Towards automated game design

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4733 LNAI, Issue , 2007, Pages 626-637

  Nelson, Mark J ^a   Mateas, Michael ^b  

^a Georgia Institute of Technology   (United States)

^b University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAME THEORY; USER INTERFACES; VISUALIZATION;

GAME GENERATION; GAME VERBS; VISUAL REALIZATION; WORDNET;

ARTIFICIAL INTELLIGENCE;

EID: 38049148517     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74782-6_54     Document Type: Conference Paper

References (23)

1. Zagal, J.P., Mateas, M., Fernández-Vara, C., Hochhalter, B., Lichti, N.: Towards an ontological language for game analysis. In: DiGRA. Proceedings of the 2005 Digital Games Research Association Conference (2005)
2. Pell, B.: Metagame in symmetric, chess-like games. In: Allis, L.V., van den Herik, H.J. (eds.) Heuristic Programming in Artificial Intelligence 3: The Third Computer Olympiad, Ellis Horwood (1992)
3. Gingold, C.: What WarioWare can teach us about game design. Game Studies 5(1) (2005)
4. Liu, H., Singh, P.: ConceptNet: A practical commonsense reasoning toolkit. BT Technology Journal 22(4) (2004)
5. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Washington (1998)
6. Singh, P.: The public acquisition of commonsense knowledge. In: Proceedings of the AAAI Spring Symposium on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access (2002)
7. Lenat, D.B.: CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM 38(11), 33-38 (1995)
8. Mueller, E.T.: Natural Language Processing with ThoughtTreasure. Signiform, Online (1998), http://www.signiform.com/tt/book/
9. Lieberman, H., Liu, H., Singh, P., Barry, B.: Beating common sense into interactive applications. AI Magazine 25(4), 63-76 (2004)
10. Pedersen, T., Patwardhan, S., Michelizzi, J.: WordNet:Similarity: Measuring the relatedness of concepts. In: AAAI. Proceedings of the 19th National Conference on Artificial Intelligence (2004)
11. Orwant, J.: EGGG: Automated programming for game generation. IBM Systems Journal 39(3-4), 782-794 (2000)
12. Wright, W.: The future of content. Keynote address, 2005 Game Developers Conference (2005), Recording: http ://www.gamasutra.com/features/20050525/ wright.01.shtml
13. Roden, T., Parberry, I.: Procedural level generation. In: Pallister, K. (ed.) Game Programming Gems, vol. 5, pp. 579-588. Charles River Media (2005)
14. Compton, K., Mateas, M.: Procedural level design for platform games. In: AIIDE. Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment Conference (2006)
15. Zhou, H., Sun, J., Turk, G., Rehg, J.M.: Terrain synthesis from digital elevation models. IEEE Transactions on Visualization and Computer Graphics 13(4), 834-848 (2007)
16. Holm, J., Arrasvuori, J., Havukainen, K.: Using MIDI to modify video game content. In: NIME. Proceedings of the 2006 International Conference on New Interfaces for Musical Expression, pp. 65-70 (2006)
17. Meehan, J.: TALE-SPIN. In: Schank, R.C., Riesbeck, C. (eds.) Inside Computer Understanding: Five Programs Plus Miniatures, pp. 197-258. Lawrence Erlbaum, Mahwah (1981)
18. Turner, S.R.: The Creative Process: A Computer Model of Storytelling. Lawrence Erlbaum, Mahwah (1994)
19. Cohen, H.: What is an image? In: IJCAI. Proceedings of the 6th International Joint Conference on Artificial Intelligence (1979)
20. Cope, D.: Virtual Music: Computer Synthesis of Musical Style. MIT Press, Cambridge (2001)
21. Thom, B.: Interactive improvisational music companionship: A user-modeling approach. User Modeling and User-Adapted Interaction 13(1-2), 133-177 (2003)
22. Mateas, M., Vanouse, P., Domike, S.: Generation of ideologically-biased historical documentaries. In: AAAI. Proceedings of the 17th National Conference on Artificial Intelligence, pp. 36-42 (2000)
23. Liu, H., Singh, P.: MAKEBELIEVE: Using commonsense knowledge to generate stories. In: AAAI. Proceedings of the 18th National Conference on Artificial Intelligence, pp. 957-958 (2002)