This book describes, from both practical and theoretical perspectives, an AI technology for supporting sound clinical decision making and safe patient management.Computer science and artificial intelligence are increasingly used in the hazardous and uncertain realms of medical decision making, where small faults or errors can spell human catastrophe. This book describes, from both practical and theoretical perspectives, an AI technology for supporting sound clinical decision making and safe patient management. The technology combines techniques from conventional software engineering with a systematic method for building intelligent agents. Although the focus is on medicine, many of the ideas can be applied to I systems in other hazardous settings. The book also covers a number of general AI problems, including knowledge representation and expertise modeling, reasoning and decision making under uncertainty, planning and scheduling, and the design and implementation of intelligent agents. The book, written in an informal style, begins with the medical background and motivations, technical challenges, and proposed solutions. It then turns to a wide-ranging discussion of intelligent and autonomous agents, with particular reference to safety and hazard management. The final section provides a detailed discussion of the knowledge representation and other aspects of the agent model developed in the book, along with a formal logical semantics for the language.

Safe and Sound: Artificial Intelligence in Hazardous Applications

Fox, John

Das, Subrata Kumar

American Association for Artificial Intelligence

Health, Fitness & Dieting

Aaai Pr

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.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. Knowledge Representation: knowledge-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning. Machine Architectures and Computer Languages for AI. Machine Learning. Natural Language: generation and understanding; syntax, speech, dialogue. Perception and Signal Understanding: vision. Philosophical Foundations. Robotics. User Interfaces.

AAAI-90: Proceedings of the 8th National Conference on Artificial Intelligence

Computers & Technology

American Association for Artificial Intelligence (AAAI)

Computer Science

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.August 4-8, 1996, Portland, OregonAAAI '96 provides a broad forum for information exchange and interaction among researchers working in different subdisciplines, in different research paradigms, and in different stages of research in artificial intelligence. Topics cover principles underlying cognition, perception and action; design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analysis of tasks and domains in which intelligent systems perform. Included are contributions that describe theoretical, empirical, or experimental results; represent areas of AI that may have been underrepresented in recent conferences; present promising new research concepts, techniques, or perspectives; or discuss issues that cross traditional subdisciplinary boundaries. Two-volume setDistributed for the AAAI Press

AAAI-96: Proceedings of the 13th National Conference on Artificial Intelligence

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.The annual AAAI National Conference and Innovative Applications of Artificial Intelligence Conference provide a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. The technical papers published in this proceedings were selected by a rigorous, double-blind review process. The National Conference papers cover a myriad of topics, including agents, artificial intelligence and the world wide web, cognitive systems, constraint satisfaction problems, knowledge acquisition, knowledge representation, learning, model-based reasoning, natural language and information retrieval, planning, robotics, satisfiability, scheduling, search, tractable reasoning, and vision. The Innovative Applications Conference papers feature deployed and emerging applications. These papers will be of special benefit to AI applications developers. In addition, abstracts from the Invited talks, Intelligent Systems Demonstrations, Robotic Competition and Exhibition, SIGART/AAAI Doctoral Consortium, and Student programs are also included in this proceedings.

AAAI-99: Proceedings of the Sixteenth National Conference on Artificial Intelligence

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.

AAAI '02: Proceedings of the Eighteenth National Conference on Artificial Intelligence and the Fourteenth Annual Conference on Innovative Applications of Artificial Intelligence

Proceedings

Amer Assn for Artificial

Proceedings of the Twenty-third AAAI Conference on Artificial Intelligence and the Twentieth Innovative Applications of Artificial Intelligence Conference 13-17 July 2008, Chicago, Illinois

AAAI Press

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Books by American Association for Artificial Intelligence