Topics covered by this series include principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for AAAI Press.
Edited by Kenneth M. Ford, Clark Glymour and Patrick Hayes
ISBN: 9780262519045
Publisher: AAAI Press
Pub Date: August 4, 1995
Android epistemology is the exploration of the space of possible machines and their capacities for knowledge, beliefs, attitudes, desires, and for action in accord with their mental states.
All of the contributions in this book have a practical slant, showing how AI has been successfully applied to a wide spectrum of domains and tasks in aerospace, banking and finance, biotechnology, emergency...
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence.
Edited by Gregory Piatetsky-Shapiro and William Frawley
ISBN: 9780262660709
Publisher: AAAI Press
Pub Date: December 30, 1991
Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases. It spans many different approaches to discovery,...
Edited by Janice Glasgow, N Hari Narayanan and B. Chandrasekaran
ISBN: 9780262571128
Publisher: AAAI Press
Pub Date: August 4, 1995
foreword by Herbert Simon Diagrammatic reasoning—the understanding of concepts and ideas by the use of diagrams and imagery, as opposed to linguistic or algebraic representations—not only allows...
The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems.
Future software will not merely respond to requests for information, but will anticipate the user's needs and actively seek ways to support the user. These systems will also manage cooperation among...
Case-based reasoning (CBR) is a flourishing paradigm for reasoning and learning in artificial intelligence, with major research efforts and burgeoning applications extending the frontiers of the field....
Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive...
Edited by Kenneth M. Ford, Clark Glymour and Patrick Hayes
ISBN: 9780262562171
Publisher: AAAI Press
Pub Date: March 24, 2006
How to think about minds that aren't like ours: using artificial intelligence and computation theory to study the powers and limits of systems that learn.
