Presentation on theme: "Rappresentazione ed Elaborazione della Conoscenza Artificial Intelligence, advanced Stefania Costantini Dip. Di Informatica, Univ. degli Studi di LAquila."— Presentation transcript:
Rappresentazione ed Elaborazione della Conoscenza Artificial Intelligence, advanced Stefania Costantini Dip. Di Informatica, Univ. degli Studi di LAquila
About me Web page: http://costantini.di.univaq.it http://costantini.di.univaq.it Email: firstname.lastname@example.org@di.univaq.it Room: 1019 Coppito I You are welcome: - Friday 10:00 - 11:30
About this course Building intelligent agents –Formalisms –Languages –Implementations –Knowledge Representation –Building significant applications
About this course Based on logic, and logic programming Course Structure: –Lectures –Lab activities and assignments: Solving exercises on paper Learning programming languages Implementing programs Developing a project (if you take 12 credits)
Textbook D. Poole, A. Mackworth and R. Goebel: Computational Intelligence, a logical approach, Oxford Univ. Press Web site of the book: –http:// www.cs.ubc.ca/spider/poole/ci.html –Online slides and exercises for the book Additional material: online slides
Syllabus Introduction: what is an agent Datalog and Prolog Answer Set Programming DALI language for multi-agent systems Building Agents: –Assumption-based Reasoning –Using uncertain knowledge –Learning Building Multi-agent systems: communication
Two possibilities for Students Artificial Intelligence II, 6 credits, also undergraduate (Laurea Base) Knowledge Representation and Reasoning, 12 credits, graduate (Laurea Specialistica), includes a large project.