University of Hertfordshire

By the same authors

Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • 901919

    Final published version, 405 KB, PDF document

View graph of relations
Original languageEnglish
Title of host publicationProcs of the 2007 IEEE Symposium on Artificial Life (CI-ALife 2007)
PublisherIEEE
Pages207-213
Publication statusPublished - 2007

Abstract

We explore how information theoretic quantities
such as potential information flow (empowerment) can be used
as a drive toward complex collective behaviour in the context
of multi-agent systems. In a first experiment, we investigate
the empowerment of two agents interacting in a grid world.
We show that some conditions lead to higher empowerment
than others, depending on the amount of interaction and the
amount of information shared by the agents. We then investigate
more deeply the tradeoff between freedom of the agents and the
constraints they impose on each other. We show that there exist a
trade-off between these where empowerment is maximized. In a
third experiment, we show that agents behaving so as to maximize
potential information transfer over time generate a wide range of
complex collective behaviours. We then discuss how these notions
can be compared to what happens in natural systems.

ID: 422192