Artificial science: A simulation to study the social processes of science

Social Simulation: Technologies, Advances and New Discoveries

Volumn , Issue , 2007, Pages 61-67

  Edmonds, Bruce ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 76349093095     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-522-1.ch005     Document Type: Chapter

References (8)

1. Longino, H. (1990). Science as social knowledge. Princeton: Princeton University Press.
2. Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: Prentice-Hall.
3. Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.
4. Ahrweiler, P., Gilbert, N., & Pyka, A. (2001). Innovation networks-A simulation approach. Journal of Artificial Societies and Social Simulation, 4(3).
5. Bradshaw, G.G., Langley, P., Simon, H.A., & Zytkow, J.M. (1987). Scientific discovery: Computational explorations of the creative processes. MIT Press.
6. Fisher, M., & Wooldridge, M. (1977). Distributed problem-solving as concurrent theorem-proving. In Boman & van de Velde (Eds.), Multi-agent rationality. Springer-Verlag.
7. Boyle, J.,Lusk, E., Overleed, R., & Wos, L. (1984). Automated reasoning: Introduction and applications. Englewood Cliffs, NJ: Prentice-Hall.
8. Edmonds, B. (2000). The purpose and place of formal systems in the development of science. CPM Report 00-75, MMU, UK. (http://cfpm.org/cpmrep75.html)