Music 206: Emotions, Style and Meaning…
Music 206: Emotions, Style and Meaning…
Reading list with some annotations
Introduction:
Common sense in AI, Minsky’s ideas on Music, role of body in reasoning and Sentics
1. “The St. Thomas Common Sense Symposium: Designing Architectures for Human-Level Intelligence”, Marvin Minsky, Push Singh, and Aaron Sloman, AI Magazine, 2004
2. “Music, Mind, and Meaning”, Marvin Minsky, Computer Music Journal, 1981,
3. “Building Brains for Bodies, Rodney Brooks and Lynn Andrea Stein, Autonomous Robots, 1 (1994)
4. “Time-Forms, Nature's Generators and Communicators of Emotion”, Manfred Clynes, IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, Sept. 1992.
Decision Making and Mental Models:
Relation between rational behavior and mental models, what are the behavioral aspects of decision making and alternative models for games theory.
5. “Decision Making and Problem Solving”, by Herbert A. Simon et al., Research Briefings 1986
6. “Mental models: a gentle guide for outsiders”, P.N. Johnson-Laird, Vittorio Girotto, and Paolo Legrenzi, 1998
7. “Behavioural studies of strategic thinking in games”, Colin F. Camerer, TRENDS in Cognitive Sciences Vol.7 No.5 May 2003
8. “Mental Models and Normal Errors”, Kevin Burns, 2002
9. Game theory and the Cuban missile crisis”, Steven J. Brams, 2001
Complexity:
Complexity in nature, cognition and music
10. "The Architecture of Complexity", The Sciences of the Artificial, By Herbert Simon, 1969
11. “Cognitive complexity and the structure of musical patterns”, Jeff Pressing.
12. “Complexity measures of musical rhythms”, Shmulevich, I., Povel, D.J. (2000). In P. Desain & L.Windsor, Rhythm perception and production
13. “Complexity Measures for complex systems and complex objects”, Pablo Funes
Emotions:
Models of Emotions in rationality and in music
14. “Beyond Shallow Models of Emotion”, Aaron Sloman, Cognitive Processing, Vol. 2, No 1, 2001
15. “Rationality and the Emotions”, Jon Elster, The Economic Journal, 1996
16. “Detecting Emotion in Music”, Tao Li and Mitsunori Ogihara, 2003
17. “Disambiguating Music Emotion using Software Agents”, Dan Yang, WonSook Lee, 2004
Affective Processing:
Algorithms and methods for affect processing
18. “Digital Processing of Affective Signals”, Jennifer Healey and Rosalind Pickard, ICASSP 98.
19. “Affective Content Detection using HMMs”, Hang-Bong Kang, MM’03
20. “Using audio features to model the affective response to music”, Marc Leman, Valery Vermeulen, Liesbeth De Voogdt, Dirk Moelants, ISMA2004
21. “Composing Affective Music with a Generate and Sense Approach”, Sunjung Kim and Elisabeth André, 2004
Improvisation and Emergence:
22. “Improvisation: Methods and Models”, in Generative processes in music (ed. J. Sloboda) Oxford University Press 1987
23. “The Mechanisms of Emergence”, R.K.Sawyer, Philosophy of Social Sciences, 2003
24. “Improvisational Cultures: Collaborative Emergence and Creativity in Improvisation”, R.K.Sawyer, Mind, Culture and Activity, 2000
Narrative:
25. “Understanding Narrative is Like Observing Agents”, Guido Boella, Rossana Damiano, and Leonardo Lesmo, AAAI 1999
26. “Narrative Intelligence”, Michael Mateas and Phoebe Sengers, AAAI 1999
27. “Notes on the Use of Plan Structures in the Creation of Interactive Plot”, R. Michael Young, AAAI 99
28. “Improvisation and Narrative”, R.K.Sawyer, Narrative Inquiry, 2002
Style:
Style as surface features and local structures
29. “Style Machines”, Matthew Brand Aaron Hertzmann, SIGGRAPH 2000
30. “Machine Learning of Musical Style”, Dubnov and Assayag, Computer Magazine, 2002
31. “Separating Style and Content”, J.B. Tennenbaum and W.T. Freeman, Adv. In NIPS, 1997
32. “Style as a Choice of Blending Principles”, Joseph A. Goguen and D. Fox Harrell, 2004
Flow:
Is Flow and alternative for describing artistic experience?
33. “Quality of Experience in Virtual Environments”, Andrea GAGGIOLI, Marta BASSI, Antonella DELLE FAVE, 2003
34. “Improvisation Planning and Jam Session Design using concepts of Sequence Variation and Flow Experience”, Dubnov and Assayag, 2005
Musical Forces:
Physical metaphors and emotional forces
35. “Musical Forces and Melodic Expectations: Comparing Computer Models and Experimental Results”, Steve Larson, Music Perception, 2004
36. “Influences of Large-Scale Form on Continuous Ratings in Response to a Contemporary Piece in a Live Concert Setting”, McAdams et al., Music Perception, 2004
37. “Structural and Affective Aspects of Music from Statistical Audio Signal Analysis”, Dubnov et al, JASIST 2005
Influential Aspects of Information:
Information that affects the receiver
38. “Toward a Theory of Information Processing”, Sinan Sinanovi´c and Don H. Johnson, 2004.
39. “Spectral Anticipations”, Dubnov, 2005
Computational Media Aesthetics:
Semantic gap between features and meaning and its relation to aesthetics
40. “Bridging the Semantic Gap in Content Management, Systems: Computational Media Aesthetics”, Chitra Dorai, Svetha Venkatesh
41. “Negotiating the semantic gap: from feature maps to semantic landscapes”, Rong Zhao, W.I. Grosky, Pattern Recognition 35 (2002)
42. “Where Does Computational Media Aesthetics Fit?”, Brett Adams, 2003
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