Emergent songs by social robots

Journal of Experimental and Theoretical Artificial Intelligence

Volumn 20, Issue 4, 2008, Pages 319-334

  Miranda, Eduardo Reck ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Artificial intelligence and music; Autonomous robots; Emergent communication systems; Experimental AI modelling; Interactive intelligent systems; Learning by imitation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMUNICATION SYSTEMS; COMPUTER MUSIC; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; INTELLIGENT SYSTEMS; PARAMETER ESTIMATION; ROBOTICS;

AUTONOMOUS ROBOTS; EMERGENT COMMUNICATION SYSTEMS; EXPERIMENTAL AI MODELLING; INTERACTIVE INTELLIGENT SYSTEMS; LEARNING BY IMITATION;

ROBOTS;

EID: 54049149834     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/09528130701664640     Document Type: Article

References (22)

1. Blackwell, T.M., and Bentley, P.J. (2002). 'Improvised Music with Swarms,' in Proceedings of the 2002 Congress On Evolutionary Computation, pp. 462-1467.
2. Boersma, P. (1993) 'Articulatory Synthesisers for the Simulations of Consonants,' in Proceedings of Eurospeech'93, pp. 1907-1910.
3. Burton, A.R. and Vladimirova, T. (1997). 'A Genetic Algorithm Utilising Neural Network Fitness Evaluation for Musical Composition,' in Proceedings of the 1997 International Conference on Artificial Neural Networks and Genetic Algorithms, eds. G.D. Smith, N.C. Steele and R.F. Albrecht, pp. 220-224.
4. Cope, D. (1996). Experiments in Musical Intelligence, Middleton: A-R Editions.
5. de Boer, B. (2001). The Origins of Vowel Systems, Oxford: Oxford University Press.
6. Fisher, R. A. (1930). The Genetical Theory of Natural Selection, Oxford: Clarendon Press.
7. Haldane, J.B.S. (1932). The Causes of Evolution, London: Longman Green.
8. Hunt, A., Orton, R. and Kirk, R. (1991). 'Musical Applications for a Cellular Automata Music Workstation,' in Proceedings of the International Computer Music Conference (ICMC 91), pp. 165-168.
9. Huxley, J.S. (1942). Evolution: The Modern Synthesis, London: Allen and Unwin.
10. Locke, J.L. (1993). The Child's Path to Spoken Language, Cambridge: Harvard University Press.
11. Miranda, E.R. (2002). Computer Sound Design: Synthesis Techniques and Programming, Oxford: Elsevier/Focal Press.
12. Miranda, E.R. (2001). 'Synthesising Prosody with Variable Resolution,' in AES Convention Paper 5332, New York: Audio Engineering Society.
13. Miranda, E.R. (1993). 'Cellular Automata Music: An Interdisciplinary Project,' Interface, 22, 3-21.
14. Miranda, E.R., Kirby, S., and Todd, P. (2003). 'On Computational Models of the Evolution of Music: From the Origins of Musical Taste to the Emergence of Grammars,' Contemporary Music Review, 22, 91-111.
15. Mozer, M. (1994). 'Neural Network Music Composition by Prediction: Exploring the Benefits of Psychophysical Constraints and Multiscale Processing,' Connection Science, 6, 247-280.
16. Papadopoulos, G. and Wiggins, G. (1998). 'A Genetic Algorithm for the Generation of Jazz Melodies,' in Proceedings of the 8th Finnish Conference on Artificial Intelligence.
17. Rizzolatti, G., and Craighero, L. (2004). 'The Mirror-Neuron System,' Annual Review of Neuroscience, 27, 169-192.
18. Robinson, F.N. (1975). 'Vocal mimicry and the evolution of bird song,' Emu - Austral Ornithology, 75, 23-27.
19. Steedman, M. (1984). 'A Generative Grammar for Jazz Chord Sequences,' Music Perception, 2, 52-77.
20. Steels, L. (1997). 'The Origins of Syntax in Visually Grounded Robotic Agents,' in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'97).
21. P.M. Todd, and D.G. Loy, (eds.) (1991), Music and Connectionism, Cambridge: The MIT Press.
22. Westerman, G., and Miranda, E.R. (2003). 'Modelling the Development of Mirror Neurons for Auditory-Motor Integration,' Journal of New Music Research, 31, 367-375.