Boundedly Rational Agents Playing the Social Actors Game: How to Reach Cooperation

In any organizational setting, each of the participating actors adopts a quite steady behavior with respect to others. This behavior is not always in line with what might be expected given the role of the actor, although it is quite cooperative and most often contributes significantly to the proper operation of the organization. Within the framework of the SocLab approach for the modeling and analysis of organizations, we propose a model of the bounded rationality that social actors could implement in the process yielding the joint adaptation of their behaviors.

[1]  P. Rochat,et al.  Imitative games by 9-, 14-, and 18-month-old infants. , 2004 .

[2]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.

[3]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[4]  A. Rubinstein Modeling Bounded Rationality , 1998 .

[5]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[6]  R. Boudon Limitations of Rational Choice Theory1 , 1998, American Journal of Sociology.

[8]  Yoav Shoham,et al.  Multi-Agent Reinforcement Learning:a critical survey , 2003 .

[9]  R. Boyd,et al.  In Search of Homo Economicus: Behavioral Experiments in 15 Small- Scale Societies , 2001 .

[10]  Mayer N. Zald,et al.  Actors and Systems: The Politics of Collective Action. , 1980 .

[11]  Christophe Sibertin-Blanc,et al.  Impact of Tenacity upon the Behaviors of Social Actors , 2009, PRIMA Workshops.

[12]  R. Selten,et al.  Aspiration Adaptation Theory. , 1998, Journal of mathematical psychology.

[13]  D. Dewsbury,et al.  The Principles of Learning and Behavior. , 1982 .

[14]  Françoise Adreit,et al.  Using Soclab for a Rigorous Assessment of the Social Feasibility of Agricultural Policies , 2011, Int. J. Agric. Environ. Inf. Syst..

[15]  Bart De Schutter,et al.  A Comprehensive Survey of Multiagent Reinforcement Learning , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[17]  P. Jehiel Learning to Play Limited Forecast Equilibria , 1998 .

[18]  Elizabeth C. Hirschman,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[19]  Ugo Merlone,et al.  A multi-agent simulation platform for modeling perfectly rational and bounded-rational agents in organizations , 2002, J. Artif. Soc. Soc. Simul..

[20]  S. Schuster An Algorithm for the Simulation of Bounded Rational Agents , 2009 .

[21]  M. Domjan The principles of learning and behavior , 1982 .

[22]  Richard S. Sutton,et al.  Introduction to Reinforcement Learning , 1998 .

[23]  Françoise Adreit,et al.  SocLab: A Framework for the Modeling, Simulation and Analysis of Power in Social Organizations , 2013, J. Artif. Soc. Soc. Simul..