Some things are funny—jokes, puns, sitcoms, Charlie Chaplin, The Far Side, Malvolio with his yellow garters crossed—but why? Why does humor exist in the first place? Why do we spend so much of our time passing on amusing anecdotes, making wisecracks, watching The Simpsons? In Inside Jokes, Matthew Hurley, Daniel Dennett, and Reginald Adams offer an evolutionary and cognitive perspective. Humor, they propose, evolved out of a computational problem that arose when our long-ago ancestors were furnished with open-ended thinking.
There is a new way of thinking about the mind that does not locate mental processes exclusively "in the head." Some think that this expanded conception of the mind will be the basis of a new science of the mind. In this book, leading philosopher Mark Rowlands investigates the conceptual foundations of this new science of the mind.
People can be disgusted by the concrete and by the abstract—by an object they find physically repellent or by an ideology or value system they find morally abhorrent. Different things will disgust different people, depending on individual sensibilities or cultural backgrounds. In Yuck!, Daniel Kelly investigates the character and evolution of disgust, with an emphasis on understanding the role this emotion has come to play in our social and moral lives.
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.
Many disciplines, including philosophy, history, and sociology, have attempted to make sense of how science works. In this book, Paul Thagard examines scientific development from the interdisciplinary perspective of cognitive science. Cognitive science combines insights from researchers in many fields: philosophers analyze historical cases, psychologists carry out behavioral experiments, neuroscientists perform brain scans, and computer modelers write programs that simulate thought processes.
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 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 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.