From a Multi-agent Simulation Theory to GALATEA
Authors: J. Dávila, M. Uzcátegui, K. Tucci
Reference:
In proceedings of 2007 Summer Computer Simulation Conference (SCSC2007), San Diego, USA., (2007)
Abstract
This paper discusses a simulation theory with learning agents
which is serving as a formal specification to guide the
development of GALATEA, a multi-agent simulation platform.
We have extended an existing simulation language: GLIDER,
with abstractions to model systems where autonomous
entities (agents) perceive and act upon their environments. We
are now applying it to the study of multi-agent systems. In
particular, an implementation on Biocomplexity is brieffy
discussed in the paper. We also show how an Inductive Logic
Programming system can be used to learn rules in a
representation very close to the one used to guide the
simulation in the biocomplex system. This establishes the
feasibility of embedding (resource-bounded) learners as
agents that take part in simulating a complex system, as
defined by the theory.
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