By Alla Kravets, Maxim Shcherbakov, Marina Kultsova, Olga Shabalina

This e-book constitutes the refereed lawsuits of the 1st convention on Creativity in clever applied sciences and knowledge technology, CIT&DS 2015, held in Volgograd, Russia, in September 2015. The sixty six revised complete papers and brief papers offered have been conscientiously reviewed and chosen from 208 submissions. The papers are prepared in topical sections on computational creativity for technology and layout; wisdom discovery in patent and open assets for artistic initiatives; software program computer-aided layout and agent-based platforms; conceptual, cognitive and qualitative modeling with program in clever selection making; layout creativity in CAD/CAM/CAE/PDM; clever choice help for continuous development method; facts technology in power administration, transportation and concrete improvement; info technological know-how in social networks research; average language and snapshot processing and research; game-based studying applied sciences in engineering schooling and academic video games layout; custom-made studying in Web-based clever academic structures; e-inclusion: improvement of shrewdpermanent cellular functions for individuals with disabilities.

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Additional resources for Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings

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Stefanuk 80 cm 160 cm 560 cm 640 cm Fig. 9. Tough Nut Problem with the orthogons Theorem 1. Left orthogon in figure 9 may not be covered with collection of small orthogons shown in the right of figure 9. The proof First note, that the left orthogon may not be perfectly covered with small orthogons from the right if at least one of them is not parallel to the sides of the bigger one. Hence, the locus (geometric positions) of the borders of all the small orthogons in the figure 9 (if the coverage is possible) must be collection of lines in the large orthogon that is demonstrated in the next figure.

It seems that combining these tools with Semiotic Introspection Principle would move computer intelligence closer to human intelligence. References 1. : A Tough Nut Proof Procedures, Stanford University, AI Project Memo, N 16 (1964) 2. : Principles of artificial intelligence. , San Francisco (1980) 3. : Creative problem solving (1999) 4. : Automaton theory and modeling of biological systems, translated by Scitran (Scientific Translation Service) 5. : Non-citation index or the fight between old and new.

At the input of the progrram the array, consisting of numbers 0, 1, 2, that stand for empty and occupied with “stones” “ of dark and light colors respectively. The progrram returns the number of a row r and the number of a column of a field that roobot moves to. 4, one of the most developed realizationss of Prolog language was created for debugging the strategy of the computer player. A fast complier enables to ignore the t details of algorithm and to formulate rules by declaraative way, so it increases the speeed of coding the program.

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