Artificiality in Social Sciences

This text provides with an introduction to the modern approach of artificiality and simulation in social sciences. It presents the relationship between complexity and artificiality, before introducing the field of artificial societies which greatly benefited from the computer power fast increase, gifting social sciences with formalization and experimentation tools previously owned by "hard" sciences alone. It shows that as "a new way of doing social sciences", artificial societies should undoubtedly contribute to a renewed approach in the study of sociality and should play a significant part in the elaboration of original theories of social phenomena.

[1]  Joshua M. Epstein,et al.  Growing artificial societies , 1996 .

[2]  Jean-Philippe Rennard,et al.  Handbook of Research on Nature-inspired Computing for Economics and Management , 2006 .

[3]  Robert Axelrod,et al.  Advancing the art of simulation in the social sciences , 1997, Complex..

[4]  C. H. Dagli,et al.  Emergence and artificial life , 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change.

[5]  S. Salthe Varieties of emergence , 1991 .

[6]  Stephen Wolfram,et al.  Universality and complexity in cellular automata , 1983 .

[7]  Carlos Gershenson Philosophical Ideas on the Simulation of Social Behaviour , 2002, J. Artif. Soc. Soc. Simul..

[8]  R. Keith Sawyer,et al.  Social explanation and computational simulation , 2004 .

[9]  Timothy A. Kohler,et al.  Dynamics in human and primate societies: agent-based modeling of social and spatial processes , 2000 .

[10]  J. Rennard Perspectives for Strong Artificial Life , 2005, ArXiv.

[11]  Nigel Gilbert,et al.  Emergence in social simulation , 1995 .

[12]  Alberto RibesAbstract,et al.  Multi agent systems , 2019, Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)..

[13]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[14]  H. Poincaré,et al.  Les méthodes nouvelles de la mécanique céleste , 1899 .

[15]  Klaus Fischer,et al.  The Micro-Macro Link in DAI and Sociology , 2000, MABS.

[16]  A. Babloyantz,et al.  Self-organization, emerging properties, and learning , 1991 .

[17]  Chris Goldspink,et al.  Methodological Implications Of Complex Systems Approaches to Sociality: Simulation as a foundation for knowledge , 2002, J. Artif. Soc. Soc. Simul..

[18]  Stephen Wolfram,et al.  A New Kind of Science , 2003, Artificial Life.

[19]  Nigel Gilbert,et al.  Modeling sociality: the view from Europe , 2000 .

[20]  Luc Steels,et al.  The artificial life roots of artificial intelligence , 1993 .

[21]  Luc Steels,et al.  The Artificial Life Roots of Artificial Intelligence , 1994, Artif. Life.

[22]  T. Ostrom Computer simulation: the third symbol system , 1988 .

[23]  Barbara Webb,et al.  Swarm Intelligence: From Natural to Artificial Systems , 2002, Connect. Sci..

[24]  R. Axtell Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems , 2022 .

[25]  R. Galatzer-Levy Emergence , 2002 .

[26]  Cristiano Castelfranchi,et al.  Engineering Social Order , 2000, ESAW.

[27]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[28]  T. Schelling Micromotives and Macrobehavior , 1978 .

[29]  Andrew M. Colman,et al.  The complexity of cooperation: Agent-based models of competition and collaboration , 1998, Complex..

[30]  Jaime Simão Sichman,et al.  MAS and Social Simulation: A Suitable Sommitment , 1998, MABS.

[31]  Nigel Gilbert,et al.  Varieties of emergence , 2002 .

[32]  Nicolaas J. Vriend,et al.  Schelling's Spatial Proximity Model of Segregation Revisited , 2003 .

[33]  John McLeod,et al.  Simulation of the Society , 1984 .

[34]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[35]  Moshe Sipper,et al.  Design, Observation, Surprise! A Test of Emergence , 1999, Artificial Life.

[36]  Leigh Tesfatsion,et al.  Appendix A A Guide for Newcomers to Agent-Based Modeling in the Social Sciences⁎ , 2006 .

[37]  Ales Kubík,et al.  Toward a Formalization of Emergence , 2002, Artif. Life.

[38]  Jean-Louis Deneubourg,et al.  The dynamics of collective sorting robot-like ants and ant-like robots , 1991 .

[39]  Leigh Tesfatsion,et al.  Agent-Based Computational Economics: Growing Economies From the Bottom Up , 2002, Artificial Life.

[40]  Luc Steels,et al.  Cooperation between distributed agents through self-organisation , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

[41]  Robert Axelrod Advancing the art of simulation in the social sciences , 1997 .

[42]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[43]  H. Simon,et al.  The sciences of the artificial (3rd ed.) , 1996 .

[44]  M. Bedau Weak Emergence * , 1997 .

[45]  Giulio Sandini,et al.  Collectively Self-Solving Problems , 1991 .

[46]  Robert L. Axtell,et al.  Effects of Interaction Topology and Activation Regime in Several Multi-Agent Systems , 2000, MABS.

[47]  Chris Goldspink,et al.  Modelling social systems as complex: Towards a social simulation meta-model , 2000, J. Artif. Soc. Soc. Simul..

[48]  Luc Steels,et al.  The "Artificial Life" Route to "Artificial Intelligence": Building Situated Embodied Agents , 1995 .

[49]  J. Stephen Lansing,et al.  Artificial Societies and the Social Sciences , 2002, Artificial Life.

[50]  W. Hamilton,et al.  The evolution of cooperation. , 1984, Science.

[51]  N. Gilbert,et al.  Artificial Societies: The Computer Simulation of Social Life , 1995 .

[52]  Christopher G. Langton,et al.  Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .

[53]  James C Harris,et al.  Le suicide. , 2008, Archives of general psychiatry.

[54]  Tom Lenaerts,et al.  Dynamical Hierarchies (Guest Editors' Introduction) , 2005, Artificial Life.