Преподавател(и):

доц. Милена Мутафчиева  д-р
доц. Георги Петков  д-р
доц. Пенка Христова  д-р
гл. ас. Иван Ванков  д-р

Описание на курса:

Компетенции:

Students who complete this course:

1) will know:

• To know the main empirical fact in the field of analogies and relational reasoning;

• To know the main models and theories in the field;

• To know the main debates in the field.

2) will be able to:

• To discuss and critically to think about the existing theoretical account of analogies and relational reasoning;

• To formulate important for the cognition questions and experimental hypothesis from the standpoint of relational reasoning.

Предварителни изисквания:
• Knowledge in research methods, cognitive psychology and statistics

Форми на провеждане:
Редовен

Учебни форми:
Лекция

Език, на който се води курса:
Английски

Теми, които се разглеждат в курса:

1. What is analogy-making? Why is it important? Examples of Analogy. Types of Analogy. Basic components of Analogy-Making.
2. Representing structure in mind, brain and machine
3. The (role-filler) binding problem
4. Connectionist modelling of analogy-making
5. Generalization and concept abstraction by structure mapping
6. Analogy-making and perceptions
7. Analogy-making and other cognitive processes (memory, judgment, and decision-making)
8. Development of analogy-making during childhood
9. Problem solving by analogy
10. Spontaneous analogies.
11. Analogies and cognitive load
12. Cross-cultural differences in analogy-making processes
13. Emotions and analogy-making
14. Presentation of experimental designs
15. Presentation of experimental designs

Литература по темите:

BOOKS

• Holyoak, K., Gentner, D., Kokinov, B. (2001). The Place of Analogy in Cognition. In: Gentner, D., Holyoak, K., Kokinov, B., eds. The Analogical Mind: Perspectives from Cognitive Science. Cambridge, MA: MIT Press.

PAPERS

• Blanchette, I., & Dunbar, K. (2002). Representational change and analogy: How analogical inferences alter target representations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(4), 672

• Day, S. & Gentner, D. (2007). Nonintentional analogical inference in text comprehension. Memory and Cognition, 35, 39-49.

• Doumas, L. A. A., Hummel, J. E., and Sandhofer, C. M. (2008). A theory of the discovery and predication of relational concepts. Psychological Review, 115(1).

• Feldman, V., & Kokinov, B. (2009). Analogical Episodes are More Likely to be Blended than Superficially Similar Ones. In Proceedings of the 31st Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum.

• Goldwater, M. B., Don, H. J., Krusche, M. J., & Livesey, E. J. (2018). Relational discovery in category learning. Journal of Experimental Psychology: General, 147(1), 1.

• Holyoak, K. J. (2012). Analogy and relational reasoning. In K. J. Holyoak & R. G. Morrison (Eds.), The Oxford handbook of thinking and reasoning (pp. 234-259). New York: Oxford University Press.

• Hofstadter, D. R., & Mitchell, M. (1994). The copycat project: A model of mental fluidity and analogy-making. Advances in connectionist and neural computation theory, 2(31-112), 29-30.

• Hristova, P. (2017) Can we think unconsciously via analogy?, In Radman Z. (Eds.) Before Consciousness: In search of the Fundamentals of Mind, UK: Imprint Academic, 206–225,.

• Hummel, J. E. (2011). Getting symbols out of a neural architecture. Connection Science, 23, 109-118.

• Kuehne, S., Forbus, K., Gentner, D., and Quinn, B. (2000). SEQL - category learning as progressive abstraction using structure mapping. In Gleitman, L. and Joshi, A., editors, Proceedings of the 22nd Annual Conference of the Cognitive Science Society, pages 770-775, Mahwah, NJ. Lawrence Erlbaum.

• Kurtz, K. J., & Honke, G. (2019). Sorting out the problem of inert knowledge: Category construction to promote spontaneous transfer. Journal of Experimental Psychology: Learning, Memory, and Cognition.

• Leech, R., Mareschal, D., and Cooper, R. P. (2008). Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill. Behavioral and Brain Sciences, 31(04):357–378.

• Lu, Hongjing, Wu, Y. N., & Holyoak, K. J. (2019). Emergence of analogy from relation learning. Proceedings of the National Academy of Sciences, 116(10), 4176–4181.

• O'Reilly, R.C. & Busby, R.S. (2002). Generalizable relational binding from coarse-coded distributed representations. Advances in Neural Information Processing Systems (NIPS) 14,T.G. Dietterich, S. Becker & Z. Ghahramani (Eds), Cambridge, MA; MIT Press

Средства за оценяване:

УЧАСТИЕ В СЕМИНАРИ: 30 %

ЕСЕ: 70 %