Social change: Exploring design influence

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2927, Issue , 2003, Pages 106-119

  Sosa, Ricardo ^a   Gero, John S ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS; AUTOMATA THEORY; CLIENT SERVER COMPUTER SYSTEMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; PRODUCT DESIGN; SOCIAL ASPECTS;

DESIGN INFLUENCES; ELEMENTARY MODEL; SOCIAL CHANGES; SOCIAL INFLUENCE;

MULTI AGENT SYSTEMS; SOCIAL SCIENCES COMPUTING;

AGENT-GROUP INTERACTION; CELLULAR AUTOMATA (CA) MODELING; SOCIAL INFLUENCES; SOCIO-ENVIRONMENTAL CONDITIONS;

EID: 84861511512     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24613-8_8     Document Type: Conference Paper

References (22)

1. Axelrod, R: 1997, The Complexity of Cooperation, Agent-based Models of Competition and Collaboration, Princeton University Press, New York.
2. Epstein, JM and Axtell, R: 1996, Growing Artificial Societies, Social Science from the Bottom Up, MIT Press, Cambridge.
3. Schelling, K: 1971, Dynamic models of segregation, Journal of Mathematical Sociology, 1, 143-186.
4. Troitzsch, KG, Mueller, U, Gilbert, N and Doran, J (eds): 1996, Social Science Microsimulation, Springer, Berlin.
5. Conte, R, Hegselmann, R, and Terna, P: 1997, Simulating Social Phenomena, Springer, Berlin.
6. Gilbert, N. and Doran, J. (eds): 1994, Simulating Societies: the Computer Simulation of Social Phenomena, UCL Press, London.
7. Suleiman, R, Troitzsch, KG and Gilbert, N (eds): 2000, Tools and Techniques for Social Science Simulation, Physica-Verlag, Heidelberg.
8. Gilbert, N and Troitszch, K: 1999, Simulation for the Social Scientist, Open University Press, Philadelphia.
9. Boudon, R: 1986, Theories of Social Change, Polity Press, Cambridge.
10. Schumpeter, JA: 1939, Business Cycles: A Theoretical, Historical and Statistical Analysis of the Capitalist Process, McGraw-Hill, London.
11. Latané, B and Nowak, A: 1997, Self-organizing social systems: necessary and sufficient conditions for the emergence of consolidation, clustering, and continuing diversity, in Barnett, G. and Boster, F (eds), Progress in Communication Sciences: Persuasion, v. 13 Ablex, Norwood, NJ. pp. 43-74.
12. Rogers, AR: 1989, Does biology constrain culture?, American Anthropologist, 90, 819-831.
13. Gero, JS: 2000, Computational models of innovative and creative design processes, Technological Forecasting and Social Change, 64(1), 183-196
14. Conte, R, Edmonds, B, Moss, S, and Sawyer, RK: 2001, Sociology and social theory in agent based social simulation: a symposium, Computational and Mathematical Organization Theory, 7(3), 183-205.
15. Liggett, TM: 1999, Stochastic Interacting Systems: Contact, Voter, and Exclusion Processes, Springer-Verlag, Berlin.
16. Boyd, R and Richerson, P: 1985, Culture and the Evolutionary Process, University of Chicago Press, Chicago.
17. Iwai, K: 2000, A contribution to the evolutionary theory of innovation, imitation and growth, Journal of Economic Behavior and Organization, 43(2), 167-198.
18. Rogers, EM: 1995, Diffusion of Innovations, The Free Press, New York.
19. Kuhn, T: 1969, Comment on the relations between science and art, Comparative Studies in Philosophy and History, II, 403-412.
20. Sosa, R and Gero, JS: 2002, Computational models of creative design situations, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 165-180.
21. Sosa, R and Gero, JS: 2003, Design and change: a model of situated creativity, in 3rd. Workshop on Creative Systems "Approaches to Creativity in Artificial Intelligence and Cognitive Science", at the 18th International Joint Conference on Artificial Intelligence, IJCAI 2003, Acapulco, Mexico, 9-10 August 2003.
22. Watts, DJ: 2003, Six Degrees: The Science of a Connected Age, W. W. Norton and Company, New York.