Emotion and embodiment in cognitive Agents: From instincts to music

2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

Volumn , Issue , 2007, Pages 133-138

  Coutinho, Eduardo ^a   Cangelosi, Angelo ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER MUSIC; DYNAMICAL SYSTEMS; INFORMATION RETRIEVAL; MATHEMATICAL MODELS;

COGNITIVE AGENTS; PSYCHOACOUSTICS; RECURRENT CONNECTIONIST ARCHITECTURES; STABLE MOTIVATIONAL SYSTEMS;

COGNITIVE SYSTEMS;

EID: 34548721619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KIMAS.2007.369798     Document Type: Conference Paper

References (24)

1. D. Canamero, "A hormonal model of emotions for behavior control", in ECAL'97, 1997.
2. S. Gadanho and J. Hallam, "Robot learning driven by emotions", Adaptive Behavior, vol. 9, pp. 42-64, 2001.
3. R. Picard, E. Vyzas, and J. Healey, "Toward machine emotional intelligence: Analysis of affective physiological state", IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 23, pp. 1175-1191, 2001.
4. A. Damasio, The Feeling of What Happens: Body, Emotion and the Making of Consciousness. Vintage, 2000
5. E. Coutinho and A. Cangelosi, "The dynamics of music perception and emotional experience: a connectionist model", in Proc. Int. Conf. on Music Perception and Cognition, 2006.
6. D. Parisi, "Internal robotics", Connection Science, vol. 16, no. 4, pp. 325-338, December 2004.
7. J. Panksepp, "The neuro-evolutionary cusp between emotions and cognitions: Implications for understanding consciousness and the emergence of a unified mind science", Consciousness & Emotion, vol. 1, no. 1, pp. 15-54, 2000.
8. K. Scherer, Approaches to emotion. Hillsdale: Erlbaum, 1984, ch. On the nature and function of emotion: a component process approach, pp. 293-317.
9. P. Philippot, G. Chapelle, and S. Blairy, "Respiratory feedback in the generation of emotion", Cognition and Emotion, vol. 16, no. 5, pp. 605-627, 2002.
10. S. Schachter, The interaction of cognitive and physiological determinants of emotional state, ser. Advances in experimental Social Psychology, L. Berkiwitz, Ed. New York: Academic Press, 1964, no. 1.
11. B. Zillmann, Transfer of Excitation in emotion behavior, ser. Social psychophysiology, J. Cacioppo and R. Petty, Eds. Guilford, 1983.
12. E. Coutinho, E. Miranda, A. Cangelosi, "Towards a Model for Embodied Emotions". In C. Bento, A. Cardoso & G. Dias (Eds.), Proc. Portuguese Conf. on Artificial Intelligence. Portugal, IEEE Press, pp. 54-63, 2005.
13. E. T. Rolls, "Memory systems in the brain", Annu. Rev. Psychol., vol. 51, pp. 599-630, 2000.
14. D. S. Levine, "Seek Simplicity and Distrust it: Knowledge Maximization versus Effort Minimization", International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS'07), April 30 - May 3, 2007, Waltham, MA.
15. L. I. Perlovsky, "Music - the First Principle", In J. Dimitrin, e-journal, Musical Theatre, http://www.ceo.spb.ru/libretto/kon_lan/ogl. shtml.
16. A. Gabrielsson and E. Lindström, The influence of musical structure on emotional expression, In P. Juslin, and J. Sloboda (Eds.), Music and Emotion: Theory and Research (pp. 223-248). New York: Oxford University Press, 2001.
17. R. J. Zatorre, "Music, the food of neuroscience?" Nature, vol. 434, pp. 312-315, 2005.
18. S. Koelsch, T. Fritz, D. Cramon, K. Müller, and A. Friederici, "Towards a neural basis of music perception", Trends in Cognitive Sciences, vol. 9, pp. 578-584, 2006.
19. H. G. Wieser, "Music and the brain: Lessons from brain diseases and some reflections on the "emotional" brain." Annals. New York Academy of Science, vol. 99, pp. 76-94, 2003.
20. M. Clynes, Sentics: the Touch of Emotions. New York: Doubleday, 1978.
21. P. Janata and S. T. Grafton, "Swinging in the brain: shared neural substrates for behaviors related to sequencing and music", Nature Neuroscience, vol. 6, pp. 682-687, 2003.
22. A. J. Blood and R. J. Zatorre, "Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion", Proceedings of the National Academy of Sciences, vol. 98, pp. 11818-11823, 2001.
23. M. Korhonen, "Modeling continuous emotional appraisals of music using System Identification" [Online]. Available: http://www.sauna.org/ kiulu/emotion.html.
24. Schubert, E. (1999). Measurement and time series analysis of emotion in music. PhD thesis, Univ. of New South Wales.