter offers an optimistic perspective. It outlines and assesses a methodology for studying infant consciousness, based centrally on natural kinds. This picture rests on a simple idea: we should harvest markers of consciousness in adults and then look for those markers in infants. When we find enough of them in an infant, we can infer the presence of consciousness. The chapter fleshes out this simple idea, showing how it can be justified and strengthened using the machinery of natural kinds. The chapter contrasts this approach with a ‘theory-first’ approach and argues that natural kinds are better. The chapter also discusses some complications, including behavioural versus neuroscientific markers of consciousness, the problem that there are no uncontroversial markers of consciousness, how to detect and fix misleading markers of consciousness, whether the emergence of consciousness is gradual, and how natural kinds can help us find new markers of consciousness.

In certain problem-solving contexts, people organize their domain through treating themselves as the perceptual and cognitive center of their world. They identify and solve a particular problem from their perspective as a particular agent, with a particular location, at a particular time, in a particular environment. When they do this, they engage in a distinctive kind of agent-centered problem-solving. For many contexts involving intelligent agents, partially observable Markov decision processes (POMDPs), a framework for modeling decision-making in uncertain environments unfolding over time, have effectively become a “standard model.” Yet, as these models are ordinarily interpreted, they do not explicitly represent agent- centered problem-solving. Accordingly, to model this type of problem-solving, we begin by extending the standard POMDP framework to de ne “ePOMDPs.” This formalism models how an agent, once it centers itself on a particular self-and-world representation, plans and acts rationally from its own perspective. To capture the way that such agents choose which problem to solve, we build on our ePOMDPs to develop a“meta-ePOMDP” agent within a hierarchical Bayesian framework. We implement meta-ePOMDP agents for two different suites of“centering game” tasks that highlight different aspects of our theory. We nd that our models explain signatures of agent-centered problem-solving not captured by alternative models, in particular, the dif culty of navigating spaces of possible problem representations. We close by suggesting that our model could provide the beginnings of a computational framework for how a person could have a self.

Formal views of autonomy rule out substantive rational capacities (reasons-responsiveness) as a condition of autonomous agency. I argue that such views face a number of underappreciated problems: they have trouble making sense of how autonomous agents could be robustly responsible for their choices, face the burden of explaining why there should be a stark distinction between the importance of factual and evaluative information within autonomous agency, and leave it mysterious why autonomy is the sort of thing that has value and ought to be promoted. Moreover, I argue that the alternative view that includes substantive rational capacities need not have the unacceptable political implications it is sometimes thought to have.

According to an intriguing though somewhat enigmatic line of thought first proposed by Jonathan Bennett, if humanity went extinct any time soon this would be unfortunate because important business would be left unfinished. This line of thought remains largely unexplored. I offer an interpretation of the idea that captures its intuitive appeal, is consistent with plausible constraints, and makes it non-redundant to other views in the literature. The resulting view contrasts with a welfare-promotion perspective, according to which extinction would be bad because it would come at a massive opportunity cost in terms of feasibly achievable welfare over the lifetime of our species.

Inspired by Rudolf Carnap's Der Logische Aufbau Der Welt, David J. Chalmers argues that the world can be constructed from a few basic elements. He develops a scrutability thesis saying that all truths about the world can be derived from basic truths and ideal reasoning. This thesis leads to many philosophical consequences: a broadly Fregean approach to meaning, an internalist approach to the contents of thought, and a reply to W. V. Quine's arguments against the analytic and the a priori. Chalmers also uses scrutability to analyze the unity of science, to defend a conceptual approach to metaphysics, and to mount a structuralist response to skepticism. Based on the 2010 John Locke lectures, Constructing the World opens up debate on central philosophical issues involving language, consciousness, knowledge, and reality. This major work by a leading philosopher will appeal to philosophers in all areas. This entry contains uncorrected proofs of front matter, chapter 1, and first excursus.

When making decisions on behalf of someone, is asking what they would have wanted a good way to respect their autonomy? Against prevalent assumptions, I argue that in decisions about the care and treatment of those with advanced dementia, the notion of ‘what one would have wanted’ is conceptually, epistemically, and practically problematic. The problem stems from the disparity between the first-person subjectivity of the past person and that of the present person. The transformative nature of dementia renders the very meaning of ‘what the patient would have wanted’ problematic. When applied to those with advanced dementia, the subjunctive notion is either (i) incoherent, (ii) fundamentally indeterminate, or (iii) normatively irrelevant.

This book argues that there is a joint in nature between seeing and thinking, perception, and cognition. Perception is constitutively iconic, nonconceptual, and nonpropositional, whereas cognition does not have these properties constitutively. The book does not appeal to “intuitions,” as is common in philosophy, but to empirical evidence, including experiments in neuroscience and psychology. The book argues that cognition affects perception, i.e., that perception is cognitively penetrable, but that this does not impugn the joint in nature. A key part of the argument is that we perceive not only low-level properties like colors, shapes, and textures but also high-level properties such as faces and causation. Along the way, the book explains the difference between perception and perceptual memory, the differences between format and content, and whether perception is probabilistic despite our lack of awareness of probabilistic properties. The book argues for perceptual categories that are not concepts, that perception need not be singular, that perceptual attribution and perceptual discrimination are equally fundamental, and that basic features of the mind known as “core cognition” are not a third category in between perception and cognition. The chapter on consciousness leverages these results to argue against some of the most widely accepted theories of consciousness. Although only one chapter is about consciousness, much of the rest of the book repurposes work on consciousness to isolate the scientific basis of perception.

A leading philosopher takes a mind-bending journey through virtual worlds, illuminating the nature of reality and our place within it. Virtual reality is genuine reality; that's the central thesis of Reality+. In a highly original work of "technophilosophy," David J. Chalmers gives a compelling analysis of our technological future. He argues that virtual worlds are not second-class worlds, and that we can live a meaningful life in virtual reality. We may even be in a virtual world already. Along the way, Chalmers conducts a grand tour of big ideas in philosophy and science. He uses virtual reality technology to offer a new perspective on long-established philosophical questions. How do we know that there's an external world? Is there a god? What is the nature of reality? What's the relation between mind and body? How can we lead a good life? All of these questions are illuminated or transformed by Chalmers' mind-bending analysis. Studded with illustrations that bring philosophical issues to life, Reality+ is a major statement that will shape discussion of philosophy, science, and technology for years to come.

"Featuring seventeen original essays on the ethics of Artificial Intelligence by some of the most prominent AI scientists and academic philosophers today, this volume represents the state-of-the-art thinking in this fast-growing field and highlights some of the central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment as a result of automation, how to avoiding designing AI systems that perpetuate existing biases, and how to determine whether an AI is conscious. As AI technologies progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James, Allan Dafoe, Andrea Loreggia, Andrew Critch, Azim Shariff, Carrick Flynn, Cathy O'Neil, Eliezer Yudkowsky, Eric Schwitzgebel, Frances Kamm, Francesca Rossi, Hanna Gunn, Iyad Rahwan, Jessica Taylor, JF Bonnefon, K. Brent Venable, Kate Devlin, Mara Garza, Nicholas Mattei, Nick Bostrom, Patrick LaVictoire, Peter Asaro, Peter Railton, S. Matthew Liao, Shannon Vallor, Stephen Wolfram, Steve Petersen, Stuart Russell, Susan Schneider, Wendell Wallach "--

Perhaps more than any other philosopher of mind, Ned Block synthesizes philosophical and scientific approaches to the mind; he is unique in moving back and forth across this divide, doing so with creativity and intensity. Over the course of his career, Block has made groundbreaking contributions to our understanding of intelligence, representation, and consciousness. Blockheads! (the title refers to Block's imaginary counterexample to the Turing test—and to the Block-enthusiast contributors) offers eighteen new essays on Block's work along with substantive and wide-ranging replies by Block

Although informed consent is important in clinical research, questions persist regarding when it is necessary, what it requires, and how it should be obtained. The standard view in research ethics is that the function of informed consent is to respect individual autonomy. However, consent processes are multidimensional and serve other ethical functions as well. These functions deserve particular attention when barriers to consent exist. We argue that consent serves seven ethically important and conceptually distinct functions. The first four functions pertain principally to individual participants: (1) providing transparency; (2) allowing control and authorization; (3) promoting concordance with participants' values; and (4) protecting and promoting welfare interests. Three other functions are systemic or policy focused: (5) promoting trust; (6) satisfying regulatory requirements; and (7) promoting integrity in research. Reframing consent around these functions can guide approaches to consent that are context sensitive and that maximize achievable goals.

I argue that there can be no such thing as a borderline case of the predicate ‘phenomenally conscious’: for any given creature at any given time, it cannot be vague whether that creature is phenomenally conscious at that time. I first defend the Positive Characterization Thesis, which says that for any borderline case of any predicate there is a positive characterization of that case that can show any sufficiently competent speaker what makes it a borderline case. I then appeal to the familiar claim that zombies are conceivable, and I argue that this claim entails that there can be no positive characterizations of borderline cases of ‘phenomenally conscious’. By the Positive Characterization Thesis, it follows that ‘phenomenally conscious’ can not have any borderline cases.

The success of the Bayesian approach to perception suggests probabilistic perceptual representations. But if perceptual representation is probabilistic, why doesn't normal conscious perception reflect the full probability distributions that the probabilistic point of view endorses? For example, neurons in MT/V5 that respond to the direction of motion are broadly tuned: a patch of cortex that is tuned to vertical motion also responds to horizontal motion, but when we see vertical motion, foveally, in good conditions, it does not look at all horizontal. This article argues that the best Bayesian approach to this problem does not require probabilistic representation.