Učni načrt predmeta

Predmet:

Računalniška ustvarjalnost

Course:

Computational Creativity

Študijski program in stopnja / Study programme and level	Študijska smer / Study field	Letnik / Academic year	Semester / Semester
Informacijske in komunikacijske tehnologije, 3. stopnja	Tehnologije znanja	1	1
Information and Communication Technologies, 3rd cycle	Knowledge Technologies	1	1

Vrsta predmeta / Course type

Izbirni / Elective

Univerzitetna koda predmeta / University course code:

IKT3-721

Predavanja Lectures	Seminar Seminar	Vaje Tutorial	Klinične vaje work	Druge oblike študija	Samost. delo Individ. work	ECTS
15	15			15	105	5

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:

doc. dr. Martin Žnidaršič

Sodelavci / Lecturers:

Jeziki / Languages:

Predavanja / Lectures:

Slovenščina, angleščina / Slovenian, English

Vaje / Tutorial:

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Vsebina:

Content (Syllabus outline):

Uvod:
uvod v področje računalniške ustvarjalnosti, umestitev raziskovalnega področja in primeri aplikacij

Teoretske osnove:
opredelitev človeške in računalniške ustvarjalnosti, ocenjevanje in metrike

Metodologija:
računalniška ustvarjalnost kot iskanje, bisociativno odkrivanje znanja, tvorba in spajanje konceptov (angl. conceptual blending).

Viri in orodja:
jezikovni viri in programska orodja za obdelavo naravnega jezika (korpusi, knjižnice, leksikalni in semantični viri), rudarjenje strukturiranih podatkov in besedil, platforme za podporo računalniški ustvarjalnosti (Clowdflows, TextFlows, Flowr, Pattern)

Aplikacije v znanosti, zdravju in trženju: ustvarjanje hipotez, odkrivanje znanja, dokazovanje matematičnih izrekov, izdelava prehranskih receptov, planov vadbe, ustvarjanje sloganov, akronimov in reklam

Aplikacije v literaturi in umetnosti:
ustvarjanje zgodb, metafor, humorja, poezije in slik, komponiranje glasbe

Povzetek in diskusija:
primerjava računalniške kreativnosti s človeško, potenciali, omejitve in etična vprašanja, vloga računalniške kreativnosti v industriji in v umetnosti

Introduction:
introduction to the field of computational creativity, positioning of the field and sample applications

Foundations:
definitions of human and computational creativity, evaluation and metrics

Methodology:
computational creativity as search, bisociative knowledge discovery, concept formation and conceptual blending

Resources and tools:
language resources and tools for natural langugage processing (corpora, programing libraries, lexical and semantic resources), structured and textual data mining, supporting platforms for computational creativity (Clowdflows, TextFlows, Flowr, Pattern)

Applications in science, health and marketing:
hypothesis creation, knowledge discovery, proving mathematical axioms, food recipe creation, exercise planning, generation of slogans, acronyms and advertisements

Applications in literature and art:
creation of stories, metaphor, humor, poetry and paintings, composing music

Summary and discussion:
comparison of human and computational creativity, opportunities, limitations and ethical issues, the role of computational creativity in industry and art

Temeljna literatura in viri / Readings:

M. A. Boden, Ed. Dimensions of creativity. MIT Press,1996.ISBN 0-262-02368-7.
M. A. Boden, The creative mind: Myths and mechanisms. Psychology Press, 2004. ISBN 0-203-50852-1.
T. R. Besold, M. Schorlemmer, and A. Smaill, Computational Creativity Research: Towards Creative Machines. Atlantis Publishing Corporation, 2014. ISBN 978-94-6239-084-3.
S. Colton, and G. A. Wiggins, Computational Creativity: The Final Frontier? In ECAI 2012 - 20th European Conference on Artificial Intelligence, 21-26, Montpellier, France, August 2012.
G. A. Wiggins, A preliminary framework for description, analysis and comparison of creative systems. Knowledge-Based Systems 19 (7): 449-458, 2006.
G. Ritchie, Some Empirical Criteria for Attributing Creativity to a Computer Program. Minds and Machines, 17(1):76-99, Springer, 2007.
G. Fauconnier, and M. Turner, The way we think: Conceptual blending and the mind's hidden complexities. Basic Books, 2008. ISBN 0-465-08785-X.
M. R. Berthold, Bisociative knowledge discovery. Springer Berlin Heidelberg, 2011. ISBN 978-3-642-24799-6.
K.E. Jennings, Developing creativity: Artificial barriers in artificial intelligence. Minds and Machines 20(4): 489-501, 2011.

Cilji in kompetence:

Objectives and competences:

Predvideni študijski rezultati:

Intendeded learning outcomes:

Metode poučevanja in učenja:

Learning and teaching methods:

Načini ocenjevanja:

Delež v % / Weight in %

Assesment:

Pisni ali ustni izpit

40 %

Written or oral exam

Seminarska naloga

30 %

Seminar work

Ustni zagovor seminarske naloge

30 %

Oral defense of the seminar work

Reference nosilca / Lecturer's references:

1.	B. Fele, J. Babič, S. Pollak, M. Žnidaršič, Evaluation of Curriculum Learning Algorithms using Computational Creativity Inspired Metrics, 13th International Conference on Computational Creativity, Bolzano, Italy, 2022.
2.	M. T. Llano, R. Hepworth, S. Colton, J. Gow, J. Charnley, N. Lavrač, M. Žnidaršič, M. Perovšek, M. Granroth-Wilding, and S. Clark, Baseline Methods for Automated Fictional Ideation In Proceedings of the International Conference on Computational Creativity. 2014.
3.	P. Tomašič, M. Žnidaršič, G. Papa, Implementation of a slogan generator In: The Fifth International Conference on Computational Creativity, 2014.
4.	M. Žnidaršič, S. Pollak, D. Miljković, J. Kranjc, N. Lavrač, Identifying creative fictional ideas In: Discovery science : book of abstracts, 2014.
5.	P. Tomašič, G. Papa, M. Žnidaršič, Automated slogan production using a genetic algorithm. In: Bioinspired optimization methods and their applications : proceedings of the Student Workshop on Bioinspired Optimization Methods and their Applications - BIOMA 2014, 13 September 2014, Ljubljana, Slovenia. Ljubljana: Jožef Stefan Institute, pp. 55-66, 2014.