Logical methods in cognitive science

General data

Course ID:	3501-LMCS17-S
Erasmus code / ISCED:	08.1 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0223) Philosophy and ethics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Logical methods in cognitive science
Name in Polish:	Logical methods in cognitive science
Organizational unit:	Institute of Philosophy
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	elective seminars
Prerequisites (description):	This is a monographic course discussing classic themes and recent developments in computational cognitive modeling. There are no prerequisites but it is mostly directed towards advance MA and PhD students who are interested in doing research in logic, language, computations, and cognition. The course is planned to be self-contained and self-explanatory; reading the suggested bibliography prior to the course is not expected of the participants; questions and discussion are welcome during the lectures. The teaching materials (slides and papers) will be published on the course website.
Mode:	Blended learning
Short description:	The seminar aims at giving an overview of the recent trends and methods in computational cognitive modeling. We will focus on methodological and philosophical aspects of cognitive computational modeling, and its relations to logic, language and information processing.
Full description:	(in Polish) Cognitive science research—driven by two forces: psychological (experimental) involvement and explicit theoretical modeling (often computational)—has become extremely influential in recent years. Unfortunately, due to a number of historical coincidences logic has been separated from the psychological research, leading to many mutual misconceptions among psychologists and logicians. Only since the 1960s, together with the growth of cognitive science the two disciplines have started to interact more and more. Today, we finally observe an increase in the collaborative effort between logicians, computer scientists, linguists, cognitive scientists, and psychologists. This is an exciting new challenge and an opportunity both for logic and cognitive science. The seminar aims at giving an overview of the recent trends and methods in this emerging research area. I will jump start the course by giving a few lectures introducing various methodologies of computational cognitive modeling, mostly following, Part II of The Cambridge Handbook of Computational Psychology edited by Ron Sun. Then, in a more seminar manner, we will discuss a collection of articles from 2015 issue of Topics in Cognitive Science `Thirty years after Marr’s Vision: Levels of analysis in Cognitive Science’. In the third part of course we focus on individual research proposals.
Bibliography:	(in Polish) -The Cambridge Handbook of Computational Psychology edited by Ron Sun -2015 issue of Topics in Cognitive Science `Thirty years after Marr’s Vision: Levels of analysis in Cognitive Science’. - Alistair Isaac, Jakub Szymanik, and Rineke Verbrugge. Logic and complexity in cognitive science, Johan van Benthem on Logical and Informational Dynamics, A. Baltag and S. Smets (Eds.), Outstanding Contributions to Logic, Vol. 5, 2014, pp. 787-824.
Learning outcomes:	(in Polish) 1. To gain knowledge of the practices and methodologies of state-of-the-art research at the intersection of logic and cognitive science. Which new issues can be raised and answered by collaboration between logicians and cognitive scientists? 2. To acquire methodological expertise and the theoretical know-how in order to be able to take part in collaborative projects involving logicians, linguists, computer scientists and cognitive scientists. 3. To learn how to critically read interdisciplinary papers and pursue interdisciplinary research projects (from formalization, through cognitive computational modeling to experimental work, and back). 4. To study recent literature combining logical methods with cognitive science research.
Assessment methods and assessment criteria:	(in Polish) Students will be asked to write a short (max. 2500 words) interdisciplinary paper (or research project) by June, 15.. This final paper will account for 50% of the overall grade. The remaining 50% will correspond to: a short test (10%), one paper presentation (30%), a research project presentation (10%), and the active participation in the discussions of readings (including writing a short summary of some other papers and being responsible for a discussion of another papers)(+/-). Guidelines for grading the papers: language, structure + continuity, creativity, content, problem posing + conclusiveness, references. Guidelines for grading the presentations: subject knowledge and understanding, organization, clarity, quality of slides, presentation skills, and overall impression.

This course is not currently offered.

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