Article thumbnail

Artificial Societies of Intelligent Agents

By Carlos Gershenson


In this thesis we present our work, where we developed artificial societies of intelligent agents, in order to understand and simulate adaptive behaviour and social processes. We obtain this in three parallel ways: First, we present a behaviours production system capable of reproducing a high number of properties of adaptive behaviour and of exhibiting emergent lower cognition. Second, we introduce a simple model for social action, obtaining emergent complex social processes from simple interactions of imitation and induction of behaviours in agents. And third, we present our approximation to a behaviours virtual laboratory, integrating our behaviours production system and our social action model in animats. In our behaviours virtual laboratory, the user can perform a wide variety of experiments, allowing him or her to test the properties of our behaviours production system and our social action model, and also to understand adaptive and social behaviour. It can be accessed and downloaded through the Internet. Before presenting our proposals, we make an introduction to artificial intelligence and behaviour-based systems, and also we give notions of complex systems and artificial societies. In the last chapter of the thesis, we present experiments carried out in our behaviours virtual laboratory showing the main properties of our behaviours production system, of our social action model, and of our behaviours virtual laboratory itself. Finally, we discuss about the understanding of adaptive behaviour as a path for understanding cognition and its evolution

Topics: Artificial Intelligence
Year: 2001
OAI identifier:

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2000a). Action Selection Properties in a Software Simulated Agent.
  2. (1990). A biological perspective on autonomous agent design.
  3. (1989). A Colony Architecture for an Artificial Creature. doi
  4. (1992). A distributed neural network architecture for hexapod robot locomotion.
  5. (1993). A robot that walks: Emergent behaviors from a carefully evolved network. doi
  6. (1989). A robot that walks: Emergent behaviour from a carefully evolved network. doi
  7. (1986). A robust layered control system for a mobile robot.
  8. (1990). Animal Behaviour as a Paradigm for Developing Robot Autonomy.
  9. (1997). Being There: Putting Brain, Body, and World Together Again. doi
  10. (1998). Computational Models of Classical Conditioning: A Comparative Study.
  11. (1997). El Juego de la Vida en Tres Dimensiones. Memorias X Congreso Nacional Sobre Informática y Computación,
  12. (1990). Elephants Don't Play Chess, doi
  13. (1996). Growing Artificial Societies: Social Science from the Bottom Up. The Brookings Institution Press, doi
  14. (1988). Hearsay II. In
  15. (1999). Imitation as Social Exchange between Humans and Robots.
  16. (1997). Individual Social Action.
  17. (1990). Intelligence as Adaptive Behaviour: an Experiment in Computational Neuroethology.
  18. (1991). Intelligence without reason. doi
  19. (1998). Lógica multidimensional: un modelo de lógica paraconsistente.
  20. (1999). Modelling Emotions with Multidimensional Logic.
  21. (1998). Modelling social action for AI agents. doi
  22. (1994). Object-Oriented Analysis and Design with Applications.
  23. (1998). Simulating Collective Misbelief.
  24. (1993). Simulations of cockroach locomotion and escape.
  25. (1994). Software agents. doi
  26. (1976). The functional organization of behaviour.
  27. (1970). The Game Of Life.
  28. (1987). The Intentional Stance.