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In the previous chapter, I focused on threats and wars as mechanisms for the development of new political actors from the competition and collaboration of more elementary political actors. This time I wanted to study the even more fundamental process of how communities evolve in the first place.
plexity of Cooperation: Agent-Based Models of Competition and Collabora-tion, sit near those by Milgram and Asch. Mention of the Prisoner's Dilemma suggests strategy and rational choices, but agent-based models differ fundamentally from rational choice models. Instead of choices optimized by far-sighted rational calculators,
They use the shared methodology of agent-based modeling, a powerful technique that specifies the rules of interaction between individuals and uses computer simulation to discover emergent properties of the social system.
This article investigates strategic group formation through the introduction of cooperative game theory techniques into an agent-based model and simulation (ABMS) and shows some empirical results from this introduction.
31. Jan. 1997 · Using agent-based models of a problem-solving task in a network, the authors show that clustering people of similar knowledge maintains solution diversity and increases long run system collective performance.
The present paper is dedicated to discussing a formal definition of emergence and related implications for Agent-based Computational Economics (ACE) models, through an example based on an extension of the ACE population game model of Axtell et al.(2001). ...
Books. The Complexity of Cooperation: Agent-based Models of Competition and Collaboration. Robert Axelrod. Princeton University Press, Sep 7, 1997 - Business & Economics - 232 pages....
