Synopses & Reviews
< b=""> AI and Education. <> < b=""> Automated Reasoning<> automatic programming, planning and scheduling, rule-based reasoning, search, theorem proving, uncertainty, truth-maintenance systems, constraint-based systems. < b=""> Cognitive Modeling. Commonsense Reasoning: <> qualitative reasoning, design, diagnosis, simulation. < b=""> Impacts of AI Technology: <> organizational, economic, and social implications. < b=""> Knowledge Acquisition and Expert System Design Methodologies: <> techniques for designing expert systems and acquiring domain knowledge. < b=""> Knowledge Representation: <> knowledge-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning.< b=""> Machine Architectures and Computer Languages for AI. Machine Learning. Natural Language: <> generation and understanding; syntax, speech, dialogue. < b=""> Perception and Signal Understanding: <> vision. < b=""> Philosophical Foundations. Robotics. User Interfaces.<>
Synopsis
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
Synopsis
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.
Synopsis
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.