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 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.
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.
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.
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.