EPOS-epistemological perspectives on simulation: An introduction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5466 LNAI, Issue , 2009, Pages 1-11

  Ulrich, Frank ^a   Squazzoni, Flaminio ^b   Troitzsch, Klaus G ^c  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b UNIVERSITY OF BRESCIA   (Italy)

^c University of Koblenz Landau ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67650680274     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01109-2_1     Document Type: Conference Paper

References (40)

1. Axelrod, R.: The Complexity of Cooperation. Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton (1997)
2. Axelrod, R.: Advancing the Art of Simulation in the Social Sciences. In: Rennard, J.P. (ed.) Handbook of Research on Nature Inspired Computing for Economy and Management. Idea Group, Hersey (2006)
3. Batty, M.: Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press, London (2005)
4. Bedau, M.: Weak Emergence. Philosophical Perspectives 11, 375-399 (1997)
5. Boero, R., Squazzoni, F.: Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science. Journal of Artificial Societies and Social Simulation 8(4) (2005), http://jasss.soc.surrey.ac.uk/8/4/6.html (Pubitemid 41596811)
6. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence From Natural to Artificial Systems. Santa Fe Institute Studies in the Sciences of Complexity. Oxford University Press, Oxford (1999)
7. Coleman, J.: Foundations of Social Theory. Cambridge University Press, Cambridge (1990)
8. de Marchi, S.: Computational and Mathematical Modeling in the Social Sciences. Cambridge University Press, Cambridge (2005)
9. Epstein, J.M.: Generative Social Science. Studies in Agent-Based Computational Modeling. Princeton University Press, Princeton (2007)
10. Epstein, J.M., Axtell, R.: Growing Artificial Societies. Social Science from the Bottom-Up. MIT Press, Cambridge (1996)
11. Frank, U., Troitzsch, K.G.: Epistemological Perspectives on Simulation. Special Issue, Journal of Artificial Societies and Social Simulation 8(4) (2005), http://jasss. soc.surrey.ac.uk/8/4/7.html (Pubitemid 41596805)
12. George, A.L., Bennett, A.: Case-Studies and Theory Development in the Social Sciences. MIT Press, Cambridge (2004)
13. Gilbert, N.: Varieties of Emergence. In: Sallach, D. (ed.) Social Agents: Ecology, Exchange, and Evolution. Agent 2002 Conference, University of Chicago and Argonne National Laboratory, pp. 41-56 (2002)
14. Gilbert, N.: When Does Social Simulation Need Cognitive Models? In: Sun, R. (ed.) Cognition and multi-agent interaction: From cognitive modeling to social simulation. Cambridge University Press, Cambridge (2005)
15. Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientists, 2nd edn. Open University Press, Buckingham Philadelphia (2005)
16. Gilbert, N.: Agent-Based Models. Sage Publications, London (2008)
17. Gimblett, R.H.: Integrating Geographic Information Systems and Agent-based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford (2002)
18. Gintis, H.: Review of Handbook of Computational Economics, Volume II: Agent-Based Computational Economics by Tesfatsion L. and Judd K.J. Journal of Artificial Societies and Social Simulation 10(1) (2007), http://jasss.soc. surrey.ac.uk/10/1/ reviews/gintis.html
19. Goldthorpe, J.H.: On Sociology. Numbers, Narratives and the Integration of Research and Theory. Oxford University Press, Oxford (2000)
20. Hedström, P.: Dissecting the Social. On the Principles of Analytical Sociology. Cambridge University Press, Cambridge (2005)
21. Hedström, P., Swedberg, R. (eds.): Social Mechanisms: An Analytical Approach to Social Theory. Cambridge University Press, Cambridge (1998)
22. Kendrick, D.A., Mercado, P.R., Amman, H.M.: Computational Economics. Princeton University Press, Princeton (2005)
23. Kim, J.: Emergence: Core Ideas and Issues. Synthese 151, 547-559 (2006)
24. Janssen, M.A. (ed.): Complexity and Ecosystem Management: the Theory and Practice of Multi-Agent Systems. Edward Elgar Publishing, Cheltenham (2002)
25. Lomi, A., Larsen, E.R. (eds.): Dynamics of Organizations: Computational Modeling and Organization Theories. MIT Press, Cambridge (2000)
26. Moss, S., Edmonds, B.: Sociology and Simulation: Statistical and Qualitative Cross-Validation. American Journal of Sociology 110(4), 1095-1131 (2005) (Pubitemid 40912149)
27. Nowak, M.A., Sigmund, K.: The Dynamics of Indirect Reciprocity. Journal of Theoretical Biology 194, 561-574 (1998) (Pubitemid 28493251)
28. Nowak, M.A., Sigmund, K.: Evolution of Indirect Reciprocity. Nature 437, 1291-1298 (2005) (Pubitemid 41568670)
29. Prietula, M., Carley, K., Gasser, L. (eds.): Simulating Organizations: Computational Models of Institutions and Groups. MIT Press, Cambridge (1998)
30. Pyka, A., Arhweiler, P.: Applied Evolutionary Economics and Social Simulation. Journal of Artificial Societies and Social Simulation 7(2) (2004), http://jasss.soc. surrey.ac.uk/7/2/6.html (Pubitemid 38817492)
31. Saviotti, P.P. (ed.): Applied Evolutionary Economics: New Empirical Methods and Simulation Techniques. Edward Elgar Publishing, Cheltenham (2003)
32. Sawyer, R.K.: Social Emergence. Societies as Complex Systems. Cambridge University Press, Cambridge (2005)
33. Shiflet, A.B., Shiflet, G.W.: Introduction to Computational Science: Modeling and Simulation for the Sciences. Princeton University Press, Princeton (2006)
34. Squazzoni, F.: The Micro-Macro Link in Social Simulation. Sociologica, 1, 2 (2008), http://www.sociologica.mulino.it/journal/article/index/Artic le/Journal:ARTICLE:179
35. Suleiman, R., Troitzsch, K.G., Gilbert, N. (eds.): Tools and Techniques for Social Science Simulation. Springer, Heidelberg (2000)
36. Tesfatsion, L., Judd, K.L. (eds.): Handbook of Computational Economics, Volume II: Agent-Based Computational Economics. Elsevier/North-Holland, Amsterdam (2006)
37. van Elst, L., Dignum, V., Abecker, A. (eds.): AMKM 2003. LNCS, vol.2926. Springer, Heidelberg (2004)
38. Volker, G., Railsback, S.F.: Individual-Based Modelling and Ecology. Princeton University Press, Princeton (2005)
39. Windrum, P., Fagiolo, G., Moneta, A.: Empirical Validation of Agent-Based Models: Alternatives and Prospects. Journal of Artificial Societies and Social Simulation 8(4) (2007), http://jasss.soc.surrey.ac.uk/10/2/8.html
40. Wooldridge, M.: An Introduction to Multi-Agent Systems. John Wiley and Sons Limited, Chichester (2002)