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.
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.
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 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.
Topics 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.