Most of what humans do and experience is best understood in terms of dynamically unfolding interactions with the environment. Many philosophers and cognitive scientists now acknowledge the critical importance of situated, environment-involving embodied engagements as a means of understanding basic minds—including basic forms of human mentality. Yet many of these same theorists hold fast to the view that basic minds are necessarily or essentially contentful—that they represent conditions the world might be in.
Where does the mind stop and the rest of the world begin? In their famous 1998 paper "The Extended Mind," philosophers Andy Clark and David J. Chalmers posed this question and answered it provocatively: cognitive processes "ain't all in the head." The environment has an active role in driving cognition; cognition is sometimes made up of neural, bodily, and environmental processes. Their argument excited a vigorous debate among philosophers, both supporters and detractors. This volume brings together for the first time the best responses to Clark and Chalmers's bold proposal.
By adulthood, most of us have become experts in human behavior, able to make sense of the myriad behaviors we find in environments ranging from the family home to the local mall and beyond. In philosophy of mind, our understanding of others has been largely explained in terms of knowing others' beliefs and desires; describing others' behavior in these terms is the core of what is known as folk psychology.
Academic interest in the phenomenon of joint attention—the capacity to attend to an object together with another creature—has increased rapidly over the past two decades. Yet it isn’t easy to spell out in detail what joint attention is, how it ought to be characterized, and what exactly its significance consists in. The writers for this volume address these and related questions by drawing on a variety of disciplines, including developmental and comparative psychology, philosophy of mind, and social neuroscience.
In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT.
In this largely antimetaphysical treatment of free will and determinism, Mark Balaguer argues that the philosophical problem of free will boils down to an open scientific question about the causal histories of certain kinds of neural events. In the course of his argument, Balaguer provides a naturalistic defense of the libertarian view of free will.
In this groundbreaking book, Jonathan Waskan challenges cognitive science’s dominant model of mental representation and proposes a novel, well-devised alternative. The traditional view in the cognitive sciences uses a linguistic (propositional) model of mental representation. This logic-based model of cognition informs and constrains both the classical tradition of artificial intelligence and modeling in the connectionist tradition.
In Psychiatry in the Scientific Image, Dominic Murphy looks at psychiatry from the viewpoint of analytic philosophy of science, considering three issues: how we should conceive of, classify, and explain mental illness. If someone is said to have a mental illness, what about it is mental? What makes it an illness? How might we explain and classify it? A system of psychiatric classification settles these questions by distinguishing the mental illnesses and showing how they stand in relation to one another.
Consciousness is arguably the most important area within contemporary philosophy of mind and perhaps the most puzzling aspect of the world. Despite an explosion of research from philosophers, psychologists, and scientists, attempts to explain consciousness in neurophysiological, or even cognitive, terms are often met with great resistance.
When neurology researcher James Austin began Zen training, he found that his medical education was inadequate. During the past three decades, he has been at the cutting edge of both Zen and neuroscience, constantly discovering new examples of how these two large fields each illuminate the other. Now, in Selfless Insight, Austin arrives at a fresh synthesis, one that invokes the latest brain research to explain the basis for meditative states and clarifies what Zen awakening implies for our understanding of consciousness.