[AAMAS09] Perspectives and Challenges of Agent-Based Simulation as a Tool for Economics and Other Social Sciences

invited talk by Klaus G. Troitzsch

Human social systems are among the most complex systems in our world and they share several characteristics with agents. They’re different from physical systems and living systems. He’s talking about common concepts in agency from the viewpoint of human societies and comparing them sometimes with physical systems.

Before using agents, in social sciences many approaches has been used, as econophysics/sociophysics, game theory (OGM, again, I’m becoming hate it), some simulation attempts in the 60s… ups, I’ve just discovered that our model of agreement is sociophysics: agents as particles, with vectorial additivity for their behaviours.

Other interesting thing (related with the small world model I’m trying to find) is how humans take roles. People belong to many groups at the same time and we can not classify this groups in levels, because they co-exists. 

… and many other things as communication, emergence, adaptation or trust.
socially-inspired computing

What MAS can learn from economics and social sciences

  • more cooperative and secure agent societies
  • create adaptative sw if valid HSS simulators can be created
  • trust fromation and negotiation as design patterns for distributed systems engineering

but we’re far sway from creating socially-inspired computing systems.

At the end, too general, nothing really new and a bit boring.

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