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Philosophy of Predictive Processing

Informacje ogólne

Kod przedmiotu: WF-FI-PIEKARSKI-ER Kod Erasmus / ISCED: 08.1 / (brak danych)
Nazwa przedmiotu: Philosophy of Predictive Processing
Jednostka: Instytut Filozofii
Grupy: Grupa przedmiotów - oferta Erasmus
Punkty ECTS i inne: 6.00 (zmienne w czasie)
zobacz reguły punktacji
Język prowadzenia: angielski
Poziom przedmiotu:

zaawansowany

Symbol/Symbole efektów kształcenia:

FI2_W09

FI2_W10

FI2_U03

FI2_U06

FI2_U13

FI2_U19

FI2_K01

Skrócony opis:

The aim of the classes is the general introduction to the selected philosophical problems of the theory of predictive coding. According to this theory sensory cognition is built on the basis of hypotheses (predictions) related to the causal structure of the world. These hypotheses provide a top-down way of organising bottom-up sensory input originating with the senses. They are conditioned, on the one hand, by the internal world model of a given cognitive system, and on the other, by changeable information coming from the world.

Pełny opis:

The aim of the classes is the general introduction to the selected philosophical problems of the theory of predictive coding. According to this theory sensory cognition is built on the basis of hypotheses (predictions) related to the causal structure of the world. These hypotheses provide a top-down way of organising bottom-up sensory input originating with the senses. They are conditioned, on the one hand, by the internal world model of a given cognitive system, and on the other, by changeable information coming from the world. The two layers are mutually restrictive and dynamically interdependent (Hohwy 2013: 69-70). Drawing upon the knowledge about causal relations existing in the world, the mind makes hypotheses about the probability of certain events. It can thus reduce the so-called predictive error. In the words of Andy Clark: perception is action-oriented predictive processing. The observation is important because it allows us to treat perception as an element in our psycho-physical structure which helps explain the dynamics and involvement of a given organism in a specific environment.

Literatura:

• Bruineberg, J. (2017). Active Inference and the Primacy of the ‘I Can’. In T. Metzinger & W. Wiese (Eds.). Philosophy and Predictive Processing. Frankfurt am Main: MIND Group. doi: 10.155027/9783958573062.

• Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36, 181–204. DOI:10.1017/S0140525X12000477.

• Clark, A. (2016). Surfing Uncertainty. Prediction, Action and the Embodied Mind. Oxford: Oxford University Press.

• Friston, K. J. (2010). The free-energy principle: A unified brain theory? Nature Neuroscience, 11, 127–138.

• Friston K. J., Daunizeau J. et al.(2010). Action and behavior: a free-energy formulation. Biological Cybernetics 102(3), 227-260.

• Gładziejewski, P. (2016). Predictive coding and representationalism. Synthese 193, 559–582. DOI 10.1007/s11229-015-0762-9.

• Hohwy, J. (2013). The predictive mind. Oxford: Oxford University Press. Hohwy, J. (2016).

• Seth A. K. (2015) The cybernetic Bayesian brain. In T. K. Metzinger & J. M. Windt (Eds.) Open Mind. Frankfurt am Main: MIND Group. https://dx.doi. org/10.15502/9783958570108.

• Wiese, W., Metzinger T. (2017). Vanilla PP for Philosophers: A Primer on Predictive Processing. In T. Metzinger & W. Wiese (Eds.). Philosophy and Predictive Processing. Frankfurt am Main: MIND Group. doi: 10.15502/9783958573024.

Efekty kształcenia:

• Knowledge: student knows the basis of the theory of predictive coding, its terminology and concepts. He recognizes the basic philosophical problems concerning the theory of predictive coding. He understands the specific relation between philosophy and cognitive science.

• Abilities: student single-handedly reads and understands the more philosophical articles concerning theory of predictive coding.

• Expertise: student efficiently organizes his work.

Metody i kryteria oceniania:

• 2 - student doesn't know the foundations of the theory of predictive coding. He doesn't recognize the most important thesis and problems concerning this conception.

• 3 - student badly knows the foundations of the theory of predictive coding. He has a problem with recognize the most important thesis and problems concerning this conception.

• 4 - student knows the foundations of the theory of predictive coding. He recognizes the most important thesis and problems concerning this conception.

• 5 - student very good knows the foundations of the theory of predictive coding. He recognizes the most important thesis and problems concerning this conception, and he can use this conception into philosophical discussion.

Exam - Oral Exam

Praktyki zawodowe:

n/a

Zajęcia w cyklu "Semestr zimowy 2017/18" (w trakcie)

Okres: 2017-10-01 - 2018-01-31
Wybrany podział planu:


powiększ
zobacz plan zajęć
Typ zajęć: Wykład monograficzny, 30 godzin, 20 miejsc więcej informacji
Koordynatorzy: Michał Piekarski, Agnieszka Szymańska, Adam Świeżyński, Andrzej Waleszczyński
Prowadzący grup: Michał Piekarski, Agnieszka Szymańska, Adam Świeżyński, Andrzej Waleszczyński
Lista studentów: (nie masz dostępu)
Zaliczenie: Egzaminacyjny
E-Learning:

E-Learning (pełny kurs) z podziałem na grupy

Typ przedmiotu:

fakultatywny dowolnego wyboru

Skrócony opis:

The aim of the classes is the general introduction to the selected philosophical problems of the theory of predictive coding. According to this theory sensory cognition is built on the basis of hypotheses (predictions) related to the causal structure of the world. These hypotheses provide a top-down way of organising bottom-up sensory input originating with the senses. They are conditioned, on the one hand, by the internal world model of a given cognitive system, and on the other, by changeable information coming from the world.

Pełny opis:

The aim of the classes is the general introduction to the selected philosophical problems of the theory of predictive coding. According to this theory sensory cognition is built on the basis of hypotheses (predictions) related to the causal structure of the world. These hypotheses provide a top-down way of organising bottom-up sensory input originating with the senses. They are conditioned, on the one hand, by the internal world model of a given cognitive system, and on the other, by changeable information coming from the world. The two layers are mutually restrictive and dynamically interdependent (Hohwy 2013: 69-70). Drawing upon the knowledge about causal relations existing in the world, the mind makes hypotheses about the probability of certain events. It can thus reduce the so-called predictive error. In the words of Andy Clark: perception is action-oriented predictive processing. The observation is important because it allows us to treat perception as an element in our psycho-physical structure which helps explain the dynamics and involvement of a given organism in a specific environment.

Literatura:

• Bruineberg, J. (2017). Active Inference and the Primacy of the ‘I Can’. In T. Metzinger & W. Wiese (Eds.). Philosophy and Predictive Processing. Frankfurt am Main: MIND Group. doi: 10.155027/9783958573062.

• Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36, 181–204. DOI:10.1017/S0140525X12000477.

• Clark, A. (2016). Surfing Uncertainty. Prediction, Action and the Embodied Mind. Oxford: Oxford University Press.

• Friston, K. J. (2010). The free-energy principle: A unified brain theory? Nature Neuroscience, 11, 127–138.

• Friston K. J., Daunizeau J. et al.(2010). Action and behavior: a free-energy formulation. Biological Cybernetics 102(3), 227-260.

• Gładziejewski, P. (2016). Predictive coding and representationalism. Synthese 193, 559–582. DOI 10.1007/s11229-015-0762-9.

• Hohwy, J. (2013). The predictive mind. Oxford: Oxford University Press. Hohwy, J. (2016).

• Seth A. K. (2015) The cybernetic Bayesian brain. In T. K. Metzinger & J. M. Windt (Eds.) Open Mind. Frankfurt am Main: MIND Group. https://dx.doi. org/10.15502/9783958570108.

• Wiese, W., Metzinger T. (2017). Vanilla PP for Philosophers: A Primer on Predictive Processing. In T. Metzinger & W. Wiese (Eds.). Philosophy and Predictive Processing. Frankfurt am Main: MIND Group. doi: 10.15502/9783958573024.

Uwagi:

Basic knowledge in the philosophy of mind and the epistemology.

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie.