Starting from the academic year 2016/17 the new course Artificial Intelligence (12 ECTS)
is replacing the earlier courses on Artificial Intelligence 1 and 2 for the students of the master
in Artificial Intelligence and Robotics. Artificial Intelligence 1 (6 ECTS credits) corresponds to
Section 1 of Artificial Intelligence (12 ECTS) and is offered to the students of other master courses.

Students of academic years 2015/16 can refer to the web sites of previous courses
in their curriculum to verify exam specifications and syllabus.

Schedule

Section 1 (starting Monday 24th, 2018)

Monday 10:00 -- 13:00, ClassRoom 38, Via Eudossiana

Tuesday 10:00 -- 12:00, ClassRoom 38, Via Eudossiana

Section 2 (starting Wed 26th, 2018)

Wednesday 14:00 -- 16:00, ClassRoom B2, Via Ariosto

Thursday 16:00 -- 19:00, ClassRoom B2, Via Ariosto

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Exam dates

Book through Infostud (please email the teacher in case there is no registration open).
The exam periods are:

January 2019

February 2019

March-April 2019 (for old students registered in 2016 or earlier)

June 2019

July 2019

September 2019

November 2019 (for old students registered in 2016 or earlier)

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Plan of the Lectures (Section 1)

• 
  Artificial Intelligence and Intelligent Agents:
  Goals of AI, Short History, Intelligent Agents, Logical agents, Learning agents
  
• 
  Automated Problem Solving:
  Uninformed search, Heuristic Search The algorithm A*, Local Search,
  Constraints
  Classical Planning, Partial Order Planning, Hierarchical Planning,
  
• 
  Knowledge Representation and Reasoning:
  Propositional Logic, First Order Logic,
  Logic Programming (Basics)
  Non monotonic Reasoning, Semantic Networks and Frames
  

Plan of the Lectures (Section 2)

• 
  Multi-agent systems:
  Basics of MAS, Games, Working together: cooperation and teamwork,
  Distributed Constraint Optimization, MAS Applications and Multi Robot
  Systems
• Logic Programming:
  Search and other AI Classics, Meta-programming, NAF, Cut, Constraint programming
  
• Natural language Processing

• Probabilistic Reasoning
  
• Markov Decision Processes
  
• Reinforcement Learning