UIN1009 Artificial Intelligence

Faculty of Philosophy and Science in Opava
Summer 2020
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Sosík, Dr. (lecturer)
Guaranteed by
doc. Ing. Petr Sosík, Dr.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Tue 9:45–11:20 B2
Prerequisites (in Czech)
Tento předmět je vhodný pouze pro studenty, kteří již absolvovali předmět Úvod do logiky.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
The course provides a basic overview of goals, methods and techniques of the contemporary artificial intelligence (AI). The explanation is centered at the view of an intelligent agent which perceives and acts in a certain environment. Due to restricted scope of the course we focus on rational behaviour of the agent, i.e., how to reach its goals most efficiently. Both agents' capabilities and properties of the environment must be considered. An introduction to rational agents construction is followed by techniques of the state space search, including a multi-agent environment and basic game strategies. The course is concluded by basics of machine learning, including artificial neural networks.
Syllabus
  • 1. Introduction, history,artificial intelligence evaluation and applications.
    2. Intelligent agents: reactivity and deliberation, the subsumption architecture, model-based agents.
    3. State space search, informed and uninformed strategies, heuristic functions.
    4. Local and online search.
    5. Constraints satisfaction problems and search.
    6. State space in games, strategies and adversarial search.
    7. Knowledge representation for intelligent agents.
    8. Basics of machine learning, decision trees, regression.
    9. Artificial neural networks.
    10. Advanced AI topics - an overview.
Literature
    recommended literature
  • MAŘÍK, V., ŠTĚPÁNKOVÁ, O., LAŽANSKÝ, J. a kol. Umělá inteligence 1-6. Academia, Praha, 2013. ISBN 80-200-0496-3. info
  • RUSSELL, S.J., NORVIG, P. Artificial Intelligence: A Modern Approach (3rd Ed.). Prentice Hall, 2010. ISBN 978-0-13-604259-4. URL info
  • KELEMEN, J. a kol. Základy umelej inteligencie. Bratislava, ALFA, 1992. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 1994, Summer 1995, Summer 1996, Summer 1997, Summer 1998, Summer 1999, Summer 2000, Summer 2001, Summer 2002, Summer 2003, Summer 2004, Summer 2005, Summer 2006, Summer 2007, Summer 2008, Summer 2009, Summer 2010, Summer 2011, Summer 2012, Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2021, Summer 2022, Summer 2023.
  • Enrolment Statistics (Summer 2020, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2020/UIN1009