AUTHOR=Gray Randall , Wotherspoon Simon 

TITLE=Adaptive submodel selection in hybrid models

JOURNAL=Frontiers in Environmental Science

VOLUME=Volume 3 - 2015

YEAR=2015

URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2015.00058

DOI=10.3389/fenvs.2015.00058

ISSN=2296-665X

ABSTRACT=Hybrid modelling seeks to address problems associated with the
  representation of complex systems using ``single-paradigm'' models:
  where traditional models may represent an entire system as a
  cellular automaton, for example, component parts within a hybrid
  model may mix representations as diverse as individual-based models
  of organisms, Markov chain models, fluid dynamics models of regional
  ocean currents, and coupled population dynamics models. In this
  context, hybrid modellers try to choose the best representations for
  each component submodel in order to maximize the utility of the
  model as a whole.

  Even with the flexibility afforded by the hybrid approach, component
  models and the dynamics associated with interacting models may be
  most efficient only in parts of the global state space of the
  system.  The immediate consequence of this possibility is that we
  should consider adaptive hybrid models whose components may change
  their representation based on their own state and the states of the
  other submodels within the system.

  This paper uses a simple example model of an artificial ecosystem to
  explore a hybrid model which may change the form of its component
  sub\-models in response to their local conditions and internal state
  relative to some putative optimization choices.  The example
  demonstrates the assessment and actions of a ``monitor'' agent which
  adjusts the mix of sub\-models as the model run progresses.  A simple
  mathematical structure is also described and used as the basis for a
  sub\-model selection strategy, and alternative approaches are briefly
  discussed.