"Machines who think--how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "Artificial Intelligence--it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. It's so simple and obvious, each side maintains, only a f…
Over a century ago, William James proposed that people search through memory much as they rummage through a house looking for lost keys. Like other animal species search space, we scour our environments for territory, food, mates, and other goals, including information. We searc…
By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluate…
The evolution of cognitive psychology, traced from the beginnings of a rigorous experimental psychology at the end of the nineteenth century to the "cognitive revolution" at the end of the twentieth, and the social and cultural contexts of its theoretical developments. "Modern …
The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures…
This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and `Natural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. Th…
Constraint-Based Grammar Formalisms provides the first rigorous mathematical and computational basis for this important area. Constraint-based theories of grammar and grammar formalisms are becoming an increasingly widespread area of research in computational linguistics. Constr…
In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite…
Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons. Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the pr…
Intentions in Communication brings together major theorists from artificial intelligence and computer science, linguistics, philosophy, and psychology whose work develops the foundations for an account of the role of intentions in a comprehensive theory of communication. It demo…
"What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspectiv…
"Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural language in spatial terms. Languages differ in the ways in which they structure space…
An argument for a Copernican revolution in our consideration of mental features -- a shift in which the world-brain problem supersedes the mind-body problem. Philosophers have long debated the mind-body problem -- whether to attribute such mental features as consciousness to min…
Kim Sterelny develops a novel account of the speed and extent of human evolutionary divergence from the great ape stock. The book does not explain human uniqueness by positing a critical adaptive breakthrough (episodic memory; advanced theory of mind; planning and causal reasoni…
A philosophical account of the structure of experience and how it depends on interpersonal relations, developed through a study of auditory verbal hallucinations and thought insertion.
An argument that moral reasoning plays a crucial role in moral judgment through episodes of rational reflection that have established patterns for automatic judgment foundation. Rationalists about the psychology of moral judgment argue that moral cognition has a rational foundat…
When Brainstorms was published in 1978, the interdisciplinary field of cognitive science was just emerging. Daniel Dennett was a young scholar who wanted to get philosophers out of their armchairs -- and into conversations with psychologists, linguists, computer scientists. This…
"These essays explore how the rich and sophisticated forms of self-consciousness with which we are most familiar -- as philosophers, psychologists, and as ordinary, reflective individuals -- depend on a complex underpinning that has been largely invisible to students of the self…
"Is color real or illusory, mind independent or mind dependent? Does seeing in color give us a true picture of external reality? The metaphysical debate over color has gone on at least since the seventeenth century. In this book, M. Chirimuuta draws on contemporary perceptual sc…
Brian Haig constructs a broad theory of scientific method, which speaks to the conduct of psychological research. This abductive theory of method (ATOM) portrays research as a bottom-up process comprising two broad phases: the detection of empirical phenomena, and the constructi…
