Rappresentazione ed Elaborazione della Conoscenza Artificial Intelligence, advanced

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Rappresentazione ed Elaborazione della Conoscenza
Artificial Intelligence, advanced

• Stefania Costantini
• Dip. Di Informatica, Univ. degli Studi di LAquila

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About me

• Web page http//costantini.di.univaq.it
• Email stefcost_at_di.univaq.it
• Room 1019 Coppito I
• You are welcome
• - Friday 1000 - 1130

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About this course

• Building intelligent agents
• Formalisms
• Languages
• Implementations
• Knowledge Representation
• Building significant applications

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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)

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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

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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

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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.