Handle: Engineering Artificial Musical Creativity at the “Trickery” Level - Computational Creativity Research: Towards Creative Machines - page 299

References
1. Allwood, J., Nivre, J., Ahlsé, E.: On the semantics and pragmatics of linguistic feedback. J.
Semant. 9 (1), 1-26 (1992)
2. Arkoudas, K., Bringsjord, S.: Toward formalizing common-sense psychology: an analysis of
the false-belief task. PRICAI 2008: Trends in Artificial Intelligence pp. 17-29 (2008)
3. Assayag, G., Bloch, G., Chemillier, M.: Omax-ofon. SoundMusic Comput. (SMC) 2006 (2006)
4. Braasch, J.: The μ -cos m project: an introspective platform to study intelligent agents in the
context of music ensemble improvisation (2012) (to appear).
5. Bringsjord, S.: Declarative/Logic-based cognitive modeling. In: Sun, R. (ed.) The Handbook
of Computational Psychology, pp. 127-169. Cambridge University Press, Cambridge (2008).
http://kryten.mm.rpi.edu/sb_lccm_ab-toc_031607.pdf
6. Bringsjord, S.: The logicist manifesto: at long last let logic-based AI become a field unto
itself. J. Appl. Logic 6 (4), 502-525 (2008). http://kryten.mm.rpi.edu/SB_LAI_Manifesto_
091808.pdf
7. Bringsjord, S., Ferrucci, D.: Artificial Intelligence and Literary Creativity: Inside the Mind of
Brutus, A Storytelling Machine. Lawrence Erlbaum, Mahwah (2000)
8. Bringsjord, S., Ferrucci, D., Bello, P.: Creativity, the turing test, and the (better) lovelace test.
Mind. Mach. 11 , 3-27 (2001)
9. Bringsjord, S., Govindarajulu, N.S.: Toward a modern geography of minds, machines andmath.
SAPERE Philosophy and Theory of Artificial Intelligence (forthcoming)
10. Bringsjord, S., Licato, J.: Psychometric artificial general intelligence: the Piaget-MacGuyver
room. In: Wang, P., Goertzel, B. (eds.) Foundations of Artificial General Intelligence, pp. 25-
47. Atlantis Press, Amsterdam, The Netherlands (2012). http://kryten.mm.rpi.edu/Bringsjord_
Licato_PAGI_071512.pdf. This url is to a preprint only
11. Clark, M.: Cognitive illusions and the lying machine. Ph.D. thesis, PhD thesis, Rensselaer
Polytechnic Institute (RPI) (2008)
12. Cope, D.: Computer Models of Muscial Creativity. MIT Press, Cambridge, MA (2005)
13. Cross, I.: “Does not compute?” Music as real-time communicative interaction. AI Soc. 28 ,
415-430 (2013)
14. Ellis, D., Poliner, G.: Identifying cover songs' with chroma features and dynamic programming
beat tracking. In: Proceedings of International Conference on Acoustical, Speech, and Signal
Processing ICASSP-07, vol. 4, pp. 1429-1432. IEEE (April 2007). A MATLAB library is
available at: http://labrosa.ee.columbia.edu/projects/coversongs/
15. Ellis, S., Govindarajulu, N.S., Bringsjord, S., Haig, A., Kuebler, C., Taylor, J., Braasch, J.,
Oliveros, P., Nort, D.V.: Creativity and conducting: handle in the CAIRA project. In: Proceed-
ings of theWorkshop “Computational Creativity, Concept Invention, and General Intelligence”
(2012)
16. Heider, F., Simmel, M.: An experimental study of apparent behaviour. Am. J. Psychol. (1944)
17. Inhelder, B., Piaget, J.: The Growth of Logical Thinking fromChildhood to Adolescence. Basic
Books, New York, NY (1958)
18. Mueller, E.: Commonsense Reasoning. Morgan Kaufmann (2006)
19. Murray-Rust, D., Smaill, A.: Towards a model of musical interaction and communication.
Artif. Intell. 175 , 1697-1721 (2011)
20. Pappas, G., Swain, M.: Essays on Knowledge and Justification. Cornell University Press (1978)
21. Patel, A., et al.: Language, music, syntax and the brain. Nat. Neurosci. 6 (7), 674-681 (2003)
22. Pearce, M.: Notes on CHARM—a specification for the representation of musical knowledge
(2002)
23. Rapee, E. (ed.): Motion Picture Moods for Pianists and Organists. Arno Press Inc, Arno (1970)
24. Redner, G.: Deleuze and FilmMusic : Building a Methodological Bridge Between FilmTheory
and Music, chap. Introduction, Intellect Ltd (2010)
25. Roemmele, M., Archer-McClellan, H., Gordon, A.S.: Triangle charades: a data-collection game
for recognizing actions in motion trajectories (2014)