Automated reasoning (2013/2014)

Course code
4S02796
Name of lecturer
Maria Paola Bonacina
Coordinator
Maria Paola Bonacina
Number of ECTS credits allocated
6
Academic sector
INF/01 - INFORMATICS
Language of instruction
Italian
Location
VERONA
Period
I semestre dal Oct 1, 2013 al Jan 31, 2014.
Web page
http://profs.sci.univr.it/~bonacina/teachingUniVR/RA.html

Lesson timetable

I semestre
Day Time Type Place Note
Monday 11:30 AM - 1:30 PM lesson Lecture Hall G  
Thursday 2:30 PM - 4:30 PM lesson Lecture Hall C  

Learning outcomes

The class presents problems, methods and systems in automated reasoning. The treatment combines theoretical foundations with algorithmic and practical issues, emphasizing mechanization throughout. The student learns how to design, apply, and evaluate methods and systems for automated reasoning, with attention to applications in analysis, verification, and synthesis of systems, and artificial intelligence.

Syllabus

Foundations of automated reasoning: theorem proving and model building. Inference systems, such as: instance-based (e.g., hyper-linking), ordering-based (e.g., completion), and subgoal-reduction based (e.g., model elimination). Search plans. Algorithmic reasoning in specific fields, such as: decision procedures for satisfiability modulo theories (SMT); constraint-based reasoning. Design and use of general-purpose or special-purpose reasoners.

Reference books
Author Title Publisher Year ISBN Note
Ricardo Caferra, Alexander Leitsch, Nicolas Peltier Automated Model Building (Edizione 1) Kluwer Academic Publishers 2004 1-4020-265
Daniel Kroening, Ofer Strichman Decision Procedures. An algorithmic point of view Springer 2008 978-3-540-74104-6
Chin-Liang Chang, Richard Char-Tung Lee Symbolic Logic and Mechanical Theorem Proving (Edizione 1) Academic Press 1973 0121703509
Alexander Leitsch The Resolution Calculus (Edizione 1) Springer 1997 3540618821
Martin Davis The Universal Computer. The Road from Leibniz to Turing. Turing Centenary Edition. Taylor and Francis Group 2012 978-1-4665-0519-3

Assessment methods and criteria

The grade is given by 30% C1 + 30% C2 + 40% P, where C1 is the midterm exam, C2 is the final exam and P is a project. The grade thus generated is registered at the first exam session in February.
Alternatively, the grade is given by 100% E, where E is a written test, hard enough to match the difficulty of C1 + C2 + P.
Registration: all grades will be registered.
Withdrawal: Students may withdraw by informing the instructor.
Cheating: All tests and projects are individual work. Cheating is strictly forbidden and will determine lowering of grades.