New JoM-EMIT paper: Cultural evolution of "guiding behaviour" ... by Gianluca Baldassarre

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Date: Mon Mar 05 2001 - 13:42:36 GMT

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    Subject: New JoM-EMIT paper: Cultural evolution of "guiding behaviour" ... by  Gianluca Baldassarre
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                       Cultural evolution of "guiding
                       criteria" and behaviour in a
                    population of neural-network agents

                         by Gianluca Baldassarre

    Abstract
       1 - Introduction
       2 - Methods
          2.1 - The environment and the task
          2.2 - Individual learning
          2.3 - Cultural transmission
       3 - Results and interpretation
       4 - Related work
       5 - Conclusion and future work
    Acknowledgements
    References

    Abstract

       An important form of cultural evolution involves individual
       learning of behaviour by the members of a population of agents
       and cultural transmission of learned behaviour to the following
       generations. The selection of behaviours generated in the process
       of individual learning requires some "guiding criteria". As with
       behaviour, guiding criteria can be innate or originate from
       individual or social learning. Guiding criteria play a fundamental
       role in cultural evolution because they strongly contribute to
       determine the behaviours that will enter the pool of cultural traits
       of the population. This work presents a computational model that
       investigates the nature and function of some forms of "guiding
       criteria" in the cultural evolution of a population of agents that
       learn and adapt to the environment using neural networks. The
       model focuses on the interplay of individual learning and cultural
       transmission of behaviour and those forms of guiding criteria.
       The model contributes to clarify the nature and role in culture
       evolution of the guiding criteria studied. Also, within the
       assumptions of the model, it shows that the cultural transmission
       of behaviour is more effective than the transmission of the
       guiding criteria.

       Keywords: Multi-agent simulation, neural networks, cultural
       evolution, cultural transmission, reinforcement learning, imitation,
       behaviour, guiding criteria, values, evaluations.

    Available at:
            http://www.cpm.mmu.ac.uk/jom-emit/2001/vol4/baldassarre_g.html



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