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Tell Me a Story
In this study by an expert on learning and computers, the author argues that artificial intelligence must be based on real human intelligence.
Making Minds Less Well Educated Than Our Own
In the author's words: "This book is an honest attempt to understand what it means to be educated in today's world." His argument is this: No matter how important science and technology seem to industry or government or indeed to the daily life of people, as a society we believe that those educated in literature, history, and other humanities are in some way better informed, more knowing, and somehow more worthy of the descriptor "well educated." This 19th-century conception of the educated mind weighs heavily on our notions on how we educate our young. When we focus on intellectual and scholarly issues in high school as opposed to issues, such as communications, basic psychology, or child r...
Dynamic Memory Revisited
Roger Schank's influential book, Dynamic Memory, described how computers could learn based upon what was known about how people learn. Since that book's publication in 1982, Dr Schank has turned his focus from artificial intelligence to human intelligence. Dynamic Memory Revisited contains the theory of learning presented in the original book, extending it to provide principles for teaching and learning. It includes Dr Schank's important theory of case-based reasoning and assesses the role of stories in human memory. In addition, it covers his ideas on non-conscious learning, indexing, and the cognitive structures that underlie learning by doing. Dynamic Memory Revisited is crucial reading for all who are concerned with education and school reform. It draws attention to how effective learning takes place and provides instruction for developing software that truly helps students learn.
Knowledge Structures
First Published in 1986. This book marks a watershed in cognitive science activity at Yale University. Over the past decade, the cognitive science orientation has become more and more integrated into the mainstream of cognitive psychology, and artificial intelligence workers now feel comfortable thinking about psychological experimentation. This book collects in one place the research work which concentrates on covering topics in the representation, processing, and recall of meaningful verbal .materials. Several of the chapters are first reports of research; others are specially prepared reviews and elaborations of research reported previously. Here it is all together: Studies of scripts, plans, and higher-level knowledge structures; analyses of knowledge structure activation, of autobiographical memory, of the phenomenon of reminding, of the summarization of text, of explanations for events, and more.
Contemplating Minds
One place where the scientific debate has been written for a broad audience is in the book review column of the international journal Artificial Intelligence, which has evolved from simple reviews to a multidisciplinary forum where reviewers and authors debate the latest, often competing, theories of human and artificial intelligence.
Scripts, Plans, Goals, and Understanding
First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based upon an understanding process operating upon information expressed in natural language. This book reflects a convergence of interests at the intersection of psychology and artificial intelligence. What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
The Process of Question Answering
Originally published in 1978, The Process of Question Answering examines a phenomenon that relies on many realms of human cognition: language comprehension, memory retrieval, and language generation. Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing. A theory of human question answering must necessarily entail a theory of human memory organization and theories of the cognitive processes that access and manipulate information in memory. This book describes question answering as a particular task in information processing. The theoretical models described here have been built on a formulation of general theories in natural language processing: theories about language that were developed without the specific problem of question answering in mind. By requiring programmers to be concerned with the precise form of information in memory, and the precise operations manipulating that information, they can uncover significant problems that would otherwise be overlooked. An early insight into artificial intelligence, today this reissue can be enjoyed in its historical context.
Artificial Intelligence
AI is an emerging discipline of computer science. It deals with the concepts and methodologies required for computer to perform an intelligent activity. The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings could. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing the real world uncertain situations etc. It also develops the techniques for learning and understanding, which make the c...
Goal-driven Learning
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings tog...
