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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