* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Tuesday part A: Lecture - Computer Science
Survey
Document related concepts
Ecological interface design wikipedia , lookup
Embodied cognition wikipedia , lookup
Embodied language processing wikipedia , lookup
Embodied cognitive science wikipedia , lookup
Personal knowledge base wikipedia , lookup
Wizard of Oz experiment wikipedia , lookup
Existential risk from artificial general intelligence wikipedia , lookup
Computer vision wikipedia , lookup
Computer Go wikipedia , lookup
Computer Olympiad wikipedia , lookup
Ethics of artificial intelligence wikipedia , lookup
Transcript
Introduction to AI & AI Principles (Semester 1) WEEK 3 – Tuesday part A (2008/09) John Barnden Professor of Artificial Intelligence School of Computer Science University of Birmingham, UK Notes on Last Wed’s Exercises … … are on the website … Group Exercise on emotions Individual Exercise on “SMOKE FREE ZONE” continuing with … WHY IS EVERYDAY AI CHALLENGING? Individual Exercise (5 minutes) at Birmingham airport: EU Nationals this way Other passports this way How to interpret this? What general knowledge needed? Three Touching Tales John got to his front door, but realized he didn’t have his key. Mary went to a restaurant for lunch. Afterwards she didn’t have enough money to take a taxi. Mary went to a restaurant for lunch. Afterwards she didn’t have enough money to buy the car she wanted. Some Lessons from the Above Role of context: co-text discourse location, time & participants characteristics of the environment, the participants, the entities talked about. Role of extensive, diverse knowledge of the world. Efficient, appropriate accessing of that knowledge. Role of inference, to join things up. (From earlier examples) Role of conjectured goals of the other participants in a conversation. Expert versus Everyday/Common-Sense Expert AI: e.g., Expert systems for medical diagnosis, etc. Chess programs Mathematical theorem provers Aircraft movement planning systems Specialized manufacturing robots Everyday/Common-Sense AI: e.g., Language processing, for no specific domain Common-sense reasoning about the everyday world Seeing the everyday world THREE “CASE STUDIES” for the module, illustrating a broad range of AI themes (vision, moving around, planning, language, representation, learning, …) The Three Case Studies Making Hot Drinks for some Friends Going on a Shopping Trip Tackling Crime (etc.)