PHV241 Logic I: Seminar

Faculty of Arts
Autumn 2023
Extent and Intensity
0/2. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. PhDr. BcA. Jiří Raclavský, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. BcA. Jiří Raclavský, Ph.D.
Department of Philosophy – Faculty of Arts
Supplier department: Department of Philosophy – Faculty of Arts
Timetable
each odd Thursday 12:00–13:40 A11
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Presentation and application of selected knowledge from informal and even formal logic, statistics and probabilistic theory (Bayes), decision theory, and even linguistics to examples of everyday arguments and inferences, which are often logical (or argumentation) fallacies. The topics of the course are usually covered by labels such as 'informal logic', 'logical propaedeutic', 'critical thinking', 'logical thinking', 'argumentation theory', 'fundamentals of probabilistic and statistic reasoning', 'decision theory' and 'fundamentals of scientific reasoning', and partly even 'formal epistemology', '[formal] philosophy of science', 'formal ethics', cf. Course Contents.
Learning outcomes
(a) Critical thinking - assessment of common and even scientific arguments from the viewpoint of theory covered in the course (see Course Aims and Contents).
(b) Educated production of own arguments for both everyday use and use in philosophy.
(c) Knowledge of problems and basic relevant theory e.g. on the development and application of formal or AI models managing inferences in texts.
Syllabus
  • (1) Identification of arguments; deductive vs. inductive arguments.
  • (2) Logical fallacies: formal, informal.
  • (3) Fallacies related to language; definition and reasoning from definitions.
  • (4) Inductive reasoning (statistical and probabilistic) and fallacies.
  • (5) Bayesian reasoning and logic.
  • (6) Decision theory, scientific reasoning.
Literature
    recommended literature
  • Relevantní hesla zejm. Stanford Encyclopedia of Philosophy (např. Fallacies, Interpretations of Probability, Logic and Probability, Inductive Logic, Bayes’ Theorem, Decision Theory, Game theory, Scientific method)
  • HURLEY, Patrick J. A concise introduction to logic. 11th ed., international ed. Australia: Wadsworth Cengage Learning, 2012, xxi, 706. ISBN 9781111185893. info
    not specified
  • PINKER, Steven. Rationality : what it is, why it seems scarce, why it matters. First published. [London]: Penguin Books, 2022, xv, 412. ISBN 9780141989860. info
  • RUSSELL, Stuart J. and Peter NORVIG. Artificial intelligence : a modern approach. Fourth edition. Hoboken: Pearson, 2021, xvii, 1115. ISBN 9780134610993. info
  • YATES, Kit. Matematika pro život. Translated by Marek Pechal. Vydání první. Praha: Kniha Zlin, 2021, 318 stran. ISBN 9788076621121. info
  • KELLEY, David and Debby HUTCHINS. The art of reasoning : an introduction to logic. Firth edititon. New York: W.W. Norton & Company, 2021, xxvii, 663. ISBN 9780393421712. info
  • CHRISTIAN, Brian and Tom GRIFFITHS. Algoritmy pro život : jak využít počítačové algoritmy při každodenním rozhodování. Translated by Filip Drlík. Vydání první. V Brně: Jan Melvil Publishing, 2017, 399 stran. ISBN 9788075550378. URL info
  • SINNOTT-ARMSTRONG, Walter and Robert J. FOGELIN. Understanding arguments : an introduction to informal logic. Ninth edition. Stamford: Cengage Learning, 2015, xvi, 510. ISBN 9781285197364. info
  • RACLAVSKÝ, Jiří. Úvod do logiky: klasická výroková logika ([Introduction to Logic: Classical Propositional Logic). 1. vyd. Brno: Masarykova univerzita, 2015, 238 pp. ISBN 978-80-210-7790-4. URL info
  • SILVER, Nate. Signál a šum : mnoho předpovědí selže, některé ne. Vyd. 1. Litomyšl: Paseka, 2014, 542 s. ISBN 9788074324406. info
  • KAHNEMAN, Daniel. Myšlení - rychlé a pomalé. Translated by Eva Nevrlá. Vydání první. V Brně: Jan Melvil, 2012, 542 stran. ISBN 9788087270424. URL info
  • PRIEST, Graham. Logika. Translated by Petr Hromek. 1. vyd. v českém jazyce. Praha: Dokořán, 2007, 167 s. ISBN 9788073631246. info
  • COHEN, Morris Raphael and Ernest NAGEL. An introduction to logic and scientific method. Safety Harbor: Simon, 2002, xii, 467. ISBN 1931541914. info
  • DEVLIN, Keith J. Jazyk matematiky : jak zviditelnit neviditelné. Praha: Argo, 2002, 343 s. ISBN 8086569098. info
  • WESTON, Anthony. A rulebook for arguments. 3rd ed. Indianapolis: Hackett Publishing Company, 2000, xiv, 87. ISBN 0872205525. info
Teaching methods
Classes with immediate application of acquired knowledge to practical examples of arguments and inferences. Discussions.
Assessment methods
Attendance to classes; active participation; e-tests during the course.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: kombinovaná forma: 16 hodin/semestr.
Teacher's information
http://www.phil.muni.cz/~raclavsky/logika/
All materials occur in IS e-learning system.
The course is also listed under the following terms Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2023/PHV241