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 us to gain insight into the way we think, but is a potential base for constructing representations of diagrammatic information that can be stored and processed by computers.Diagrammatic Reasoning brings together recent investigations into the cognitive, the logical, and particularly the computational characteristics of diagrammatic representations and the reasoning that can be done wit
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 bibliography, and clear presentation of the material, Computation and Intelligence will be a useful adjunct to any course in AI as well as a handy reference for professionals in the field.The book is divided into five parts, each reflecting the stages of development of AI.
The first international conference on multiagent systems is organized as a joint effort of the North American Distributed Artificial Intelligence community, the Japanese Multiagent and Cooperative Computing community, and the European Modeling Autonomous Agents in a Multiagent World community, with support from AAAI and sanctioned by ECCAI. The Proceedings cover a broad spectrum of perspectives including artificial life, communications issues, and negotiation strategies.
The increased sophistication and availability of massively parallel supercomputers has had two major impacts on research in artificial intelligence, both of which are addressed in this collection of exciting new AI theories and experiments. Massively parallel computers have been used to push forward research in traditional AI topics such as vision, search, and speech.
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.Topics include: The principles underlying cognition, perception, and action in humans' and machines. The design, application, and evaluation of AI algorithms and intelligent systems. The analysis of tasks and domains in which intelligent systems perform.
This collection of original contributions reports on key advances in intelligent (knowledge-based) user interfaces that exploit multiple media—text, graphics, maps—and multiple modalities—visual, auditory, gestural—to facilitate human-computer interaction. Chapters are grouped into three sections that address automated presentation design, intelligent multimedia interfaces, and architectural and theoretical issues.
The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. 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.
The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H.
This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity.Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs.
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, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory, and fuzzy 1 sets.The rapid growth in the number and size of databases creates a need for tools and techniques for intelligent data understanding.
The contributions in Automating Software Design provide substantial evidence that AI technology can meet the requirements of the large potential market that will exist for knowledge-based software engineering at the turn of the century. They are divided into sections covering knowledge-based tools for large software systems, knowledge-based specification acquisition, domain-oriented program synthesis, knowledge compilation, knowledge-based program optimization, formal derivation systems, and cognitive and planning approaches to software design.Michael Lowry is at the Kestrel Institute.
July 15-19, 1991, Anaheim, CaliforniaTopics include: Communication and Cooperation. Al and Education. User Interfaces. Natural Language. Distributed Al. Reasoning about Physical Systems. Perception, Planning, and Robotics. Machine Learning.
Books in the Innovative Applications of Artificial Intelligence (IAAI) series report on the nature and range of real-world problems that Al technology can address successfully today. The 22 applications described in this volume range from support for existing economic infrastructures such as monitoring foreign exchange transactions, assisting in recruiting industrial personnel, or screening news stories, to the creation of tomorrow's infrastructure elements such as software validation or planning for tunnel construction.Alain Rappaport is President of Neuron Data.
AI and Education. Automated Reasoning: automatic programming, planning and scheduling, rule-based reasoning, search, theorem proving, uncertainty, truth-maintenance systems, constraint-based systems. Cognitive Modeling. Commonsense Reasoning: qualitative reasoning, design, diagnosis, simulation. Impacts of AI Technology: organizational, economic, and social implications. Knowledge Acquisition and Expert System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge.