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Fundamental Issues in Philosophy of Computing (2017/18)

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Wymagania wstępne

Basic knowledge about the ontology and philosophy and science is needed. Some familiarity with computer science would be helpful.


The aim of the lecture is to convey knowledge about the fundamental (ontological) issues connected with computer science.

Treści kształcenia

a. Ontological issues in science
b. Layered reality
c. Ontological concepts of information
d. Emergence and Fundamentality in a Pancomputationalist Universe (M. Pexton)
e. Software and ontology (T.R. Colburn)

Efekty kształcenia

Knowledge: a student knows basic terms and concepts typical for philosophy of computer science, identifies some of its main fundamental (ontological) issues. (E_1)
Skills: a student can refer accurately to views and reasonings of modern philosophers in one's own argumentations. (E_2)
Attitudes and transferrable (generic) competencies: a student is aware of existence of philosophical (ontological) problems in computer science and is aware of the impact of computer science on some social and cultural processes. (E_3)

Metody dydaktyczne

(M_1) lectures with the multimedia presentations and discussions

Sposoby sprawdzania i warunki zaliczenia

(W_1) a student will be examined orally (English or Polish) on a base of a set of open questions regarding the course's content. There is a possibility of writing a final paper instead of the oral exam. Additionally, student's activity during the class may raise one's grade.

Lektury podstawowe

a. Krzanowski R., Towards a Formal Ontology of Information. Selected Ideas of K. Turek, „Zagadnienia Filozoficzne w Nauce”, nr 61, 2016, ss. 23–52. (available at http://zfn.edu.pl/index.php/zfn/article/view/131 )
b. Krzanowski R., Minimal Information Structual Realism, „Zagadnienia Filozoficzne w Nauce”, nr 63, 2017 (to be published at http://zfn.edu.pl )
c. Pexton M., Emergence and Fundamentality in a Pancomputationalist Universe, „Minds and Machines”, vol. 25, 4, 2015, pp. 301–320.
d. Colburn Timothy R. , Software, abstraction and ontology, Monist 82(1) (1999), pp. 3-19.

Additional lectures for ERASMUS' students:
a. William J. Rapaport, Philosophy of Computer Science, http://www.cse.buffalo.edu/~rapaport/Papers/phics.pdf
b. Ammon H. Eden, Three paradigms of computer science, Mind and Machines 17 (2007), pp. 135-167.
c. Alan M. Turing, On computable numbers, with an application to the Entscheidungsproblem [selected parts] http://www.comlab.ox.ac.uk/activities/ieg/e-library/sources/tp2-ie.pdf
d. Alan M. Turing, Computer Machinery and Intelligence, Mind, 59 (1950), pp. 433-460.
e. Peter Suber, What is software?, Journal of Speculative Philosophy, 2 (1988), pp. 89-119.